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__TOC__
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<html>
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=== Academic Calendar ===
+
-
<html><div class="box-center"></html>
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<table cellspacing=0 cellpadding=0 width="900" border="0">
-
<div class="title">'''Academic Calendar (Fall 09)'''</div>
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<tr><td colspan="3"><img alt="" src="/mediawiki/uploads/8/8d/Img_blank1.jpg" width="38" height="38"></td></tr>
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* Priority Registration : n/a
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<tr><td width="131"></td>
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* Open Registration : Aug. 26 - Aug. 28 (9:00-16:00)
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    <td width=769">
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* Semester Begins : Sep. 1
+
-
Note: Please visit the official SNU website for the registration.
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    <table width="100%" cellspacing=0 cellpadding=0 border="0" style="font-family:arial;color:#000000">
-
<html></div></html>
+
    <tr><td><img src="/mediawiki/uploads/a/ab/04_title.jpg"></td><td width="60">&nbsp;</td></tr>
 +
    <tr><td height=30>&nbsp;</td></tr>
 +
    <tr><td align="center"><img src="/mediawiki/uploads/b/bc/04_img01.jpg" alt=""></td></tr>
 +
    <tr><td height=30>&nbsp;</td>
 +
    <tr><td>Academic & Research Advisory Committee (ARAC) : <span style="font-size:13px;color:#414141">Consisting of 1 intra-unit, 1-inter unit, and 1 advisor</td></tr>
 +
    <tr><td height=5></td></tr>
 +
    <tr><td>English as an Official Language : <span style="font-size:13px;color:#414141">For better communications for academic as well as social purposes.</td></tr>
 +
    <tr><td height=30>&nbsp;</td>
 +
    <tr><td>  
-
<html><div class="box-center"></html>
 
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<div class="title">'''Academic Calendar (Spring 10)'''</div>
 
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* To be announced.
 
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<html></div></html>
 
-
=== Courses(F09) ===
 
-
<html>
 
-
<table border="0" cellpadding="2" cellspacing="2" width=650 bgcolor="#dbdbdb">
 
-
<tr>
 
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28><font color="#ffffff">CRN</font></td>
 
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width=80><font color="#ffffff">Cr</font></td>
 
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width=80><font color="#ffffff">Course Title</font></td>
 
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" width="300"><font color="#ffffff">Instructor</font></td>
 
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Day/Time</font></td>
 
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Location</font></td>
 
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Syllabus</font></td>
 
-
      </tr>
+
   
-
<tr>
+
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
-
<td align=center valign="middle" bgcolor="#ffffff">339.501</td>
+
  <tr>
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
+
    <th bgcolor="#E3E3E3" scope="col">TRACK</th>
-
<td align="left" valign="middle" bgcolor="#ffffff">Principles of Brain and Cognitive Sciences</td>
+
    <th bgcolor="#E3E3E3" scope="col">COURSE <font size="-2">#</font></th>
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<td align="left" valign="middle" bgcolor="#ffffff">Team Teaching</td>
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    <th bgcolor="#E3E3E3" scope="col">CRN</th>
-
<td align="left" valign="middle" bgcolor="#ffffff">MW 9000-1030</td>
+
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
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<td align="left" valign="middle" bgcolor="#ffffff">L304, Bldg.500</td>
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    <th bgcolor="#E3E3E3" scope="col">LECTURER</th>
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<td align="left" valign="middle" bgcolor="#ffffff"></td>
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    <th bgcolor="#E3E3E3" scope="col">SEMESTER<br>
-
</tr>
+
    <font size="-2">(PERIOD)</font></th>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">CORE</td>
 +
    <td>CC-01</td>
 +
    <td>339.501</td>
 +
    <td>Principles of Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CC-02</td>
 +
    <td>339.502</td>
 +
    <td>Methods of Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>MC</td>
 +
    <td>M-01</td>
 +
    <td>339.611</td>
 +
    <td>Molecular and Cellular Neurobiology</td>
 +
    <td>Collingridge, GL</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>M-02</td>
 +
    <td>339.612</td>
 +
    <td>Structure and Fuction of Synapses</td>
 +
    <td>Kaang, BK</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>M-03</td>
 +
    <td>339.613</td>
 +
    <td>Molecular Basis of Mind and Behavior</td>
 +
    <td>Zhuo, M</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MS-01</td>
 +
    <td>339.711</td>
 +
    <td>Excitatory Synapse and Synaptic Plasticity</td>
 +
    <td>Collingridge, GL</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MS-02</td>
 +
    <td>339.712</td>
 +
    <td>Neural Plasticity in Cerebellum</td>
 +
    <td>Kim, SJ</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MSC-01</td>
 +
    <td>339.713</td>
 +
    <td>Ubiquitous Neural Plasticity and Information Storage</td>
 +
    <td>Kim, SJ</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">SB</td>
 +
    <td>SC-01</td>
 +
    <td>339.621</td>
 +
    <td>Clinical Neuscience and Cognitive Neuropsychiatry</td>
 +
    <td>Park, Sohee</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SC-02</td>
 +
    <td>339.622</td>
 +
    <td>Neural Mechanisms of Episodic Memory</td>
 +
    <td>Lee, I</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SC-03</td>
 +
    <td>339.623</td>
 +
    <td>Computational Neuroscience and Neuroinformatics</td>
 +
    <td>Kaiser, M</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SM-01</td>
 +
    <td>339.624</td>
 +
    <td>Experimental Methods in Visual Neuroscience</td>
 +
    <td>Lee, SH</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-01</td>
 +
    <td>339.721</td>
 +
    <td>Classics in Vision and Visual Cognition</td>
 +
    <td>Blake, R</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-02</td>
 +
    <td>339.722</td>
 +
    <td>Place Signals in the Brain </td>
 +
    <td>Lee, I</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-03</td>
 +
    <td>339.723</td>
 +
    <td>Seminars in Visual Neuroscience</td>
 +
    <td>Lee, SH</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">CCN</td>
 +
    <td>CS-01</td>
 +
    <td>339.631</td>
 +
    <td>Neurobiology of Brain Disorders</td>
 +
    <td>Kwon, JS</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CS-02</td>
 +
    <td>339.632</td>
 +
    <td>Neruroimagae Processing</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CS-03</td>
 +
    <td>339.633</td>
 +
    <td>Computational Methods in Neuroimage Analysis</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-01</td>
 +
    <td>339.634</td>
 +
    <td>Statistical methods in Neuroimage Analysis</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-02</td>
 +
    <td>339.731</td>
 +
    <td>Molecular Neuroimaging Princeciples and Applications</td>
 +
    <td>Lee, JS</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-03</td>
 +
    <td>339.732</td>
 +
    <td>Principles of Tomographic Neuroimages</td>
 +
    <td>Lee, JS</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">D</td>
 +
    <td>&nbsp;</td>
 +
    <td>339.803</td>
 +
    <td>Reading and Research</td>
 +
    <td>Each Faculty</td>
 +
    <td><div align="center">each semester</div></td>
 +
  </tr>
 +
</table>
-
<tr>
 
-
<td align=center valign="middle" bgcolor="#ffffff">339.622</td>
 
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Neural Mechanisms of Episodic Memory</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Lee, I</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">TR 9000-1030</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">L303, Bldg.500</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
</tr>
 
-
<tr>
 
-
<td align=center valign="middle" bgcolor="#ffffff">339.613</td>
 
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Molecular Basis of Mind and Behavior</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Zhuo, M</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
</tr>
 
-
<tr>
 
-
<td align=center valign="middle" bgcolor="#ffffff">339.711</td>
 
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Excitatory Synapse and Synaptic Plasticity</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Collingridge, GL</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
</tr>
 
-
<tr>
 
-
<td align=center valign="middle" bgcolor="#ffffff">339.632</td>
 
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Neuroimage Processing</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Chung, MK</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">F 1300-1600</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Rm 116, Bldg.20</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
</tr>
 
-
<tr>
 
-
<td align=center valign="middle" bgcolor="#ffffff">339.723</td>
 
-
<td align=center valign="middle" bgcolor="#ffffff">3</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Seminars in Visual Neuroscience</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff">Lee, SH</td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
<td align="left" valign="middle" bgcolor="#ffffff"></td>
 
