and one 3 credit major track course. You can take up to 12 credits a semester.
and one 3 credit major track course. You can take up to 12 credits a semester.
</UL>
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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.
339.611 : 분자 및 세포 신경생물학
(부제 : 분자인지과학 세미나 1)
339.612 : 시냅스의 구조와 가능
(부제 : 분자인지과학 세미나 2)
339.621 : 임상신경과학 및 인지 신경정신과학
339.631 : 뇌질환의 신경생물학
(부제 : 정신병리과학 세미나)
* 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.
* 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).
* Major 및 Minor 구분없이
각 유닛에서 개설한 교과목을 전공선택 과목으로 수강 할수있음.
박사과정-36학점
석박통합과정-60학점
■ 유의사항
※ 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)
※ 학부 교과목중 교양과목은 일체 학점인정 불가하니 유의하기 바람.
구분
석사과정
박사과정
석·박사 통합과정
응시자격
2개 학기 이상 등록하고 9학점
이상 취득한 자
2개 학기 이상 등록하고 9학점
이상 취득한 자
5개 학기 이상 등록하고 36학점 이상 취득한자
지원시기
각 학기초(3월, 9월 첫째 주)
시험과목
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)
제2 외국어 : 없음
한국어 : 외국인학생
종합시험 : 전공과목
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)
제2 외국어 : 없음
한국어 : 외국인학생
종합시험 : 전공과목
외국어 시험 : 영어 (TEPS 정기시험 또는 TOEFL (CBT, IBT) 성적으로 대체)
제2 외국어 : 없음
한국어 : 외국인학생
종합시험 : 전공과목
배점 및
외국어 시험 : 영어
외국어 시험 : 영어
외국어 시험 : 영어
합격기준
TEPS : 664점 이상
TOEFL (CBT, IBT) : 233/90점 이상
전공시험 : (100점 만점에 70점이상 합격)
TEPS : 664점 이상
TOEFL (CBT, IBT) : 233/90점 이상
전공시험 : (100점 만점에 70점이상 합격)
TEPS : 664점 이상
TOEFL (CBT, IBT) : 233/90점 이상
전공시험 : (100점 만점에 70점이상 합격)
외국어 성적
* 본교생에 한하여 학부, 대학원 입시 및 재학 중에 인정받거나 취득한 모든 성적 인정
* TEPS 정기시험 성적은 각 학기 논문제출자격시험 응시원서 접수기간 이전에 취득한 성적만 인정됨
* 외국인 학생중 영어가 모국어인 자는 반드시 한국어과목을 응시하여야 함-
한국어시험은 한국어 능력시험, 한국어와 한국문화 과목 이수 중 택일
* 영어과목은 2006학년도 제1학기부터 자격인정제도로 대체하여 시행하고 있는바 대상자(기 합격처리인정을 받지 못한 자)는 반드시 학위논문심사서류 제출전(1학기는 4월 초, 2학기 10월초)까지 TEPS?TOEFL에 응시하여 기준점수 이상을 취득하기 바람.
(영어과목은 자격을 취득하는 것이므로, 응시원서를 제출하지 않음)
구분
석사과정
박사과정
논문제출자격
1) 외국어시험 및 종합시험(전공시험)에 합격한 학생
2)교과학점 : 4개학기 이상 등록하고 24학점 이상 취득한 학생 (당 학기중에 취득 예정학점 포함)
2)교과학점 : 4개학기 이상 등록하고 36학점 이상 취득한 학생 (당 학기중에 취득 예정학점 포함)
3)수료 후 4년이경과되지 않은 학생
3)수료 후 6년이경과되지 않은 학생
* 군복무로 인한 기한 경과 시 증빙서류(주민등록초본등)를 제출할 것
4)논문제출기한 연장을 승인 받은 자
논문제출예정자 등록 및 논문심사료 납부
제출서류
석사학위 논문심사원 1부
박사학위 논문심사요구서, 지도교수 추천서, 이력서, 논문심사위원추천서
논문심사료
100,000원
300,000원
논문심사료 납부
각 학기초 정한 기간내 지정은행에논문심사료 납부후 영수필통지서를 제출서류와 함께 행정 실에 제출
종심에서 심사위원 4/5이상의 찬성, 구술고사에서 평균 70점(100점 기준) 이상. 단, 박사 구술고사는 심사위원4/5이상이 70점 이상으로 평가
보존용 논문 및
논문 디스켓 제출
제출기간
각 학기별 정한 기한내
각 학기별 정한 기한내
보존용 논문 및
논문 파일
(디스켓)
제출 장소
중앙도서관 4층 로비(전화880-5263)
※ 논문 파일은 온라인 제출 : 중앙도서관홈페이지(http://library.snu.ac.kr)→"도서관서비스" → "학위논문 온라인 제출"
은박하드카바 4부(1부는 심사위원 전원이 인준지에 날인) 중앙도서관 제출
금박하드카바 4부(1부는 심사위원 전원이 인준지에 날인) 중앙도서관 제출
(학위논문 원문제공에 대한 동의서는 인준지 실인 뒷장에 첨부할 것)
* 논문 인쇄요령 : 본교 학위수여규정제8조 및 논문심사계획 공문 참조
* 보존용 논문은 반드시 최종심사 통과된 논문과 제목 및 내용이 일치 하여야함.
* 학위논문심사에 합격(통과)되어 최종 인준된 보존용논문을 제출하여야만 논문심사가 종결되는 것이므로 제출 기간내에 반드시 제출하여야 하며, 미제출시는 학위수여대상에서 제외됨.
논문제출기한 연장
과정 수료후 논문제출기한의연장을 신청하는 경우 소정의 심사를 거쳐 2년의 범위내에서 연장 가능함.
구분
석사과정
박사과정
석·박사 통합과정
학위수여자격
수료요건 및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사원을 제출하여 대학 장이 위촉한 학위논문 심사위원회에서 통과된 자
수료요건 및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사요구서를 제출하여 대학장이 위촉한 학위논문 심사위원회에서 통과된 자
수료요건 및 논문제출 외국어 시험 및 종합시험에 합격한 자로 논문심사요구서를 제출하여 대학장이 위촉한 학위논문 심사위원회에서 통과된 자
학위논문제출 허용기한
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.
과정 수료후 6년 이내, 논문제출기한 연장 신청시 2년 이내 연장 가능
과정 수료후 6년 이내
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
