computer science dept. kaist education
DESCRIPTION
Computer Science Dept. KAIST Education. Prof. and Head, Key-Sun Choi. Contents. 1. 2. 3. 4. 5. Brief Overview. 1. Brief Overview . Size of CSD In 1971 2 professors About 10 graduate(MS) students In 2008 31 professors 558 students Under 224, MS125, PhD 209 Now 49 professors - PowerPoint PPT PresentationTRANSCRIPT
Computer Science Dept. KAIST
EducationProf. and Head, Key-Sun Choi
2
Contents
Brief Overview
Curriculum
Graduation Requirement
Research
Vision
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5
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Brief Overview
GoalWorld Top 10 UniversityWorld Class university
21st in Engineering and Informa-tion Technology, THES QS World University Ranking 2009
Size of CSDIn 1971
− 2 professors− About 10 graduate(MS) stu-
dents
In 2008− 31 professors− 558 students
Under 224, MS125, PhD 209
Now− 49 professors− 683 students
Under 277, MS169, PhD 237
1. Brief Overview
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Course Structure
CS1XX freshmanCS2XX sophomoreCS3XX juniorCS4XX senior/graduate studentsCS5XX master/under studentsCS6XX PhD studentsCS7XX special topics in …
2. Curricu-lum
In 2010, New CS101
CS101- Introduction to Programming
Java programmingAll of the freshmen of KAIST12 teams
45 students * 12 team = 540 students5-6 TA’s(grad, under) for each team
3 professors2 hours lecture for 4 teams
6 lecturer(PhD stud)3 hour session for 2 teams
CS101
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Programming languages(X)
public static void main(String args[]);
Programming, Algorithm, Math.
computational thinkinggreat ideas in computer sci-ence
PythonState change in variablesLoop invariance, termina-tionAlgebraic system
OOP
2. Curricu-lum
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Undergraduate CoursesCS204 Discrete mathematicsCS206 Data structureCS300 AlgorithmCS310 Computer OrganizationCS320 Programming LanguagesCS330 Operating System and Lab.CS408 Computer Science Project
Capstone project
CS202 Problem solvingACM ICPC, solve puzzle
CS211 Digital system and Lab.CS220 Programming principle
SICPCS230 System programmingCS3XX 5 elective junior coursesCS4XX 9 elective senior courses
CS491 Computer ethics and social is-sues
Essential Course
(7)
Elective Course
(37)
2. Curricu-lum
Mandatory for gradua-tion
URP− With pro-
fessorInternship
− Venture company
− Research institute
Research Pro-grams
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Graduate Course
CS5XX 26 courses for masterCS6XX 22 courses for PhDCS7XX 16 special topic courses
2. Curricu-lum
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Seminar courses
UndergraduateGraduate
VentureAlumniResearch talksInvited talks
2. Curricu-lum
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Requirements for Master
Course requirements3 elective essentials courses and3 elective courses
Thesis master
Coursework master3 extra elective courses
3. Graduation Require-ment
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Requirements for PhD
Course requirements3 elective essentials courses and7 elective courses
QualifyingThree exams(theory, software, system)Each exam is connected to coursesExam is waived if you got better than A-Within three years
Defense for PhDFive faculty members including advisorPreliminary
− 3-5 yearsFinal defensePaper publish requirement
− International journal− Top level conference
3. Graduation Require-ment
Interdisciplinary Initiatives
Providing the initia-tive for interdiscipli-nary research, follow-ing the role models of MIT CSAIL and CMU School of Computing
Unique characteris-tics of CS
Communication and col-laboration among various research areas are impor-tant Newly-created research ar-eas are actively pursued and supported
Foundations
InformationInfrastructure
Computersand
People
CS-enabled Interdisciplinary
Areas
ComputerSystems
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4. Re-search
Security Cyber physical systems
Search
Foundations
Logic
Algorithms
Computational Geometry
Privacy/Security
Computational Biology
Computer Systems
Networking
Architecture
OS/PL
Graphics
Information Infrastructure
Database
Data Mining
Text Mining
Software Engineering
Information Retrieval
Computers and People
Machine Learning
HCI
Robotics
Vision
Natural Languages
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Core AreasPossible Research Areas of Focus
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Research Areas(1)4. Re-
search
Undergraduate Curriculum Threads
Robotics Bio-Informatics Computational Media Financial Computing Knowledge Service
Real world-scale
computing
Service science
Future web platform &
cloud computing
CS-enabled areas…
Foundations
Logic
Algorithms
Computational Geometry
Privacy/Security
Computational Biology
Computer Systems
Networking
Architecture
OS/PL
Graphics
Information Infrastructure
Database
Data Mining
Text Mining
Software Engineering
Information Retrieval
Computers and People
Machine Learning
HCI
Robotics
Vision
Natural Languages
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Possible Research Areas of Focus
Core Areas
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Research Areas(2)4. Re-
search
Possible Research Areas of Focus
Real-World-Scale Computing
Security
Cyber physical systems
Search
Service science
Future web platform and cloud computing
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4. Re-search
Future Directions for CS Dept.
Computer Science and Engineering will become more pervasive in all
aspects of our future society
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5. Vision
Curricular Reform
Designing new programming courses for improv-ing programming skills of freshmen/sophomoresOffering interdisciplinary education following the vision of pervasive computing
Developing CS-enabled interdisciplinary curricula Collaborating with CT/knowledge service engineering/Bio/industrial engineering/information & media management/mathematics/electrical engi-neering Providing fundamental Pervasive CS curriculum for other departments Providing thread-based curriculum for undergraduate students
− Various elective courses in multiple interdisciplinary areas − Sharing courses with other departments (with CS course numbers) − Sequences for 100~400 level classes− Bridge courses between core CSE and interdisciplinary areasCollaborating with industry experts for curricula design
Globalizing educational effortInternship with global IT companies such as MSR and GoogleDual degree programsUndergraduate Research Program (URP) with foreign and domestic institutes
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5. Vision
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Challenges & Issues (1)
Number of Applicants Undergraduate Graduate
5. Vision
2009 2010 20111 2 1 2 1
MS 149 57 129 42 114PhD 14 17 20 19 36
MS&PhD In-tegrated 1 5 9 1 6
Total 243 220 156
CE/표준 CE/표준 CE/표준
CE/표준
CE/표준CE/표준
CE/표준CE/표준CE/표준CE/표준
CE/표준CE/표준
MS PhD MS&PhD Integrated
CE/표준
CE/표준 CE/표
준
CE/표준
CE/표준 CE/표
준
20092010
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Challenges & Issues (2)
Instruction in English
Single Large department vs. Multiple Small de-partment
What could be done to become “ Global Top 10”
5. Vision
% of English Lecture 2007 2008 2009 2010Under 43% 59% 91% 100%
Graduate 29% 50% 69% 81%
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Thank you