-
</tr>
 
-
</table>
 
-
</html>
 
-
=== Plan For Education ===
 
-
==== 3-Track-based Curriculum ====
 
-
                      http://bcs.snu.ac.kr/preview/img/rgb.png
 
-
<b> Academic & Research Advisory Committee (ARAC) : </b>
 
-
Consisting of 1 intra-unit, 1-inter unit, and 1 advisor
 
-
<b>English as an Official Language :</b> For better communications for academic as well as social purposes.
+
    </td></tr>
 +
    <tr><td height=50>&nbsp;</td>
 +
    <tr><td>
-
<html>
+
        <table width="100%" cellspacing=0 cellpadding=0 border="0">
-
<table border="0" cellpadding="0" cellspacing="0" width=780>
+
        <tr><td colspan=2><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">COURSE DESCRIPTION</span></td></tr>
-
+
        <tr><td colspan=2 height="20">&nbsp;</td></tr>
-
<tr><td align=center valign="middle">
+
                    <td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Principles of Brain and Cognitive Sciences(339.501)</span></td></tr>
-
  <table border="0" cellpadding="2" cellspacing="2" width=650 bgcolor="#dbdbdb">
+
    <tr><td height=10></td></tr>
-
<tr>
+
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This is a graduate class, suitable for 1st-year graduate students in Department of Brain & Cognitive Sciences (BCS) or
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28><font color="#ffffff">Track</font></td>
+
graduate/advanced undergraduate students in other programs related to BCS. Students will be introduced to basic research
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width=80><font color="#ffffff">Course #</font></td>
+
principles of BCS by learning fundamental theories and major research topics in modern-day brain and cognitive neurosciences.  
-
<td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width=80><font color="#ffffff">CRN</font></td>
+
Every and each student in the Department of BCS is required to take both this course and < Methods in Brain and Cognitive
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" width="300"><font color="#ffffff">Course Title</font></td>
+
Sciences >, which is provided in conjunction with this course.</td></tr>
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Lecturer</font></td>
+
    <tr><td height=20>&nbsp;</td></tr>
-
  <td align=CENTER valign="middle" bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Semester(period)</font></td>
+
-
      </tr>
+
-
      <tr><td align=center valign="middle" bgcolor="#ffffff" rowspan=2>C</td>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CC 01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.501*</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Principles of Brain and Cognitive Sciences</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Team Teaching</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CC 02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.502*</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Methods in Brain and Cognitive Sciences</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Team Teaching</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(1y)</td>
+
-
      </tr>
+
-
      <tr><td align=center valign="middle" bgcolor="#ffffff" rowspan=6>M</td>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">P-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.611</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Molecular Neurobiology</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kaang, BK</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">P-02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.612</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Structure and Function of Synapses</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kaang, BK</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">P-03</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.613</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Molecular Basis of Mind and Behavior</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Zhuo, M</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">PS-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.711</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Excitatory Synapse and Synaptic Plasticity</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Collingridge, GL</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">P-02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.712</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Neural plasticity in cerebellum</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kim, SJ</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">PSC-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.713</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Ubiquitous Neural Plasticity and Information</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kim, SJ</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(1y)</td>
+
-
      </tr>
+
-
      <tr><td align=center valign="middle" bgcolor="#ffffff" rowspan=7>S</td>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SC-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.621</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Sensory Processes and Perception</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Blake, R</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SC-02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.622</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Neural Mechanisms of Episodic Memory</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, I</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SC-03</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.623</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Computational Neuroscience and Neuroinformatics</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kaiser, M</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SP-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.624</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Experimental Methods in Visual Neuroscience</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, SH</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SCP-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.721</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Classics in Vision and Visual Cognition</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, I</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SPC-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.722</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Place Signals in the Brain</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, SH</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">SPC-02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.723</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Seminars in Visual Neuroscience</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, SH</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr><td align=center valign="middle" bgcolor="#ffffff" rowspan=6>C</td>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CS-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.631</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Neurobiology of Brain Disorders</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Kwon, JS</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(1y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CS-02</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.632</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Neuroimage Processing</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Chung, MK</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CS-03</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.633</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Computational Methods in Neuroimage Analysis</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Chung, Mk</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CSP-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.634</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Statistical Methods in Neuroimage Analysis</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Chung, Mk</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">2(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">CSP-01</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.731</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Molecular Neuroimageing Principles and Applicaations</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, JS</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(2y)</td>
+
-
      </tr>
+
-
      <tr>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">&nbsp;</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.732</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Principles of Tomographic Neuroimages</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Lee, JS</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">1(2y)</td>
+
-
      </tr>
+
-
      <tr><td align=center valign="middle" bgcolor="#ffffff">D</td>
+
-
      <td align=center valign="middle" bgcolor="#ffffff">&nbsp;</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">339.803</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">Reading and Research</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">each faculty</td>
+
-
  <td align="left" valign="middle" bgcolor="#ffffff">each semester</td>
+
-
      </tr>
+
-
      </table>
+
-
</td>
+
-
</tr>
+
-
</table>
+
-
</html>
+
-
=== 교육과정 구성 및 운영계획 ===
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Methods in Brain and Cognitive Sciences(339.502)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Students will be introduced to basic research methods of BCS by learning experimental designs, measurements and analysis of
 +
neural activity used in modern-day brain and cognitive neurosciences. Every and each student in the department of BCS is required
 +
to take both this course and <Principles in Brain and Cognitive Sciences%gt;, which is provided in conjunction with this course.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular and Cellular Neurobiology(339.611)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Research of brain, which once had been considered not to be related to meterials at all, has reached the level at which the complex
 +
molecular mechanisms of synaptic functions are elucidated. This course covers what kinds of molecule are involved in information
 +
delivery through the synapses, affecting synaptic transmission and plasticity based on scientific findings for past few decades.
 +
In addition, this course also includes detailed molecular mechanisms underlying synaptic plasticity in gigantic neuronal system
 +
of Aplysia.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Structure and Function of Synapses(339.612)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Synapse is the very connection between neurons enabling our brain to function. There are largely two types of synapse, one is
 +
chemical synapse and the other is electrical synapse. Chemical synapse uses chemicals called neurotransmitter as a means of
 +
information delivery and in electrical synapse, electrical signal itself is transmitted through the special channel called gap junction
 +
by which information between neurons is delivered. Electrical synapse and chemical synapse have many differences in their
 +
structure and function. Moreover, a variety of receptors and their ligands are reported to exist in chemical synapses.
 +
This course will help you to build up essential knowledges about the structure and function of synapses in general.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular Basis of Mind and Behavior(339.613)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Excitatory Synapse and Synaptic Plasticity(339.711)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Part 1 (4 weeks) Foundation of Neuroscience: History of Neuroscience, Neuroanatomy, Gene expression in the brain, Molecular
 +
Pharamcology & Neuronal signalling. Part 2 (4 weeks): Long-term synaptic plasticity (LTP & LTD) Excitatory synapses, NMDA
 +
receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotropic glutamate receptors and Synaptic Plasticity,
 +
Muscarinic glutamate receptors and Synaptic Plasticity. Part 3 (3 weeks): New insight into molecular and cellular model of learning
 +
and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity,
 +
Future Direction of Neuroscience: Drug development for Alzheimer's disease. Part 4 (5 weeks): Library Project Student will be
 +
informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neural plasticity in cerebellum(339.712)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Neural plasticity is a phenomenon that the efficacy of synaptic connection is changing in response to neuronal activity. Cerebellum
 +
correct motor errors based on neural plasticity through experience. This cerebellar based learning process enables us to
 +
coordinated complex motor behavior and eventually we can remember the learned motor behavior. Therefore, cerebellum is
 +
leading model system to study learning and memory. This lecture covers material to discuss engram from molecule to learning
 +
and memory behavior.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Ubiquitous Neural Plasticity and Information(339.713)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Sensory Processes and Perception(339.621)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and
 +
biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the
 +
environment. A recurring theme in the course would be the relation between brain events and perceptual events, with solid
 +
grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its
 +
grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch
 +
of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links
 +
between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented
 +
with demonstrations and exercises.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
====1. 교육과정 구성 및 운영계획의 적합성====
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neural Mechanisms of Episodic Memory(339.622)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and
 +
biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the
 +
environment. Perception is an area of psychology where the links to neuroscience are among the strongest. Thus, a recurring
 +
theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory
 +
neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology,
 +
perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned
 +
with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of
 +
perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations
 +
and exercises.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
<b>[교육의 목표 및 비전]</b>
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Ubiquitous Neural Plasticity and Information(339.713)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
* 교육의 목표는 미래 뇌인지과학 분야에 자신의 연구영역을 스스로 개척하여 세계적 수준의 연구를 수행할 수 있는 과학자로 성장하도록 도와주는데 있다. 뛰어난 뇌인지과학자가 지닌 핵심능력은 (1) 과학의 문제를 자신의 언어로 사고할 수 있는 독립성, (2) 여러 도메인 (심리학에서 공학, 생물학에 이르기까지)의 데이터를 창의적으로 분석할 수 있는 능력과 기술, (3) 미래에 동료연구자와 협력하며 학생들을 지도하고 실험실을 운영할 과학집단의 리더로서의 능력 등이다. 학생지도와 교과목의 프로그램은 이러한 능력과 기술 그리고 태도를 기르는데 초점을 둘 것이다.
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Computational Neuroscience and Neuroinformatics(339.623)</span></td></tr>
-
* 이러한 목표 달성의 기준은 매우 분명하다. 바로 학생들이 역량있는 과학자로 성장하고 학과의 교수들이 high impact의 연구로 학계에 공헌한다면, 해외에서도 본 학과의 박사과정 프로그램으로 지원하는 학생들이 증가하게 될 것이다. 또한 박사학위를 받은 후 국내 및 해외 우수 연구기관에서도 Research job market에서 경쟁력이 있는 학생들을 길러내는 것도 중요한 지표가 될 것이다. 본 학과는 이러한 지표를 최우선으로 삼고 교수들 자신을 스스로 평가할 것이며 학생들에게 제공하는 교육의 질도 함께 중요한 평가의 지표로 삼을 것이다. 이에 기준하여 학과의 여러 자원들을 학과를 성장시키는 교수들에게 투자하고 외부의 뛰어난 연구자들도 faculty로 초청하는 등 안과 밖으로 원활한 순환구조를 가진 학과로 운영할 것이다.<br><br>
+
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">The course will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. It will also
 +
address the relation between network structure and function at different scales of the nervous system through mathematical
 +
analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing
 +
neuroscience data as well as mathematical approaches for representing neural systems. Complementary practical sessions
 +
will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and Matlab) and to
 +
carry out individual course projects.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
<b>[3-Track-based Graduate Education]</b>
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Experimental Methods in Visual Neuroscience(339.624)</span></td></tr>
-
* 본 학과는 연구의 응집성을 고려하여 해외학자와 국내학자들을 맞춤형으로 초대하여 학과를 창설하려고 한다. 그 대표적인 제도가 심도있는 공동연구를 하도록 3가지 유닛을 둔 것이다. 그 바탕위에 다른 한 편으로 유닛간의 자유롭고 창발적인 협력연구도 이루어지도록 하는 구조를 가지고 있다. 교육체계도 연구체계와 일관적인 구조를 가지는 것이 효율적이고 다학제적이면서도 심화된 방법과 기초훈련이 필수적인 뇌인지과학분야에 적합한 방식이다.<br>
+
    <tr><td height=10></td></tr>
-
* 박사과정에 진입한 학생들은 P(Protein to Cognition)-Track, S(System & Cognitive)-Track, C(Clinical Neuro & Computational Neuroanat)-Track 중 하나를 major track으로 정하고, 반드시 나머지 2 track중의 하나를 minor track으로 정하도록 한다. <br>
+
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Episodic memory enables us to remember past events vividly. The role of the hippocampus and associated areas in the brain in
-
* 이러한 구성은 본 학과 및 뇌인지과학의 특성을 반영한 것으로, 자신의 영역에 심화된 학습과 연구를 함과 동시에 인접분야에 대한 이해력과 공동연구가 가능한 정도의 지식과 경험을 기르기 위해서 반드시 필요한 것이다. <br><br>
+
remembering episodic events has been studied for almost 50 years in various forms. The objective of this course is to provide
 +
students an opportunity to learn how a network of brain areas works together to realize episodic memory. The course will introduce
 +
the literature on amnesic patients and animal studies related to the topic. In tandem with critical reading of the literature, anatomical
 +
regions involved in episodic memory will be introduced. The course targets doctoral students who finished their basic course
 +
requirements such as the Introduction to Brain and Behavior.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
<b>[Academic & Research Advisory Committee의 운용]</b>
 
-
* 입학할 때 Major track에 해당하는 unit의 교수들 중 1명을 반드시 지도교수를 선정해야 한다. 그리고 minor track에 해당하는 unit의 교수들 중 1명, 그리고 선택하지 않은 track의 교수들 중 1명을 추가선정하여, 지도교수를 포함 3인으로 된 Academic & Research Advisory Committee(ARAC)를 각 학생별로 구성한다.<br>
 
-
* ARAC는 (i) 해당학생이 적성과 능력에 맞는 교과목을 선정하고 연구활동을 할 수 있도록 도와주는 역할을 하며 (ii) 학생의 교과목 성적, 연구활동의 내용과 수준을 평가하여 지도할 의무를 지닌다. (iii) 학생은 매 년 자신의 ARAC에 자신이 수강한 교과목의 이해도를 반영하는 발표, 그리고 자신의 연구활동의 진도보고를 하는 시간을 가지도록 한다.
 
-
* ARAC의 평가결과는 학과에 보고되며, 우수한 학생에게는 인센티브(장학금 및 해외연수)를 주고, 학업능력이 현저히 미달하거나 연구활동이 기준에 훨씬 미치지 못할 경우 학과회의에서 의결하여 프로그램 종료를 권하는 제도를 마련할 것임.
 
-
* ARAC 제도의 의도는 연구자로서 출발선에 선 학생들에게 밀착하여 지도하며, 적절한 피드백과 대화를 통해 학생들도 도움을 얻고 교수들도 교육과 연구지도의 방식에 개선을 가져오게 하는 효과를 기대한다.<br><br>
 
-
<b>[영어사용의 의무화]</b>
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Classics in Vision and Visual Cognition(339.721)</span></td></tr>
-
* 해외학자들과 활발히 교류하기 위해, 그리고 그들에게 접근가능한 연구환경을 제공하기 위해, 영어사용의 기회를 학생들에게 제공하기 위해, 수업은 물론, 학과 내에서는 일상의 대화에도 영어사용을 의무화할 것이다. 영어는 단순히 미국이나 영국의 국어가 아니라 세계인의 언어이며 과학의 내용을 전달하는 미디엄이므로 학생들의 영어사용을 의무화하는 것은 매우 당연한 것이다. <br><br>
+
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This is a 13-week introductory course in Cognitive Neuroscience suitable for graduate or advanced undergraduate students who
 +
want to learn about recent advances in cognitive neuroscience. The major emphasis of this class is on the relationship among
 +
psychological circumstances, cognitive computations, and neuronal/cortical activity while humans or animals perform various
 +
cognitive tasks, including sensation, perception, memory, learning, decision making, social interaction and affective responses.  
 +
The course will also cover recent advances in neuroimaging of human/animal brains with various techniques including functional
 +
MRI, diffusion MRI, Optical imaging, EEG, MEG.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
====2. 참여교수별 매 학기당 담당 교과목 배분 및 학생지도계획의 적절성====
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Place Signals in the Brain(339.722)</span></td></tr>
-
 
+
    <tr><td height=10></td></tr>
-
<b>2-1. 교과목 운영계획</b>
+
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This course would survey classic papers in different areas of visual science, the aim being to evaluate how those areas have
 +
evolved since publication of those papers. The following areas of visual science could be covered: visual neurophysiology, brain
 +
imaging, color vision, binocular vision, spatial vision, motion perception, attention, visual memory and visual cognition. Throughout
 +
the course, individual participants would be responsible for researching a particular area, identifying exemplary contemporary
 +
papers and leading a classroom discussion the current status of the area. This course would provide an important foundation
 +
for students engaged in work in cognitive neuroscience, and the course could be modified to include topics other than vision if
 +
the faculty deemed that important. The course would assume a seminar format.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
-
* Full-time교수는 2 강좌, semester 해외학자는 1 강좌 이상의 대학원 과목를 개설하도록 하였다.
 
-
* 과목들은 특정 track에 특화된 정도에 따라 분류될 수 있으며 관련된 track이 하나 이상일 때 그 비중의 순서대로 Course number를 할당하였다. 예를 들어, CP-01의 의미는 'Clinical Neuroscience & Computational Anatomy' track에서 제공되는 과목이지만 'Protein to Cognition' track에도 관련된 부분의 내용을 제공하고 있는 강의라는 것이다. <br>
 
-
* 본 학과의 교수가 아니더라도 서울대의 관련 학과(생명과학부, 공학, 수학, 물리학, 심리학 등)의 과목들 중 관련된 것들에서 선별하여 전공과목으로 인정하고 교과목 번호를 할당할 계획.<br>
 
-
* 학생들은 자신의 major track에서 50% 이상, 그 외 minor track에서 25%이상을 반드시 수강하도록 할 것이다.
 
-
<br><br>
+
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Seminars in Visual Neuroscience(339.723)</span></td></tr>
-
<b>2-2. 교과목명, 담당교수, 교과목내용</b>
+
    <tr><td height=10></td></tr>
-
* 각 track별로 제공되는 과목이름과 과목번호 및 담당교수 표
+
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This course will target doctoral students interested in learning electrophysiological techniques for recording single units in freely
 +
moving animals. Differential recording techniques and other basic physiological contents (e.g., local field potentials, evoked
 +
potentials, etc.) will be covered possibly with a laboratory component. The course will require approximately 2-3 hours of lecture
 +
and possibly 1 hour of hands-on experiment in the lab.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neurobiology of Brain Disorders(339.631)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">This course on the surface is primarily about psychosis, but a careful examination of psychosis will enable us to delve deeply into
 +
some of the fundamental questions about how the brain functions and malfunctions as well as addressing core questions about
 +
human nature. Schizophrenia and bipolar disorder are devastating conditions, which affect about 2+% of the population worldwide.  
 +
We will focus mostly on biological and cognitive aspects of these psychotic disorders with a special emphasis on cognitive
 +
neuroscience. We will also examine biological roots of aggression, social cognition, sex differences,and psychiatric genetics.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neuroimage Processing(339.632)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Basics on neuroimage processing will be covered. The target audience is the 1styear PhD and masters degree students and
 +
researchers although mathematically and computationally sophisticated senior undergraduate students should be able to follow the
 +
course. The focus of the course is not on how to use available neuroimaging packages such as SPM but on the basic understanding
 +
of mathematical and statistical principles on various image processing algorithms. However, students are required to do homework
 +
using existing neuroimaging software packages. MATLAB will be used as a language of instruction although students can do
 +
homework and project in any computer languages of their choice. The following topics will be covered: registration, segmentation,
 +
intensity normalization, image filtering and smoothing, shape and geometry modeling.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Computational Methods in Neuroimage Analysis(339.633)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Basics on various computational techniques will be covered. The target audience is the 1nd year PhD and master's degree students.
 +
No knowledge in image analysis is required although the course "Neuroimage Processing" will help students in manipulating images.
 +
Various computational and numerical issues in neuroimage processing and analysis will be addressed. The focus of the course is
 +
on the algorithmic aspect of various computation intensive procedures. MATLAB will be used as a language of instruction although
 +
students can do homework and project in any computer languages of their choice. The following topics will be covered: numerical
 +
techniques for ordinary and partial differential equations, finite element methods, spectral methods,optimization, least squares
 +
method, matrix algorithms, classification and clustering. Two lectures (90min each) per week plus one computer tutorial (60min)
 +
will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical
 +
motivation for the course.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Statistical Methods in Neuroimage Analysis(339.634)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Basics on various statistical techniques will be covered. The target audience is the 1st year PhD and master's degree students.
 +
No knowledge in image analysis is required although the courses "Neuroimage Processing" and "Computational Methods in
 +
Neuroimage Analysis" will help understanding course materials. All the statistical techniques used in the current neuroimaging
 +
research will be covered. The focus of the course is on the learning modern statistical methodology. R and MATLAB will be used
 +
as a language of instruction. The following topics will be covered: general linear model, likelihood estimation methods, nonparametric
 +
test procedures, multiple comparisons, false discovery rates, random field theory, permutation tests, logistic regression, longitudinal
 +
growth model, mixed effect model, discriminant analysis, multivariate test procedures. Two lectures (90min each) per week plus one
 +
tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide
 +
biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%),
 +
oral presentation and class participation (20%).</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular Neuroimageing Principles and Applications(339.731)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Molecular imaging of the central nervous system is essential technology for better understanding the basic biology of brain function
 +
and the way in which various disease processes affect the brain. This course will survey the basic principles of molecular neuroimaing
 +
technologies, including radioisotope, optical, and magnetic resonance imaging. The current state and clinical applications of molecular
 +
neuroimaging will be also introduced.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Principles of Tomographic Neuroimages(339.732) </span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px;text-align:justify">Tomographic neuroimaging technologies provide the anatomical, functional and biochemical information of brain and play important
 +
roles in the brain and cognitive sciences. This course surveys the fundamental physical, chemical and biological principles, hardware
 +
and software systems, image acquisition technologies, and current trends in the representative tomographic neuroimaging
 +
technologies including magnetic resonance imaging (MRI), X-ray CT, positron emission tomography (PET) and single photon
 +
emission tomography (SPECT). In addition, the basic principles and 3D mapping methods for EEG and MEG will be introduced.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Reading and Research(339.803)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Reading and Research.</td></tr>
 +
    <tr><td height=50>&nbsp;</td></tr>
 +
<tr><td height=20>&nbsp;</td></tr>
 +
 
 +
 
 +
   
 +
  </table>
 +
 
-
<br><br>
 
-
<html>
 
-
<table border="0" cellpadding="0" cellspacing="0" width=780>
 
-
 
-
<tr><td align=center valign=middle class="research2">
 
-
  <table border="0" cellpadding="2" cellspacing="2" width=650 bgcolor="#dbdbdb">
 
-
<tr><td align=CENTER valign=middle bgcolor="#729dcc" class="research2" height=28><font color="#ffffff">Track</font></td>
 
-
<td align=CENTER valign=middle bgcolor="#729dcc" class="research2" height=28 width=80><font color="#ffffff">Course #</font></td>
 
-
  <td align=CENTER valign=middle bgcolor="#729dcc" class="research2" width="300"><font color="#ffffff">Course Title</font></td>
 
-
  <td align=CENTER valign=middle bgcolor="#729dcc" class="research2" height=28 width="100"><font color="#ffffff">Lecturer</font></td>
 
-
      </tr>
 
-
      <tr><td align=center valign=middle bgcolor="#ffffff">Protein to Cognition</td>
 
-
      <td align=right valign=middle bgcolor="#ffffff">P-01<br>P-02<br>P-03<BR>PS-01<br>PS-02<BR>PSC-01</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">Molecular Neurobiology<BR>Neural plasticity in cerebellum
 
-
  <BR>Ubiquitous neural plasticity and information<BR>
 
-
  Structure and Function of Synapses<BR>
 
-
  Excitatory Synapse and Synaptic Plasticity<BR>
 
-
  Molecular basis of mind and behaior</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">Kaang, BK<br>Kim, SJ<br>Kim, Sj<br>Kaang, BK<br>Collingridge, GL<br>Zhuo, M</td>
 
-
      </tr>
 
-
      <tr><td align=center valign=middle bgcolor="#ffffff">System & Cognitive Neuroscience</td>
 
-
      <td align=right valign=middle bgcolor="#ffffff">SC-01<br>SC-02<br>SC-03<br>
 
-
      SP-01<br>SCP-01<br>SPC-01<br>SPC-02</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">visual Neuroscience<br>
 
-
  Sensory Processes and Perception<br>Comp. Neuroscience and Neuroinfo<br>
 
-
  Neural Mechanisms of Episodic Memory<br>Brain & Cognitive Neuroscience
 
-
  <br>Classics in Vision and Visual Cognition<br>
 
-
  Behavioral Neurophysiology</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">Lee, SH<br>Blake, R<br>Kaiser, M<br>Lee, I<br>Lee, SH<br>Blake, R<br>
 
-
  Lee, I</td>
 
-
      </tr>
 
-
      <tr><td align=center valign=middle bgcolor="#ffffff">Clinical Neuro. & Computational Neuroanat.</td>
 
-
      <td align=right valign=middle bgcolor="#ffffff">CS-01<br>CS-02<br>CS-03<br>CSP-01<br>CPS-01</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">Clinical Neuro_ and Cog. neuropsychiatry<br>
 
-
  Neuroimage Processing<br>
 
-
  Comp. Methods in Neuroimage Analysis<br>
 
-
  Neurobiology of Brain Disorders<br>
 
-
  Molecular Neuroimageing Princ. and Appli.</td>
 
-
  <td align=left valign=middle bgcolor="#ffffff">Park, S<br>Lee, JS<br>Chung, MK<br>Kwon, JS<br>Lee, JS</td>
 
-
</tr>
 
-
</table>
 
</td>
</td>
</tr>
</tr>
 +
    <tr>
 +
      <td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Courses (FALL 12)</span></td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td>
 +
 +
 +
    <table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <tr>
 +
    <th bgcolor="#E3E3E3" scope="col">CRN</th>
 +
    <th bgcolor="#E3E3E3" scope="col">CR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
 +
    <th bgcolor="#E3E3E3" scope="col">INSTRUCTOR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">DAY / TIME</th>
 +
    <th bgcolor="#E3E3E3" scope="col">LOCATION</th>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.501</strong></td>
 +
    <td>3</td>
 +
    <td>Principles of Brain and Cognitive Sciences</td>
 +
    <td>Lee, Inah</td>
 +
    <td>Wed(8,9,10)</td>
 +
    <td> 024-104</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.611</strong></td>
 +
    <td>3</td>
 +
    <td>Molecular and Cellular Neurobiology</td>
 +
    <td>Kaang, Bong Kiun</td>
 +
    <td>Thu(8,9,10)</td>
 +
    <td>203-104A</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.621</strong></td>
 +
    <td>3</td>
 +
    <td>Sensory Processes and Perception</td>
 +
    <td>Kwon, Jun Soo</td>
 +
    <td>Wed(4,5,6)</td>
 +
    <td>203-104B</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.631</strong></td>
 +
    <td>3</td>
 +
    <td>Neurobiology of Brain Disorders</td>
 +
    <td>Lee, Sang-Hun</td>
 +
    <td>Thu(5,6,7)</td>
 +
    <td>220-650C</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.711</strong></td>
 +
    <td>3</td>
 +
    <td>Excitatory Synapse and Synaptic Plasticity</td>
 +
    <td>Graham Leon Collingridge</td>
 +
    <td>Tue(5,6,7)</td>
 +
    <td>203-104B</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.723</strong></td>
 +
    <td>3</td>
 +
    <td>Seminars in Visual Neuroscience</td>
 +
    <td>Lee, Sang-Hun</td>
 +
    <td> Thu(2,3,4)</td>
 +
    <td>220-650C</td>
 +
  </tr>
 +
 +
  <tr>
 +
    <td><strong>339.731</strong></td>
 +
    <td>3</td>
 +
    <td>Molecular Neuroimageing Principles and Applications</td>
 +
    <td>Lee, Jae Sung</td>
 +
    <td>Wed(5,6,7)</td>
 +
    <td>&nbsp;</td>
 +
  </tr>
</table>
</table>
-
</html>
 
-
<br><br>
+
 
 +
    </td></tr>
 +
    <tr><td height=40>&nbsp;</td></tr>
 +
    <tr>
 +
      <td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Courses (Spring 13)</span></td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td>  
-
<b>‘Protein to Cognition' track에서 제공되는 교과목의 핵심내용</b>
+
   
 +
      <table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <tr>
 +
    <th bgcolor="#E3E3E3" scope="col">CRN</th>
 +
    <th bgcolor="#E3E3E3" scope="col">CR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
 +
    <th bgcolor="#E3E3E3" scope="col">INSTRUCTOR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">DAY / TIME</th>
 +
    <th bgcolor="#E3E3E3" scope="col">LOCATION</th>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.611</strong></td>
 +
    <td>3</td>
 +
    <td>Molecular and Cellular Neurobiology</td>
 +
    <td>Kaang, Bong Kiun</td>
 +
    <td>Thu(9,10,11)</td>
 +
    <td>203-104B</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.612</strong></td>
 +
    <td>3</td>
 +
    <td>Structure and Function of Synapses</td>
 +
    <td>Lee, Sang-Hun</td>
 +
    <td>Wed(10,11,12)</td>
 +
    <td>220-650C</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.621</strong></td>
 +
    <td>3</td>
 +
    <td>Sensory Processes and Perception</td>
 +
    <td>Kwon, Jun Soo</td>
 +
    <td>Wed(4,5,6)</td>
 +
    <td>203-104B</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.624</strong></td>
 +
    <td>3</td>
 +
    <td>Experimental Methods in Visual Neuroscience</td>
 +
    <td>Lee, Sang-Hun</td>
 +
    <td>Tue(5,6,7,8)</td>
 +
    <td>220-650C</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>*339.632</strong></td>
 +
    <td>3</td>
 +
    <td>Neuroimage Processing</td>
 +
    <td>Lee, Jae Sung</td>
 +
    <td>Tue(8,9,10,11)</td>
 +
    <td>&nbsp;</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.711</strong></td>
 +
    <td>3</td>
 +
    <td>Excitatory Synapse and Synaptic Plasticity</td>
 +
    <td>Graham Leon Collingridge</td>
 +
    <td>Tue(5,6,7)</td>
 +
    <td>203-104B</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.712</strong></td>
 +
    <td>3</td>
 +
    <td>Neural plasticity in cerebellum</td>
 +
    <td>Kim, Sang Jeong</td>
 +
    <td>Wed(1,2,3)</td>
 +
    <td>&nbsp;</td>
 +
  </tr>
 +
  </table>
-
* Course number: P-01.
+
<br>&nbsp;<font style="font-family:arial;color:#333333;font-size:12px;line-height:15px">* Seminar</font>
-
Course title: Molecular Neurobiology
+
-
Lecturer: Kaang, BK
+
-
Overview: 물질과는 관련이 없을 것으로 여겨지던 뇌에 대한 연구가 이제는 시냅스에서 이루어지는 복잡한 분자 메커니즘들을 밝혀내는 데 이르렀다. 어떤 분자들이 관여하여 신경 세포가 정보를 전달하게 되고, 시냅스 가소성의 특성을 갖게 되는 지, 최근까지 수십 년간 연구내용을 바탕으로 강의를 구성할 예정이다. 특히, 군소의 거대 신경 세포 시스템을 통해 밝혀진 시냅스 가소성에 대한 세세한 분자 메커니즘도 포함할 예정이다.
+
-
* Course number: PS-01.
 
-
Course title: Structure and Function of Synapses
 
-
Lecturer: Kaang, BK
 
-
Overview: 시냅스는 신경세포와 신경세포의 연결로서, 뇌 기능을 가능하게 만드는 요소라 할 수 있다. 시냅스는 화학적 시냅스와 전기적 시냅스로 나뉘며, 화학적 시냅스가 화학물질을 정보 전달 수단으로 사용한다면, 전기적 시냅스는 전기 신호 자체가 gap junction을 통해 이동함으로써 정보를 전달하게 된다. 전기적 시냅스와 화학적 시냅스는 그 구조와 기능에 차이가 있으며, 특히 화학적 시냅스에는 여러 수용체와 리간드가 잘 알려져 있다. 이 과목을 통해 이에 대한 전반적 지식을 쌓을 수 있도록 구성할 예정이다.
 
-
* Course number: PS-02.  
+
    </td></tr>
-
Course title: Excitatory Synapse and Synaptic Plasticity
+
    <tr><td><UL STYLE="list-style-image: url(/mediawiki/uploads/img_ul.gif);font-family:arial;color:#999999;font-size:13px;line-height:15px">
-
Lecturer: Collingridge, GL
+
    <LI>If you are a first year master's program student, you must register for the Core Course 01, Principles of Brain and Cognitive Sciences
-
Overview: Part 1 (4 weeks) Foundation of Neuroscience
+
  and one 3 credit major track course. You can take up to 12 credits a semester.
-
History of Neuroscience, Neuroanatomy, Gene expression in the brain, Molecular Pharamcology & Neuronal signalling, Part 2 (4 weeks): Long-term synaptic plasticity (LTP & LTD) Excitatory synapses, NMDA receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotorpic glutamate receptors and Synaptic Plasticity, Muscarinic glutamate receptors and Synaptic Plasticity, Part 3 (3 weeks): New insight into molecular and cellular model of learning and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity, Future Direction of Neuroscience: Drug development for Alzheimer’s disease. Part 4 (5 weeks): Library Project Student will be informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).
+
    <LI>If you are a first year Ph.D. program student, you also must register for the Core Course 01, Principles of Brain and Cognitive Sciences
 +
  and one 3 credit major track course. You can take up to 12 credits a semester.
 +
</UL>
 +
<br>&nbsp;<font style="font-family:arial;color:#333333;font-size:12px;line-height:15px"> <a href="http://bcs.snu.ac.kr/mediawiki/uploads/7/74/Subject_list.pdf" alt="" />* Click here to see the list of subjects is suitable for the prerequisite subject.</a></font>
 +
</td></tr>
-
* Course number: PSC-01.
+
    <tr><td height=40>&nbsp;</td></tr>
-
Course title: Molecular basis of mind and behavior
+
    <tr>
-
Lecturer: Zhuo, M
+
      <td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Graduation requirements</span></td></tr>
-
Overview: This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
+
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td>
 +
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 +
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 +
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 +
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 +
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 +
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-
* Course number: P-02.  
+
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-
Course title: Neural plasticity in cerebellum
+
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-
Lecturer: Kim, SJ
+
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-
Overview: 신경 가소성은 신경계의 활동에 의존적으로 신경계 연결의 효율성이 변하는 현상이다. 소뇌 (cerebellum)는 신경가소성을 통해 경험을 바탕으로 운동 착오를 교정하고, 우리는 이러한 소뇌의 학습과정을 통해 복잡한 운동을 조화롭게 수행하고, 학습된 운동을 기억할 수 있다. 소뇌는 학습과 기억을 연구하는 모델 시스템으로 각광을 받고 있다. 이 교과목에서는 소뇌의 신경 가소성을 분자 수준에서부터 학습과 기억의 행동 수준까지 통찰할 수 있는 재료를 제공한다.
+
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 +
document.getElementById("btn5").style.backgroundColor ="";
-
* Course number: P-03.  
+
document.getElementById("btn1").style.color="#333";
-
Course title: Ubiquitous neural plasticity and information
+
document.getElementById("btn2").style.color="#333";
-
Lecturer: Kim, SJ
+
document.getElementById("btn3").style.color="#333";
-
Overview: 신경계는 흥분성과 억제성 시냅스로 연결되어 있다. 이 교과목에서는 시냅스를 구성하는 다양한 세포막 분자들이 신경계의 활동에 따라 가소적 변화 (plastic change)를 보이는 현상을 지지하는 최신 지견을 다루며, 더 나아가 이러한  ubiquitous한 신경가소성이 신경계의 정보저장과 이를 지원하는 항상성에 기여하는 기전을 제시한다.
+
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 +
document.getElementById("btn5").style.color="#333";
-
<br><br>
+
document.getElementById("btn1").style.fontWeight="normal";
-
<b>'System & Cognitive Neuroscience' track에서 제공되는 교과목의 핵심내용</b>
+
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 +
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-
* Course number: SCP-01.  
+
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-
Course title: Brain & Cognitive Neuroscience
+
document.getElementById("showtable2").style.display="none";
-
Lecturer: Lee, SH
+
document.getElementById("showtable3").style.display="none";
-
Overview: This is a 13-week introductory course in Cognitive Neuroscience suitable for graduate or advanced undergraduate students who want to learn about recent advances in cognitive neuroscience. The major emphasis of this class is on the relationship among psychological circumstances, cognitive computations, and neuronal/cortical activity while humans or animals perform various cognitive tasks, including sensation, perception, memory, learning, decision making, social interaction and affective responses. The course will also cover recent advances in neuroimaging of human/animal brains with various techniques including functional MRI, diffusion MRI, Optical imaging, EEG, MEG.
+
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 +
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* Course number: SC-01.  
+
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-
Course title: Visual Neuroscience: phenomena, algorithms & neural implementation
+
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-
Lecturer: Lee, SH
+
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-
Overview: This is an advanced graduate class, suitable for graduate students majoring and/or interested in visual neuroscience, experimental psychology, computational neuroscience or sensory/system-level neuroscience. There will a short series of lectures (5 weeks), in which students will be introduced to key scientific concepts, research topics and methodological issues in modern-day visual neuroscience. Then attendees will take turns presenting an article on visual neuroscience and leading discussions of critical issues and methodological questions related to that article. Students are (not required but) expected to have taken classes on Neuroscience and introductory-level Linear algebra/differential equation and be ready to invest 6-8 hours in reading research articles every week.
+
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 +
}
 +
</script>
 +
<span class="button"><input type="button" id="btn1" value="학위수료" onclick="javascript:showtable('showtable1',this.id)" style="background:red;color:white;font-weight:bold">
 +
<input type="button" id="btn2" value="전공별 이수학점" onclick="javascript:showtable('showtable2',this.id)">
 +
<input type="button" id="btn3" value="논문제출자격시험" onclick="javascript:showtable('showtable3',this.id)">
 +
<input type="button" id="btn4" value="논문심사" onclick="javascript:showtable('showtable4',this.id)">
 +
<input type="button" id="btn5" value="학위수여" onclick="javascript:showtable('showtable5',this.id)"></span><br/><br/>
 +
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999" id="showtable1">
 +
  <col width="218" />
 +
  <col width="270" span="3" />
 +
  <tr>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>구분</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>박사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석·박사 통합과정</b></td>
 +
  </tr>
 +
  <tr>
 +
    <td width="218"><b>등록회수</b></td>
 +
    <td width="270">4회 이상 ~ 8회 이하</td>
 +
    <td width="270">4회 이상 ~ 12회 이하</td>
 +
    <td width="270">6회 이상 ~ 16회 이하</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="2" width="218"><b>취득학점</b></td>
 +
    <td width="270">24학점 이상</td>
 +
    <td width="270">36학점 이상</td>
 +
    <td width="270">60학점 이상</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="270">- 전공필수 교과목 반드시 이수</td>
 +
    <td width="270">- 전공필수 교과목 반드시 이수</td>
 +
    <td width="270">- 전공필수 교과목 반드시 이수</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="218"><b>성적</b></td>
 +
    <td width="270">전 교과목 성적 평점평균 3.0 이상</td>
 +
    <td width="270">전 교과목 성적 평점평균 3.0 이상</td>
 +
    <td width="270">전 교과목 성적 평점평균 3.0 이상</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="218">　</td>
 +
    <td width="270">- 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다.</td>
 +
    <td width="270">- 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다.</td>
 +
    <td width="270">- 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다.</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="218">　</td>
 +
    <td width="270">※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research    Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한    보고를 행정실에 제출</td>
 +
    <td width="270">※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research    Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한    보고를 행정실에 제출</td>
 +
    <td width="270">※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research    Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한    보고를 행정실에 제출</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="218">　</td>
 +
    <td width="270">※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함.</td>
 +
    <td width="270">※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함.</td>
 +
    <td width="270">※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함.</td>
 +
  </tr>
 +
</table>
 +
<div id="showtable2" style="display:none;font-size:12px">
 +
■ <b>석사과정</b><br>
 +
24학점 이상 (전공필수 교과목 반드시 이수)<br>
 +
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <col width="218" />
 +
  <col width="270" span="3" />
 +
  <tr>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>과정 및 학점</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>전공필수 교과목</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>전공선택 교과목</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>비고</b></td>
 +
  </tr>
 +
  <tr height="26">
 +
    <td width="193"><strong>석사과정-24학점</strong><br />
 +
        <br />    </td>
 +
    <td rowspan="3" width="193"><div align="center">2과목 6학점<br />
 +
        <br />
 +
        <strong>339.501</strong> : <br />
 +
      - 뇌인지과학의 원리<br />
 +
      <strong>339.502</strong> :<br />
 +
      - 뇌인지과학의 방법<br />
 +
      <br />   
 +
      </div></td>
 +
    <td rowspan="3" width="354"><strong>Molecule to Cognition</strong><br />
 +
        <br />
 +
      339.613 : 분자수준에서 바라본 마음과 행동의 토대<br />
 +
      339.711 : 흥분성 시냅스와 시냅스 가소성<br />
 +
      339.712 : 소뇌의 신경 가소성<br />
 +
      339.713 : 유비쿼터스 신경가소성과 정보저장<br />
 +
      <br />
 +
      <strong>System &amp; Behavioral</strong><br />
 +
      <br />
 +
      339.623 : 계산론적 신경과학과 신경정보학<br />
 +
      339.624 : 시각신경과학의 실험방법<br />
 +
      339.721 : 시각과 시각인지의 고전들<br />
 +
      339.723 : 시각의 신경과학 세미나<br />
 +
      339.721 : 시각과 시각인지의 고전들<br />
 +
      <br />
 +
      <strong>Clinical &amp; Computation</strong><br />
 +
      <br />
 +
      339.632 : 신경영상처리<br />
 +
      339.633 : 신경영상분석의 계산기법<br />
 +
      339.634 : 신경영상분석의 통계적 기법<br />
 +
      339.731 : 분자 신경영상의 원리와 응용<br />
 +
      339.732 : 단층 신경영상 기법의 원리 <br />
 +
      <br />
 +
      **<strong>2군 교과목</strong><br />
 +
      (대학원 교과목중 강의내용을 개설년도 또는 학기별로 다르게 운영해야할 필요성이 있는 경우 교과목군 2군으로 따로 지정, 분류하며 교과목번호 왼쪽에 표기하는 과목)<br />
 +
      <br />
 +
      339.622 : 뇌에서의 일화기억의 메커니즘<br />
 +
      (부제 : 학습과 기억)<br />
 +
      339.722 : 뇌의 위치파악 신호<br />
 +
      (부제 : 뇌의 신경 기억 이전)<br />
 +
      <br />
 +
      *****<strong>2군 세미나 교과목</strong><br />
 +
      (지도교수 승인하에 <strong>박사과정 및 통합과정 재학생이 박사학위 진입 시점부터 수강 가능</strong>)<br />
 +
      <br />
 +
      339.611 : 분자 및 세포 신경생물학<br />
 +
      (부제 : 분자인지과학    세미나 1)<br />
 +
      339.612 : 시냅스의 구조와 가능<br />
 +
      (부제 : 분자인지과학    세미나 2)<br />
 +
      339.621 : 임상신경과학 및 인지 신경정신과학<br />
 +
      339.631 : 뇌질환의 신경생물학<br />
 +
      (부제 : 정신병리과학 세미나)</td>
 +
    <td rowspan="3"  width="193">* 뇌인지과학과의 전공과목 으로 설정되지 않은 교과목일지라도 전공지도교수의 추천에 의하여 학과장이 인정하는 타학과의 대학원과정 교과목을 이수할 경우 과정별 수료학점의 1/2범위 내에서 전공과목으로 인정할 수 있고, 과정수료학점으로 인정할 수 있다. 단, 71조 2항의 학사과정 이수학점은 위의 1/2범위 내에 인전학점 으로 포함한다.<br />
 +
        <br />
 +
      * 논문연구 교과목의 취득학점은 석사과정의 경우 과정수료학점의 1/4 이내, 박사과정의 경우에는 과정수료학점의    1/3이내이며, 취득한도 내에서 반복 수강할 수 있으나 한 학기에 2강좌 이상 수강할수 없다(단, 석박사 통합과정 학생은 지도교수의 인정에 따라 2개 강좌까지 이수할 수 있음).<br />
 +
      <br />
 +
      * Major 및 Minor 구분없이<br />
 +
      각 유닛에서 개설한 교과목을 전공선택 과목으로 수강 할수있음. 　</td>
 +
  </tr>
 +
 
 +
  <tr >
 +
    <td  width="193">    <strong>박사과정-36학점</strong></td>
 +
  </tr>
 +
 
 +
  <tr >
 +
    <td width="193">  <strong>석박통합과정-60학점</strong></td>
 +
  </tr></table>
 +
■ <b>유의사항</b> <br>
 +
 +
※ 학사과정 교과목 및 타 대학원 교과목 이수학점의 인정 석사과정 또는 석·박사 통합과정의 학생으로서 학사과정 교과목을
 +
이수하고자 할 때에는 학과장의 승인을 받아 학점을 취득할 수 있으며, 6학점 이내에서 과정수료 학점으로 인정하며,
 +
학생이 국내·외의 학교에서 취득한 학점은 과정별 이수학점의 2분의 1이내에서 이수 학점으로 인정함 (별도의 심사 필요) <br> <br>
 +
 +
※ 학부 교과목중 교양과목은 일체 학점인정 불가하니 유의하기 바람.
-
* Course number: SC-02.
+
</div>
-
Course title: Sensory Processes and Perception
+
-
Lecturer: Blake, R
+
-
Overview: This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the environment. Perception is an area of psychology where the links to neuroscience are among the strongest. Thus, a recurring theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations and exercises.
+
-
* Course number: SPC-01.
+
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="display:none;font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999" id="showtable3">
-
Course title: Classics in Vision and Visual Cognition
+
  <col width="100px" />
-
Lecturer: Blake, R
+
  <col width="270" span="3" />
-
Overview: This course would survey classic papers in different areas of visual science, the aim being to evaluate how those areas have evolved since publication of those papers. The following areas of visual science could be covered: visual neurophysiology, brain imaging, color vision, binocular vision, spatial vision, motion perception, attention, visual memory and visual cognition. Throughout the course, individual participants would be responsible for researching a particular area, identifying exemplary contemporary papers and leading a classroom discussion the current status of the area. This course would provide an important foundation for students engaged in work in cognitive neuroscience, and the course could be modified to include topics other than vision if the faculty deemed that important. The course would assume a seminar format.
+
  <tr>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center width="100px"><b>구분</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>박사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석·박사 통합과정</b></td>
 +
  </tr>
-
* Course number: SP-01.
+
  <tr >
-
Course title: Neural Mechanisms of Episodic Memory
+
<td  align=center>
-
Lecturer: Lee, I
+
응시자격</td>
-
Overview: Episodic memory enables us to remember past events vividly. The role of the hippocampus and associated areas in the brain in remembering episodic events has been studied for almost 50 years in various forms. The objective of this course is to provide students an opportunity to learn how a network of brain areas works together to realize episodic memory. The course will introduce the literature on amnesic patients and animal studies related to the topic. In tandem with critical reading of the literature, anatomical regions involved in episodic memory will be introduced. The course targets doctoral students who finished their basic course requirements such as the Introduction to Brain and Behavior (above). The course will require approximately 2-3 hours of lecture and discussion per week.
+
<td >
 +
2개 학기 이상 등록하고 9학점<br />
 +
이상 취득한 자</td>
 +
<td >
 +
2개 학기 이상 등록하고 9학점<br />
 +
이상 취득한 자</td>
 +
<td >
 +
5개 학기 이상 등록하고 36학점 이상 취득한자</td>
 +
</tr>
 +
<tr >
 +
<td  align=center>
 +
지원시기</td>
 +
<td colspan="3" >
 +
각 학기초(3월, 9월 첫째 주)</td>
 +
</tr>
 +
<tr >
 +
<td  align=center>
 +
시험과목</td>
 +
<td >
 +
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)<br />
 +
제2 외국어 : 없음<br />
 +
한국어 : 외국인학생<br />
 +
종합시험 : 전공과목</td>
 +
<td >
 +
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)<br />
 +
제2 외국어 : 없음<br />
 +
한국어 : 외국인학생<br />
 +
종합시험 : 전공과목</td>
 +
<td >
 +
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)<br />
 +
제2 외국어 : 없음<br />
 +
한국어 : 외국인학생<br />
 +
종합시험 : 전공과목</td>
 +
</tr>
 +
<tr >
 +
<td align=center>
 +
배점 및</td>
 +
<td >
 +
외국어 시험 : 영어</td>
 +
<td >
 +
외국어 시험 : 영어</td>
 +
<td >
 +
외국어 시험 : 영어</td>
 +
</tr>
 +
<tr >
 +
<td  align=center rowspan="3" >
 +
합격기준</td>
 +
<td rowspan="3" >
 +
TEPS : 664점 이상<br />
 +
TOEFL (CBT, IBT) : 233/90점 이상<br />
 +
전공시험 : (100점 만점에 70점이상 합격)</td>
 +
<td rowspan="3" >
 +
TEPS : 664점 이상<br />
 +
TOEFL (CBT, IBT) : 233/90점 이상<br />
 +
전공시험 : (100점 만점에 70점이상 합격)</td>
 +
<td rowspan="3" >
 +
TEPS : 664점 이상<br />
 +
TOEFL (CBT, IBT) : 233/90점 이상<br />
 +
전공시험 : (100점 만점에 70점이상 합격)</td>
 +
</tr>
 +
</tr>
 +
<tr >
 +
</tr>
 +
<tr >
 +
</tr>
 +
<tr >
 +
<td  rowspan="6" align=center>
 +
외국어 성적</td>
 +
<td colspan="3" rowspan="6" >
 +
* 본교생에 한하여 학부, 대학원 입시 및 재학 중에 인정받거나 취득한 모든 성적 인정<br />
 +
* TEPS 정기시험 성적은 각 학기 논문제출자격시험 응시원서 접수기간 이전에 취득한 성적만 인정됨<br />
 +
* 외국인 학생중 영어가 모국어인 자는 반드시 한국어과목을 응시하여야 함-<br />
 +
&nbsp; 한국어시험은 한국어 능력시험, 한국어와 한국문화 과목 이수 중 택일<br />
 +
* 영어과목은 2006학년도 제1학기부터 자격인정제도로 대체하여 시행하고 있는바 대상자(기 합격처리인정을 받지 못한 자)는&nbsp;&nbsp;&nbsp; 반드시 학위논문심사서류 제출전(1학기는 4월 초, 2학기 10월초)까지 TEPS?TOEFL에 응시하여 기준점수 이상을 취득하기 바람.<br />
 +
(영어과목은 자격을 취득하는 것이므로, 응시원서를 제출하지 않음)</td>
 +
</tr>
-
* Course number: SPC-02.
+
</table>
-
Course title: Behavioral Neurophysiology
+
-
Lecturer: Lee, I
+
-
Overview: This course will target doctoral students interested in learning electrophysiological techniques for recording single units in freely moving animals.  Differential recording techniques and other basic physiological contents (e.g., local field potentials, evoked potentials, etc.) will be covered possibly with a laboratory component.  The course will require approximately 2-3 hours of lecture and possibly 1 hour of hands-on experiment in the lab.
+
-
* Course number: SC-03.  
+
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="display:none;font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999" id="showtable4">
-
Course title: Computational Neuroscience and Neuroinformatics
+
 
-
Lecturer: Kaiser, M
+
    <colgroup>
-
Overview: The course will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. It will also address the relation between network structure and function at different scales of the nervous system through mathematical analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing neuroscience data as well as mathematical approaches for representing neural systems. Complementary practical sessions will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and Matlab) and to carry out individual course projects.
+
<col span="2" />
-
<br><br>
+
<col />
-
<b>'Clinical Neuroscience & Computational Neuroanatomy' track에서 제공되는 교과목의 핵심내용</b>
+
<col />
 +
</colgroup>
 +
<tbody>
 +
<tr height="22">
 +
<td bgcolor="#E3E3E3" colspan="2"  align=center>
 +
<strong>구분</strong></td>
 +
<td bgcolor="#E3E3E3" align=center>
 +
<strong>석사과정</strong></td>
 +
<td bgcolor="#E3E3E3"  align=center>
 +
<strong>박사과정</strong></td>
 +
</tr>
 +
<tr height="57">
 +
<td colspan="2" height="204" rowspan="5" style="width: 360px; height: 204px;">
 +
<div align="center">논문제출자격</div></td>
 +
<td colspan="2" style="width: 625px;">
 +
1) 외국어시험 및 종합시험(전공시험)에 합격한 학생</td>
 +
</tr>
 +
<tr height="56">
 +
<td height="56" style="width: 311px; height: 56px;">
 +
2)교과학점 : 4개학기 이상 등록하고 24학점 이상 취득한 학생 (당 학기중에 취득 예정학점 포함)</td>
 +
<td style="width: 315px;">
 +
2)교과학점 : 4개학기 이상 등록하고 36학점 이상 취득한 학생 (당 학기중에 취득 예정학점 포함)</td>
 +
</tr>
 +
<tr height="22">
 +
<td height="22" style="width: 311px; height: 22px;">
 +
3)수료 후 4년이경과되지 않은 학생</td>
 +
<td style="width: 315px;">
 +
3)수료 후 6년이경과되지 않은 학생</td>
 +
</tr>
 +
<tr height="31">
 +
<td colspan="2" height="31" style="width: 625px; height: 31px;">
 +
* 군복무로 인한 기한 경과 시 증빙서류(주민등록초본등)를 제출할 것</td>
 +
</tr>
 +
<tr height="38">
 +
<td colspan="2" height="38" style="width: 625px; height: 38px;">
 +
4)논문제출기한 연장을 승인 받은 자</td>
 +
</tr>
 +
<tr height="38">
 +
<td rowspan="4" style="width: 180px; height: 38px;"> <p align="center">논문제출예정자 등록 및 논문심사료 납부 　 　 　 　 　 　 　 　 　 　 　 　 　 　 　 　</p>
 +
    </td>
 +
<td style="width: 180px;">
 +
<div align="center">제출서류</div></td>
 +
<td style="width: 311px;">
 +
석사학위 논문심사원 1부</td>
 +
<td style="width: 315px;"> 박사학위 논문심사요구서, 지도교수 추천서, 이력서, 논문심사위원추천서 　 　</td>
 +
</tr>
 +
 +
<tr height="22">
 +
<td height="22" style="width: 180px;">
 +
<div align="center">논문심사료</div></td>
 +
<td style="width: 311px;">
 +
100,000원</td>
 +
<td style="width: 315px;">
 +
300,000원</td>
 +
</tr>
 +
<tr height="22">
 +
<td style="width: 180px;"> <div align="center">논문심사료 납부 　 　 　 　 　 　 　 　 　</div></td>
 +
<td style="width: 311px;">
 +
각 학기초 정한 기간내 지정은행에논문심사료 납부후 영수필통지서를 제출서류와 함께 행정 실에 제출<br />
 +
<br />
 +
논문제출예정자가 소속대학 행정실 이나 SNU 포탈 서비스에서 고지서 발급후 지정은행에 납부<br />
 +
<br />
 +
논문심사대상자로 등록하여 납부한 논문심사료는 환불이 불가함.</td>
 +
<td style="width: 315px;">
 +
각 학기초 정한 기간내 지정은행에논문심사료 납부후 영수필통지서를 제출서류와 함께 행정 실에 제출<br />
 +
<br />
 +
논문제출예정자가 소속대학 행정실 이나 SNU 포탈 서비스에서 고지서 발급후 지정은행에 납부<br />
 +
<br />
 +
박사과정생의 경우 전학기에 논문심사기간 연장승인을 받은 자는 논문심사료 납부를 면제함<br />
 +
<br />
 +
논문심사대상자로 등록하여 납부한 논문심사료는 환불이 불가함.</td>
 +
</tr>
 +
 +
<tr height="22">
 +
<td style="width: 180px;">
 +
<div align="center">연구생 등록</div></td>
 +
<td style="width: 311px;"> 수료후 논문제출예정자는 당해학기연구생 등록을 필하여야함<br />
 +
        - 등록기간 : 연구생 등록기간 <br />
 +
            - 납부금액: 150,000원</td>
 +
<td style="width: 315px;"> 수료후 논문제출예정자는 당해학기연구생 등록을 필하여야함 <br />
 +
    - 등록기간 : 연구생 등록기간 <br />
 +
    - 납부금액: 150,000원</td>
 +
</tr>
 +
 +
<tr height="22">
 +
<td colspan="2" height="22" style="width: 360px; height: 22px;">
 +
<div align="center">논문심사일정</div></td>
 +
<td style="width: 311px;">
 +
각 학기별 논문심사 일정에따름.</td>
 +
<td style="width: 315px;">
 +
각 학기별 논문심사 일정에따름.</td>
 +
</tr>
 +
<tr height="76">
 +
<td colspan="2" height="76" style="width: 360px; height: 76px;">
 +
<div align="center">논문심사 합격기준</div></td>
 +
<td style="width: 311px;">
 +
논문성적 B이상(심사위원 2/3이상찬성), 구술고사 70점(100점 기준) 이상</td>
 +
<td style="width: 315px;">
 +
종심에서 심사위원 4/5이상의 찬성, 구술고사에서 평균 70점(100점 기준) 이상. 단, 박사 구술고사는 심사위원4/5이상이 70점 이상으로 평가</td>
 +
</tr>
 +
<tr height="22">
 +
<td height="351" rowspan="6" style="width: 180px; height: 351px;">
 +
<div align="center">
 +
  <p>보존용 논문 및 </p>
 +
  <p>논문 디스켓 제출</p>
 +
</div></td>
 +
<td style="width: 180px;">
 +
<div align="center">제출기간</div></td>
 +
<td style="width: 311px;">
 +
각 학기별 정한 기한내</td>
 +
<td style="width: 315px;">
 +
각 학기별 정한 기한내</td>
 +
</tr>
 +
<tr height="22">
 +
<td rowspan="5" valign="top" style="width: 180px; height: 22px;"> <p align="center">보존용 논문 및 </p>
 +
    <p align="center">논문 파일 </p>
 +
    <p align="center">(디스켓)</p>
 +
    <p align="center"> 제출 장소 　 　 　 　</p></td>
 +
<td height="22" colspan="2" style="width: 625px;">
 +
중앙도서관 4층 로비(전화880-5263)</td>
 +
</tr>
 +
<tr height="52">
 +
<td height="52" colspan="2" style="width: 625px;">
 +
※ 논문 파일은 온라인 제출 : 중앙도서관홈페이지(http://library.snu.ac.kr)&rarr;&quot;도서관서비스&quot; &rarr; &quot;학위논문 온라인 제출&quot;</td>
 +
</tr>
 +
<tr height="48">
 +
<td style="width: 311px;"> 은박하드카바 4부(1부는 심사위원 전원이 인준지에 날인) 중앙도서관 제출 　</td>
 +
<td style="width: 315px;"> 금박하드카바 4부(1부는 심사위원 전원이 인준지에 날인) 중앙도서관 제출 　</td>
 +
</tr>
 +
 +
<tr height="31">
 +
<td height="31" colspan="2" style="width: 625px;">
 +
(학위논문 원문제공에 대한 동의서는 인준지 실인 뒷장에 첨부할 것)</td>
 +
</tr>
 +
<tr height="48">
 +
<td colspan="2" style="width: 625px;"> <p>* 논문 인쇄요령 : 본교 학위수여규정제8조 및 논문심사계획 공문 참조</p>
 +
    <p> * 보존용 논문은 반드시 최종심사 통과된 논문과 제목 및 내용이 일치 하여야함. </p>
 +
    <p>* 학위논문심사에 합격(통과)되어 최종 인준된 보존용논문을 제출하여야만 논문심사가 종결되는 것이므로 제출 기간내에 반드시 제출하여야 하며, 미제출시는 학위수여대상에서 제외됨.</p></td>
 +
</tr>
 +
 +
<tr height="60">
 +
<td height="60" style="width: 180px; height: 60px;">
 +
<div align="center">논문제출기한 연장</div></td>
 +
<td colspan="3" style="width: 805px;">
 +
<div align="center">과정 수료후 논문제출기한의연장을 신청하는 경우 소정의 심사를 거쳐 2년의 범위내에서 연장 가능함.</div></td>
 +
</tr>
-
* Course number: CSP-01.
+
</table>
-
Course title: Neurobiology of brain disorders
+
-
Lecturer: Kwon, JS
+
-
Overview: 본 과정 수료 후에는 신경유전학, 행동과학, 뇌 영상학, 인지과학 등의 통합적 적용을 통해 정신현상의 원리에 대한 이해를 증진시킴. 이와 함께 정신 병리현상과 뇌질환의 기전에 대한 개념을 증진함으로써, 향후 독립적인 연구자로서 정신현상에 대한 연구를 수행함에 있어 적절한 도움을 제공할 수 있기를 기대함.
+
-
* Course number: CS-01.
+
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="display:none;font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999" id="showtable5">
-
Course title: Clinical neuroscience and cognitive neuropsychiatry
+
  <col width="218" />
-
Lecturer: Park, SH
+
  <col width="270" span="3" />
-
Overview: This course on the surface is primarily about psychosis, but a careful examination of psychosis will enable us to delve deeply into some of the fundamental questions about how the brain functions and malfunctions as well as addressing core questions about human nature.  Schizophrenia and bipolar disorder are devastating conditions, which affect about 2+% of the population worldwide. We will focus mostly on biological and cognitive aspects of these psychotic disorders with a special emphasis on cognitive neuroscience. We will also examine biological roots of aggression, social cognition, sex differences,and psychiatric genetics.  
+
  <tr>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>구분</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>박사과정</b></td>
 +
    <td bgcolor="#E3E3E3" scope="col" align=center><b>석·박사 통합과정</b></td>
 +
  </tr>
 +
  <tr height="95">
 +
    <td height="95" width="204">학위수여자격</td>
 +
    <td width="204">수료요건    및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사원을 제출하여 대학 장이 위촉한 학위논문 심사위원회에서 통과된 자</td>
 +
    <td width="204">수료요건    및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사요구서를 제출하여 대학장이 위촉한 학위논문 심사위원회에서 통과된 자</td>
 +
    <td width="204">수료요건    및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사요구서를 제출하여 대학장이 위촉한 학위논문 심사위원회에서 통과된 자</td>
 +
  </tr>
 +
  <tr height="171">
 +
    <td height="171" width="204">학위논문제출 허용기한</td>
 +
    <td width="204">과정    수료후 4년 이내(단, 군복 무 기간은 이에 산입하지 않음), 다만, 과정 수료자가 논문제출 기한의 연장을 신청하는 경우 에는 대학장이    대학원학사위원 회와 대학원위원회의 심의를 거쳐 2년의 범위 내에서 제출기 한을 연장할 수 있다.</td>
 +
    <td width="204">과정    수료후 6년 이내, 논문제출기한 연장 신청시 2년 이내 연장 가능</td>
 +
    <td width="204">과정    수료후 6년 이내</td>
 +
  </tr></table>
-
* Course number: CPS-01.
 
-
Course title: Molecular Neuroimaging Principles and Applications
 
-
Lecturer: Lee, JS
 
-
Overview: TMolecular imaging of the central nervous system is essential technology for better understanding the basic biology of brain function and the way in which various disease processes affect the brain. This course will survey the basic principles of molecular neuroimaing technologies, including radioisotope, optical, and magnetic resonance imaging. The current state and clinical applications of molecular neuroimaging will be also introduced.
 
-
* Course number: CS-02.
+
    </td></tr>
-
Course title: Neuroimage Processing
+
-
Lecturer: Lee, JS
+
-
Overview: Basics on neuroimage processing will be covered. The target audience is the 1styear PhD and masters degree students and researchers although mathematically and computationally sophisticated senior undergraduate students should be able to follow the course. The focus of the course is not on how to use available neuroimaging packages such as SPM but on the basic understanding of mathematical and statistical principles on various image processing algorithms. However, students are required to do homework using existing neuroimaging software packages. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: registration, segmentation, intensity normalization, image filtering and smoothing, shape and geometry modeling. Two lectures (90min each) per week plus one computer tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%), and oral presentation and class participation (20%).
+
-
* Course number: CS-03.
+
    <tr><td height=40>&nbsp;</td></tr>
-
Course title: Computational Methods in Neuroimage Analysis
+
    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Academic calender (2013)</span></td></tr>
-
Lecturer: Chung, MK
+
    <tr><td height=5>&nbsp;</td></tr>
-
Overview: Basics on various computational techniques will be covered. The target audience is the 1nd year PhD and master’s degree students. No knowledge in image analysis is required although the course “Neuroimage Processing” will help students in manipulating images. Various computational and numerical issues in neuroimage processing and analysis will be addressed. The focus of the course is on the algorithmic aspect of various computation intensive procedures. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: numerical techniques for ordinary and partial differential equations, finite element methods, spectral methods,optimization, least squares method, matrix algorithms, classification and clustering. Two lectures (90min each) per week plus one computer tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%), and oral presentation and class participation (20%).
+
    <tr><td style="color:#999999;font-size:13px">SNU's academic year begins at March and ends at the next February.<br>
 +
An academic year has two regular semesters of spring and fall which are 16 weeks long,<br>and two of six-weeks sessions during summer and winter breaks. </td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td>
 +
 
 +
<table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial,돋음; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <col width="72" />
 +
  <col width="175" />
 +
  <col width="456" />
 +
  <tr>
 +
    <td rowspan="5" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">2013<br />
 +
      January</td>
 +
    <td width="138">&nbsp;ㆍ2 (Wed)</td>
 +
    <td width="456">&nbsp;New year kick-off meeting</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ11 (Fri)</td>
 +
    <td width="456">&nbsp;Last day to withdraw from winter session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ14 (Mon) - 18 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for department transfer</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Tue)</td>
 +
    <td width="456">&nbsp;Winter session courses end</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Tue) - Feb 4 (Mon)</td>
 +
    <td width="456">&nbsp;Registration for spring semester courses</td>
 +
  </tr>
 +
 
 +
  <tr>
 +
    <td rowspan="8" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">February</td>
 +
    <td width="138">&nbsp;ㆍ1 (Fri) - 7 (Thu)</td>
 +
    <td width="456">&nbsp;Application period for double major/combined major</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ7 (Thu)</td>
 +
    <td width="456">&nbsp;Last day for faculty to submit winter session grades</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ9 (Sat) - 11 (Mon)</td>
 +
    <td width="456">&nbsp;Seol (public holidays)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ15 (Fri) - 21 (Thu)</td>
 +
    <td width="456">&nbsp;Application period for minor</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ18 (Mon) - 22 (Fri)</td>
 +
    <td width="456">&nbsp;Tuition payment period for spring semester</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ26 (Tue)</td>
 +
    <td width="456">&nbsp;Commencement</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ28 (Thu)</td>
 +
    <td width="456">&nbsp;Winter break ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ28 (Thu)</td>
 +
    <td width="456">&nbsp;2012 Academic year ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="7" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">March</td>
 +
    <td rowspan="2" width="138">&nbsp;ㆍ1 (Fri)</td>
 +
    <td width="456">&nbsp;2013 Academic Year begins, Independence Movement Day</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="456">&nbsp;&nbsp;<em>&nbsp;(national holiday)</em></td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="2" width="138">&nbsp;ㆍ4 (Mon)</td>
 +
    <td width="456">&nbsp;Spring semester classes begin, Matriculation ceremony</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="456">&nbsp;&nbsp;&nbsp;<em> for undergraduates</em></td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ2 (Mon) - 8 (Fri)</td>
 +
    <td width="456">&nbsp;Course add and drop period</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ18 (Mon) - 29 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for faculty to open fall semester courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ27 (Wed)</td>
 +
    <td width="456">&nbsp;First quarter of spring semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="5" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">April</td>
 +
    <td rowspan="2" width="138">&nbsp;ㆍ1 (Mon) - 5 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for faculty to open summer</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="456">&nbsp;&nbsp;<em>&nbsp;&nbsp;session courses</em></td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ22 (Mon)</td>
 +
    <td width="456">&nbsp;Second quarter of spring semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ22 (Mon)</td>
 +
    <td width="456">&nbsp;Last day to withdraw from courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ25 (Thu) - 26 (Fri)</td>
 +
    <td width="456">&nbsp;Reading period (no class)</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="4" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">May</td>
 +
    <td width="138">&nbsp;ㆍ9 (Thu) - 15 (Wed)</td>
 +
    <td width="456">&nbsp; Registration for summer session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ17 (Fri)</td>
 +
    <td width="456">&nbsp;Buddha's Birthday (public holiday)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ21 (Tue)</td>
 +
    <td width="456">&nbsp;Third quarter of spring semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Wed) - June 14 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for fall semester scholarships</td>
 +
  </tr>
 +
    <tr>
 +
    <td rowspan="7" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">June</td>
 +
    <td width="138">&nbsp;ㆍ6 (Thu)</td>
 +
    <td width="456">&nbsp;Memorial Day (public holiday)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ14 (Fri)</td>
 +
    <td width="456">&nbsp;Spring semester classes end</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ15 (Sat) - 21 (Fri)</td>
 +
    <td width="456">&nbsp;Make-up classes</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ17 (Mon) - August 28 (Wed)</td>
 +
    <td width="456">&nbsp;Application period for re-admission / re-registration</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ22 (Sat)</td>
 +
    <td width="456">&nbsp;Summer break begins</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ24 (Mon)</td>
 +
    <td width="456">&nbsp;Summer session classes begin</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ28 (Fri)</td>
 +
    <td width="456">&nbsp;Last day for faculty to submit spring semester grades</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">July</td>
 +
    <td width="138">&nbsp;ㆍ12 (Fri)</td>
 +
    <td width="456">&nbsp;Last day to withdraw from summer session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="9" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">August</td>
 +
    <td width="138">&nbsp;ㆍ1 (Thu) - 7&nbsp;(Wed)</td>
 +
    <td width="456">&nbsp;Registration for fall semester courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ1 (Thu) - 7&nbsp;(Wed)</td>
 +
    <td width="456">&nbsp;Application period for double major/combined major</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ2 (Fri)</td>
 +
    <td width="456">&nbsp;Summer session classes end</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ9 (Fri)</td>
 +
    <td width="456">&nbsp;Last day for faculty to submit summer session grades</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ15 (Thu)</td>
 +
    <td width="456">&nbsp;Independence Day (national holiday)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ16 (Fri) - 22&nbsp;(Thu)</td>
 +
    <td width="456">&nbsp;Application period for minor / combined minor / student-designed major</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ23 (Fri) - 29 (Thu)</td>
 +
    <td width="456">&nbsp;Tuition payment period for fall semester</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Thu)</td>
 +
    <td width="456">&nbsp;Commencement</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ31 (Sat)</td>
 +
    <td width="456">&nbsp;Summer break ends, spring semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="8" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">September</td>
 +
    <td width="138">&nbsp;ㆍ1 (Sun)</td>
 +
    <td width="456">&nbsp;Fall semester classes begin</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ2 (Mon)</td>
 +
    <td width="456">&nbsp;Fall semester classes begin</td>
 +
  </tr>
 +
 
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ2 (Mon) - 6 (Fri)</td>
 +
    <td width="456">&nbsp;Course add and drop period</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ9 (Mon) - 13&nbsp;(Fri)</td>
 +
    <td width="456">&nbsp;Survey on new winter session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ9 (Mon) - 25&nbsp;(Wed)</td>
 +
    <td width="456">&nbsp;Application period for faculty to open next spring courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ18 (Wed) - 20&nbsp;(Fri)</td>
 +
    <td width="456">&nbsp;Chuseok(public holidays)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ27 (Fri)</td>
 +
    <td width="456">&nbsp;First quarter of fall semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ30 (Mon) - Oct 7 (Mon)</td>
 +
    <td width="456">&nbsp;Application period for faculty to open summer session perio)</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="4" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">October</td>
 +
    <td width="138">&nbsp;ㆍ3 (Thu)</td>
 +
    <td width="456">&nbsp;Foundation Day (national holiday)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ15 (Tue)</td>
 +
    <td width="456">&nbsp;SNU anniversary (no class)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Tue)</td>
 +
    <td width="456">&nbsp;Second quarter of fall semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ29 (Tue)</td>
 +
    <td width="456">&nbsp;Last day to withdraw from fall semester courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="3" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">November</td>
 +
    <td width="138">&nbsp;ㆍ7 (Thu) - 13 (Wed)</td>
 +
    <td width="456">&nbsp;Registration for winter session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ21 (Thu)</td>
 +
    <td width="456">&nbsp;Third quarter of fall semester ends</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ26 (Tue) - Dec 13 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for spring term scholarships</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="7" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">December</td>
 +
    <td width="138">&nbsp;ㆍ13 (Fri)</td>
 +
    <td width="456">&nbsp;Fall semester courses end</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ14 (Sat) - 20 (Fri)</td>
 +
    <td width="456">&nbsp;Make-up classes</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ16 (Mon) - Feb 25(Tue)  2014</td>
 +
    <td width="456">&nbsp;Application period for re-admission/re-registration</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ21 (Sat)</td>
 +
    <td width="456">&nbsp;Winter break begins</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ23 (Mon)</td>
 +
    <td width="456">&nbsp;Winter session classes begin</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ25 (Wed)</td>
 +
    <td width="456">&nbsp;Christmas (public holiday)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ27 (Fri)</td>
 +
    <td width="456">&nbsp;Last day for faculty to submit fall semester grades</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="6" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">2014<br />
 +
      January</td>
 +
    <td width="138">&nbsp;ㆍ10 (Fri)</td>
 +
    <td width="456">&nbsp;Last day to withdraw from winter session courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ13 (Mon) - 17 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for department transfer</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ23 (Thu) - 29 &nbsp;(Wed)</td>
 +
    <td width="456">&nbsp;Registration for spring semester courses</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ24 (Fri)</td>
 +
    <td width="456">&nbsp;Winter session courses end</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ30 (Thu) - Feb 1 (Sat)</td>
 +
    <td width="456">&nbsp;Seol (public holidays)</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ31 (Fri)</td>
 +
    <td width="456">&nbsp;Last day for faculty to submit winter session grades</td>
 +
  </tr>
 +
  <tr>
 +
    <td rowspan="5" width="72" valign=top style="font-weight:bold;background-color:#E3E3E3">February</td>
 +
    <td width="138">&nbsp;ㆍ3 (Mon) - 7 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for double major/combined major</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ17 (Mon) - 21 (Fri)</td>
 +
    <td width="456">&nbsp;Application period for minor / combined minor / student designed major</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ17 (Mon) - 21&nbsp;(Fri)</td>
 +
    <td width="456">&nbsp;Tuition payment period for spring semester</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ26 (Wed)</td>
 +
    <td width="456">&nbsp;Commencement</td>
 +
  </tr>
 +
  <tr>
 +
    <td width="138">&nbsp;ㆍ28 (Thu)</td>
 +
    <td width="456">&nbsp;Winter break ends, 2013 Academic Year ends</td>
 +
  </tr>
 +
  </table>
 +
  </td></tr>
 +
  <tr><td height=20>&nbsp;</td></tr>
 +
  </table>
 +
</td>
 +
</tr>
 +
</table>
 +
</html>

Current revision as of 05:15, 14 May 2013

 
 
 
Academic & Research Advisory Committee (ARAC) : Consisting of 1 intra-unit, 1-inter unit, and 1 advisor
English as an Official Language : For better communications for academic as well as social purposes.
 
TRACK COURSE # CRN COURSE TITLE LECTURER SEMESTER
(PERIOD)
CORE CC-01 339.501 Principles of Brain and Cognitive Sciences Team Teaching
1(1y)
  CC-02 339.502 Methods of Brain and Cognitive Sciences Team Teaching
2(1y)
MC M-01 339.611 Molecular and Cellular Neurobiology Collingridge, GL
1(2y)
  M-02 339.612 Structure and Fuction of Synapses Kaang, BK
1(2y)
  M-03 339.613 Molecular Basis of Mind and Behavior Zhuo, M
2(1y)
  MS-01 339.711 Excitatory Synapse and Synaptic Plasticity Collingridge, GL
2(1y)
  MS-02 339.712 Neural Plasticity in Cerebellum Kim, SJ
1(1y)
  MSC-01 339.713 Ubiquitous Neural Plasticity and Information Storage Kim, SJ
2(1y)
SB SC-01 339.621 Clinical Neuscience and Cognitive Neuropsychiatry Park, Sohee
1(1y)
  SC-02 339.622 Neural Mechanisms of Episodic Memory Lee, I
2(1y)
  SC-03 339.623 Computational Neuroscience and Neuroinformatics Kaiser, M
1(1y)
  SM-01 339.624 Experimental Methods in Visual Neuroscience Lee, SH
2(2y)
  SMC-01 339.721 Classics in Vision and Visual Cognition Blake, R
1(1y)
  SMC-02 339.722 Place Signals in the Brain Lee, I
2(2y)
  SMC-03 339.723 Seminars in Visual Neuroscience Lee, SH
2(2y)
CCN CS-01 339.631 Neurobiology of Brain Disorders Kwon, JS
1(1y)
  CS-02 339.632 Neruroimagae Processing Chung, MK
2(2y)
  CS-03 339.633 Computational Methods in Neuroimage Analysis Chung, MK
2(2y)
  CSM-01 339.634 Statistical methods in Neuroimage Analysis Chung, MK
2(2y)
  CSM-02 339.731 Molecular Neuroimaging Princeciples and Applications Lee, JS
1(2y)
  CSM-03 339.732 Principles of Tomographic Neuroimages Lee, JS
1(2y)
D   339.803 Reading and Research Each Faculty
each semester
 
COURSE DESCRIPTION
 
Principles of Brain and Cognitive Sciences(339.501)
This is a graduate class, suitable for 1st-year graduate students in Department of Brain & Cognitive Sciences (BCS) or graduate/advanced undergraduate students in other programs related to BCS. Students will be introduced to basic research principles of BCS by learning fundamental theories and major research topics in modern-day brain and cognitive neurosciences. Every and each student in the Department of BCS is required to take both this course and < Methods in Brain and Cognitive Sciences >, which is provided in conjunction with this course.
 
Methods in Brain and Cognitive Sciences(339.502)
Students will be introduced to basic research methods of BCS by learning experimental designs, measurements and analysis of neural activity used in modern-day brain and cognitive neurosciences. Every and each student in the department of BCS is required to take both this course and
 
Molecular and Cellular Neurobiology(339.611)
Research of brain, which once had been considered not to be related to meterials at all, has reached the level at which the complex molecular mechanisms of synaptic functions are elucidated. This course covers what kinds of molecule are involved in information delivery through the synapses, affecting synaptic transmission and plasticity based on scientific findings for past few decades. In addition, this course also includes detailed molecular mechanisms underlying synaptic plasticity in gigantic neuronal system of Aplysia.
 
Structure and Function of Synapses(339.612)
Synapse is the very connection between neurons enabling our brain to function. There are largely two types of synapse, one is chemical synapse and the other is electrical synapse. Chemical synapse uses chemicals called neurotransmitter as a means of information delivery and in electrical synapse, electrical signal itself is transmitted through the special channel called gap junction by which information between neurons is delivered. Electrical synapse and chemical synapse have many differences in their structure and function. Moreover, a variety of receptors and their ligands are reported to exist in chemical synapses. This course will help you to build up essential knowledges about the structure and function of synapses in general.
 
Molecular Basis of Mind and Behavior(339.613)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Excitatory Synapse and Synaptic Plasticity(339.711)
Part 1 (4 weeks) Foundation of Neuroscience: History of Neuroscience, Neuroanatomy, Gene expression in the brain, Molecular Pharamcology & Neuronal signalling. Part 2 (4 weeks): Long-term synaptic plasticity (LTP & LTD) Excitatory synapses, NMDA receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotropic glutamate receptors and Synaptic Plasticity, Muscarinic glutamate receptors and Synaptic Plasticity. Part 3 (3 weeks): New insight into molecular and cellular model of learning and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity, Future Direction of Neuroscience: Drug development for Alzheimer's disease. Part 4 (5 weeks): Library Project Student will be informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).
 
Neural plasticity in cerebellum(339.712)
Neural plasticity is a phenomenon that the efficacy of synaptic connection is changing in response to neuronal activity. Cerebellum correct motor errors based on neural plasticity through experience. This cerebellar based learning process enables us to coordinated complex motor behavior and eventually we can remember the learned motor behavior. Therefore, cerebellum is leading model system to study learning and memory. This lecture covers material to discuss engram from molecule to learning and memory behavior.
 
Ubiquitous Neural Plasticity and Information(339.713)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Sensory Processes and Perception(339.621)
This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the environment. A recurring theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations and exercises.
 
Neural Mechanisms of Episodic Memory(339.622)
This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the environment. Perception is an area of psychology where the links to neuroscience are among the strongest. Thus, a recurring theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations and exercises.
 
Ubiquitous Neural Plasticity and Information(339.713)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Computational Neuroscience and Neuroinformatics(339.623)
The course will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. It will also address the relation between network structure and function at different scales of the nervous system through mathematical analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing neuroscience data as well as mathematical approaches for representing neural systems. Complementary practical sessions will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and Matlab) and to carry out individual course projects.
 
Experimental Methods in Visual Neuroscience(339.624)
Episodic memory enables us to remember past events vividly. The role of the hippocampus and associated areas in the brain in remembering episodic events has been studied for almost 50 years in various forms. The objective of this course is to provide students an opportunity to learn how a network of brain areas works together to realize episodic memory. The course will introduce the literature on amnesic patients and animal studies related to the topic. In tandem with critical reading of the literature, anatomical regions involved in episodic memory will be introduced. The course targets doctoral students who finished their basic course requirements such as the Introduction to Brain and Behavior.
 
Classics in Vision and Visual Cognition(339.721)
This is a 13-week introductory course in Cognitive Neuroscience suitable for graduate or advanced undergraduate students who want to learn about recent advances in cognitive neuroscience. The major emphasis of this class is on the relationship among psychological circumstances, cognitive computations, and neuronal/cortical activity while humans or animals perform various cognitive tasks, including sensation, perception, memory, learning, decision making, social interaction and affective responses. The course will also cover recent advances in neuroimaging of human/animal brains with various techniques including functional MRI, diffusion MRI, Optical imaging, EEG, MEG.
 
Place Signals in the Brain(339.722)
This course would survey classic papers in different areas of visual science, the aim being to evaluate how those areas have evolved since publication of those papers. The following areas of visual science could be covered: visual neurophysiology, brain imaging, color vision, binocular vision, spatial vision, motion perception, attention, visual memory and visual cognition. Throughout the course, individual participants would be responsible for researching a particular area, identifying exemplary contemporary papers and leading a classroom discussion the current status of the area. This course would provide an important foundation for students engaged in work in cognitive neuroscience, and the course could be modified to include topics other than vision if the faculty deemed that important. The course would assume a seminar format.
 
Seminars in Visual Neuroscience(339.723)
This course will target doctoral students interested in learning electrophysiological techniques for recording single units in freely moving animals. Differential recording techniques and other basic physiological contents (e.g., local field potentials, evoked potentials, etc.) will be covered possibly with a laboratory component. The course will require approximately 2-3 hours of lecture and possibly 1 hour of hands-on experiment in the lab.
 
Neurobiology of Brain Disorders(339.631)
This course on the surface is primarily about psychosis, but a careful examination of psychosis will enable us to delve deeply into some of the fundamental questions about how the brain functions and malfunctions as well as addressing core questions about human nature. Schizophrenia and bipolar disorder are devastating conditions, which affect about 2+% of the population worldwide. We will focus mostly on biological and cognitive aspects of these psychotic disorders with a special emphasis on cognitive neuroscience. We will also examine biological roots of aggression, social cognition, sex differences,and psychiatric genetics.
 
Neuroimage Processing(339.632)
Basics on neuroimage processing will be covered. The target audience is the 1styear PhD and masters degree students and researchers although mathematically and computationally sophisticated senior undergraduate students should be able to follow the course. The focus of the course is not on how to use available neuroimaging packages such as SPM but on the basic understanding of mathematical and statistical principles on various image processing algorithms. However, students are required to do homework using existing neuroimaging software packages. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: registration, segmentation, intensity normalization, image filtering and smoothing, shape and geometry modeling.
 
Computational Methods in Neuroimage Analysis(339.633)
Basics on various computational techniques will be covered. The target audience is the 1nd year PhD and master's degree students. No knowledge in image analysis is required although the course "Neuroimage Processing" will help students in manipulating images. Various computational and numerical issues in neuroimage processing and analysis will be addressed. The focus of the course is on the algorithmic aspect of various computation intensive procedures. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: numerical techniques for ordinary and partial differential equations, finite element methods, spectral methods,optimization, least squares method, matrix algorithms, classification and clustering. Two lectures (90min each) per week plus one computer tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course.
 
Statistical Methods in Neuroimage Analysis(339.634)
Basics on various statistical techniques will be covered. The target audience is the 1st year PhD and master's degree students. No knowledge in image analysis is required although the courses "Neuroimage Processing" and "Computational Methods in Neuroimage Analysis" will help understanding course materials. All the statistical techniques used in the current neuroimaging research will be covered. The focus of the course is on the learning modern statistical methodology. R and MATLAB will be used as a language of instruction. The following topics will be covered: general linear model, likelihood estimation methods, nonparametric test procedures, multiple comparisons, false discovery rates, random field theory, permutation tests, logistic regression, longitudinal growth model, mixed effect model, discriminant analysis, multivariate test procedures. Two lectures (90min each) per week plus one tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%), oral presentation and class participation (20%).
 
Molecular Neuroimageing Principles and Applications(339.731)
Molecular imaging of the central nervous system is essential technology for better understanding the basic biology of brain function and the way in which various disease processes affect the brain. This course will survey the basic principles of molecular neuroimaing technologies, including radioisotope, optical, and magnetic resonance imaging. The current state and clinical applications of molecular neuroimaging will be also introduced.
 
Principles of Tomographic Neuroimages(339.732)
Tomographic neuroimaging technologies provide the anatomical, functional and biochemical information of brain and play important roles in the brain and cognitive sciences. This course surveys the fundamental physical, chemical and biological principles, hardware and software systems, image acquisition technologies, and current trends in the representative tomographic neuroimaging technologies including magnetic resonance imaging (MRI), X-ray CT, positron emission tomography (PET) and single photon emission tomography (SPECT). In addition, the basic principles and 3D mapping methods for EEG and MEG will be introduced.
 
Reading and Research(339.803)
Reading and Research.
 
 
Courses (FALL 12)
 
CRN CR COURSE TITLE INSTRUCTOR DAY / TIME LOCATION
339.501 3 Principles of Brain and Cognitive Sciences Lee, Inah Wed(8,9,10) 024-104
*339.611 3 Molecular and Cellular Neurobiology Kaang, Bong Kiun Thu(8,9,10) 203-104A
*339.621 3 Sensory Processes and Perception Kwon, Jun Soo Wed(4,5,6) 203-104B
*339.631 3 Neurobiology of Brain Disorders Lee, Sang-Hun Thu(5,6,7) 220-650C
339.711 3 Excitatory Synapse and Synaptic Plasticity Graham Leon Collingridge Tue(5,6,7) 203-104B
339.723 3 Seminars in Visual Neuroscience Lee, Sang-Hun Thu(2,3,4) 220-650C
339.731 3 Molecular Neuroimageing Principles and Applications Lee, Jae Sung Wed(5,6,7)  
 
Courses (Spring 13)
 
CRN CR COURSE TITLE INSTRUCTOR DAY / TIME LOCATION
*339.611 3 Molecular and Cellular Neurobiology Kaang, Bong Kiun Thu(9,10,11) 203-104B
*339.612 3 Structure and Function of Synapses Lee, Sang-Hun Wed(10,11,12) 220-650C
*339.621 3 Sensory Processes and Perception Kwon, Jun Soo Wed(4,5,6) 203-104B
339.624 3 Experimental Methods in Visual Neuroscience Lee, Sang-Hun Tue(5,6,7,8) 220-650C
*339.632 3 Neuroimage Processing Lee, Jae Sung Tue(8,9,10,11)  
339.711 3 Excitatory Synapse and Synaptic Plasticity Graham Leon Collingridge Tue(5,6,7) 203-104B
339.712 3 Neural plasticity in cerebellum Kim, Sang Jeong Wed(1,2,3)  

 * Seminar
  • If you are a first year master's program student, you must register for the Core Course 01, Principles of Brain and Cognitive Sciences and one 3 credit major track course. You can take up to 12 credits a semester.
  • If you are a first year Ph.D. program student, you also must register for the Core Course 01, Principles of Brain and Cognitive Sciences and one 3 credit major track course. You can take up to 12 credits a semester.

  * Click here to see the list of subjects is suitable for the prerequisite subject.
 
Graduation requirements
 


구분 석사과정 박사과정 석·박사 통합과정
등록회수 4회 이상 ~ 8회 이하 4회 이상 ~ 12회 이하 6회 이상 ~ 16회 이하
취득학점 24학점 이상 36학점 이상 60학점 이상
- 전공필수 교과목 반드시 이수 - 전공필수 교과목 반드시 이수 - 전공필수 교과목 반드시 이수
성적 전 교과목 성적 평점평균 3.0 이상 전 교과목 성적 평점평균 3.0 이상 전 교과목 성적 평점평균 3.0 이상
　 - 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다. - 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다. - 전공필수 교과목 (뇌인지과학의 원리, 뇌인지과학의 방법)을 반드시 이수해야 하며, 졸업을 위해 일정기준 이상의 성적을 거두어야한다.
　 ※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한 보고를 행정실에 제출 ※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한 보고를 행정실에 제출 ※ 지도 교수님과 다른 한분의 교수님을 포함한 ARAC (Academic and Research Advisory Committee)을 필수적 으로 구성 하여야 하며, 한 학기에 1번씩 ARAC 미팅에 대한 보고를 행정실에 제출
　 ※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함. ※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함. ※ 수료예정자는 당해 학기 수업주수 1/4선 이내에 지도 교수님과 졸업 및 논문제출에 대하여 면담 해야함.
 
Academic calender (2013)
 
SNU's academic year begins at March and ends at the next February.
An academic year has two regular semesters of spring and fall which are 16 weeks long,
and two of six-weeks sessions during summer and winter breaks.
 
2013
January		  ㆍ2 (Wed)  New year kick-off meeting
 ㆍ11 (Fri)  Last day to withdraw from winter session courses
 ㆍ14 (Mon) - 18 (Fri)  Application period for department transfer
 ㆍ29 (Tue)  Winter session courses end
 ㆍ29 (Tue) - Feb 4 (Mon)  Registration for spring semester courses
February  ㆍ1 (Fri) - 7 (Thu)  Application period for double major/combined major
 ㆍ7 (Thu)  Last day for faculty to submit winter session grades
 ㆍ9 (Sat) - 11 (Mon)  Seol (public holidays)
 ㆍ15 (Fri) - 21 (Thu)  Application period for minor
 ㆍ18 (Mon) - 22 (Fri)  Tuition payment period for spring semester
 ㆍ26 (Tue)  Commencement
 ㆍ28 (Thu)  Winter break ends
 ㆍ28 (Thu)  2012 Academic year ends
March  ㆍ1 (Fri)  2013 Academic Year begins, Independence Movement Day
   (national holiday)
 ㆍ4 (Mon)  Spring semester classes begin, Matriculation ceremony
    for undergraduates
 ㆍ2 (Mon) - 8 (Fri)  Course add and drop period
 ㆍ18 (Mon) - 29 (Fri)  Application period for faculty to open fall semester courses
 ㆍ27 (Wed)  First quarter of spring semester ends
April  ㆍ1 (Mon) - 5 (Fri)  Application period for faculty to open summer
    session courses
 ㆍ22 (Mon)  Second quarter of spring semester ends
 ㆍ22 (Mon)  Last day to withdraw from courses
 ㆍ25 (Thu) - 26 (Fri)  Reading period (no class)
May  ㆍ9 (Thu) - 15 (Wed)   Registration for summer session courses
 ㆍ17 (Fri)  Buddha's Birthday (public holiday)
 ㆍ21 (Tue)  Third quarter of spring semester ends
 ㆍ29 (Wed) - June 14 (Fri)  Application period for fall semester scholarships
June  ㆍ6 (Thu)  Memorial Day (public holiday)
 ㆍ14 (Fri)  Spring semester classes end
 ㆍ15 (Sat) - 21 (Fri)  Make-up classes
 ㆍ17 (Mon) - August 28 (Wed)  Application period for re-admission / re-registration
 ㆍ22 (Sat)  Summer break begins
 ㆍ24 (Mon)  Summer session classes begin
 ㆍ28 (Fri)  Last day for faculty to submit spring semester grades
July  ㆍ12 (Fri)  Last day to withdraw from summer session courses
August  ㆍ1 (Thu) - 7 (Wed)  Registration for fall semester courses
 ㆍ1 (Thu) - 7 (Wed)  Application period for double major/combined major
 ㆍ2 (Fri)  Summer session classes end
 ㆍ9 (Fri)  Last day for faculty to submit summer session grades
 ㆍ15 (Thu)  Independence Day (national holiday)
 ㆍ16 (Fri) - 22 (Thu)  Application period for minor / combined minor / student-designed major
 ㆍ23 (Fri) - 29 (Thu)  Tuition payment period for fall semester
 ㆍ29 (Thu)  Commencement
 ㆍ31 (Sat)  Summer break ends, spring semester ends
September  ㆍ1 (Sun)  Fall semester classes begin
 ㆍ2 (Mon)  Fall semester classes begin
 ㆍ2 (Mon) - 6 (Fri)  Course add and drop period
 ㆍ9 (Mon) - 13 (Fri)  Survey on new winter session courses
 ㆍ9 (Mon) - 25 (Wed)  Application period for faculty to open next spring courses
 ㆍ18 (Wed) - 20 (Fri)  Chuseok(public holidays)
 ㆍ27 (Fri)  First quarter of fall semester ends
 ㆍ30 (Mon) - Oct 7 (Mon)  Application period for faculty to open summer session perio)
October  ㆍ3 (Thu)  Foundation Day (national holiday)
 ㆍ15 (Tue)  SNU anniversary (no class)
 ㆍ29 (Tue)  Second quarter of fall semester ends
 ㆍ29 (Tue)  Last day to withdraw from fall semester courses
November  ㆍ7 (Thu) - 13 (Wed)  Registration for winter session courses
 ㆍ21 (Thu)  Third quarter of fall semester ends
 ㆍ26 (Tue) - Dec 13 (Fri)  Application period for spring term scholarships
December  ㆍ13 (Fri)  Fall semester courses end
 ㆍ14 (Sat) - 20 (Fri)  Make-up classes
 ㆍ16 (Mon) - Feb 25(Tue) 2014  Application period for re-admission/re-registration
 ㆍ21 (Sat)  Winter break begins
 ㆍ23 (Mon)  Winter session classes begin
 ㆍ25 (Wed)  Christmas (public holiday)
 ㆍ27 (Fri)  Last day for faculty to submit fall semester grades
2014
January		  ㆍ10 (Fri)  Last day to withdraw from winter session courses
 ㆍ13 (Mon) - 17 (Fri)  Application period for department transfer
 ㆍ23 (Thu) - 29  (Wed)  Registration for spring semester courses
 ㆍ24 (Fri)  Winter session courses end
 ㆍ30 (Thu) - Feb 1 (Sat)  Seol (public holidays)
 ㆍ31 (Fri)  Last day for faculty to submit winter session grades
February  ㆍ3 (Mon) - 7 (Fri)  Application period for double major/combined major
 ㆍ17 (Mon) - 21 (Fri)  Application period for minor / combined minor / student designed major
 ㆍ17 (Mon) - 21 (Fri)  Tuition payment period for spring semester
 ㆍ26 (Wed)  Commencement
 ㆍ28 (Thu)  Winter break ends, 2013 Academic Year ends
 

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