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Interdisciplinary Education to Combine EECS
and Biological Science
Soo-Young Lee
Department of BioSystemsDepartment of EECS
Brain Science Research CenterKorea Advanced Institute of Science and Technology
http://biosys.kaist.ac.kr
Department of BioSystems and Brain Science Research Center, KAIST 2
Century of EECS• EECS has been dynamic!• EECS is a furnace to melt everything
and extract valuable jewels.– From physics
• Microwaves, Optics, Semiconductor– From mathematics
• Control, Communication, Computer, Information Science
• What is next?
Department of BioSystems and Brain Science Research Center, KAIST 3
EECS
TechnoFutures James Canton, 1999.
Power Tool for the 21st Century
Computer
Network
BioTechology
NanoTechnology
Department of BioSystems and Brain Science Research Center, KAIST 4
New Additions to EECS From biological science (life science),
neuroscience, and medical science• BioInformatics (BS+CS)• BioElectronics (BS+EE)• BioMEMS (BS+Nano)
Department of BioSystems and Brain Science Research Center, KAIST 5
Department of BioSystemsBioInformaticsBioElectronicsBioMEMS
Department of BioSystems and Brain Science Research Center, KAIST 6
History• 2001.1.-5. Feasibility Study• 2001.8. Donation from Mr. Jung
(US$25 million)• 2002.2. Department Inauguration• 2002.9. First Graduate Admission• 2003.3. First Undergraduate
Course• 2003.8. Completion of Jung
MoonSool Building
Department of BioSystems and Brain Science Research Center, KAIST 7
What is BioSystems?
Life Science(Biology/Medical/
Neuroscience)
Engineering(EE/CS/ MEMS)
Biologically-Motivated Intelligent Systems
Biologically-Oriented Information Systems
Department of BioSystems and Brain Science Research Center, KAIST 8
Academic Background and Research Topics
BioElectronics
BioMEMS
BioInformatics
NeuralSystems
BioMedical Imaging
NanoBioSystems
Systems BiologyTechniques
Systems BiologyApplications BioSystemsBioSystems
Bio-Inspired Systems
Neuro- Informatics
Bio/Neuron Chips
BioChips/Sensors
Department of BioSystems and Brain Science Research Center, KAIST 9
Research Modality
Bio/Neuro Data
Mathematical Model
Functional Systems
Hardware Implementation
Analysis Algorithm
Measurement Technology
Department of BioSystems and Brain Science Research Center, KAIST 10
Different Levels of BS
ComputationalBiology
Genetic Level
Protein Level
Cellular Level
Circuit Level
System Level
Functional/Behavioral LevelSystems
Molecules
Department of BioSystems and Brain Science Research Center, KAIST 11
Research Centers• Brain Science Research Center• Digital Locomotive Research
Center• Center for BioInformatics Research
Department of BioSystems and Brain Science Research Center, KAIST 12
Proteomics
Department of BioSystems and Brain Science Research Center, KAIST 13
Artificial Auditory System
Department of BioSystems and Brain Science Research Center, KAIST 14
BioMedical ImagingBrain Signal Measurement
Simultaneous measurement of fMRI and EEG
Department of BioSystems and Brain Science Research Center, KAIST 15
Digital Nanolocomotion Center
Digital Nanolocomotion Center NanoSentuating Systems Laboratory
Total size = 1.2mm x 1.3mm
Precision = 12.3nm
Range = 5.46m
Frequency = 7.2kHz
생체 근육
Department of BioSystems and Brain Science Research Center, KAIST 16
Interdisciplinary Education
Biological Science
Bio-Informatics
Bio-Electronics
Bio-MEMS
BioSystems
Department of BioSystems and Brain Science Research Center, KAIST 17
Faculties• Faculty:
– 7 Core Faculties(EE, CS, Mechanical, BS, Chemistry)
– 4 Joint Faculties(EE, BS, CE, CogS)
– 10 Collaborating Faculties (in US)
Department of BioSystems and Brain Science Research Center, KAIST 18
Students• Multidisciplinary
– EE, CS, Mechanical, Medical Electronics
– BS, Chemistry
• Graduate Students: – From Fall, 2002
• 4 Ph.D. course students• 11 MS course students
– From Spring 2003 • 6 Ph.D. course students• 19 MS course students
GraduateStudents
CS
EE
ME
BS
Chem/CE
Others
Department of BioSystems and Brain Science Research Center, KAIST 19
Difficulties• Terminology• Culture
However, students are highly motivated.
Department of BioSystems and Brain Science Research Center, KAIST 20
Education Concept (1)• EOD (Education-On-Demand)
– Customized to each track/student• BioInformatics• BioElectronics• BioMEMS
– Minimum number of required courses
Department of BioSystems and Brain Science Research Center, KAIST 21
Education Concept (2)• “T”-shaped education
breadth
depth
Department of BioSystems and Brain Science Research Center, KAIST 22
Undergraduate Curriculum• Requirements
– Introduction to Bioinformation and Bioelectronics
– Biomolecules and Metabolism – Biochemistry – Computer System – Data Structure and Algorithm – Biological Instrumentation Laboratory
Department of BioSystems and Brain Science Research Center, KAIST 23
Undergraduate Curriculum• Electives
– Micromaterial Properties and Behavior – Regulation of Cell Function – Systems Biotechnology – Biological Signal Processing – Neural Information Processing Algorithm – Human Physiology – Molecular Biology – Cognitive Neuroscience – etc.
Department of BioSystems and Brain Science Research Center, KAIST 24
Graduate Curriculum• Requirements
– Bioinformation and Bioelectronics• Pre-Requisite
– Biology for Engineers– Information and Electronics for
Scientists
Department of BioSystems and Brain Science Research Center, KAIST 25
Required Courses
• UndergraduateIntroduction to BioInformation and BioElectronics
• GraduateBioInformation and BioElectronics- Half lecture- Half project (interdisciplinary team)
Department of BioSystems and Brain Science Research Center, KAIST 26
Information and Electronics for Scientists
• System programming• Programming language• Differential and difference equations• Probability and statistics• Signal analysis and filtering• Computer interface• Semiconductor device fabrication• Electromagnetic waves and optics• Electromechanical devices
Department of BioSystems and Brain Science Research Center, KAIST 27
EECS+BS=BioSystems
• It is not an elective, but is requirement.
• Teaching BS to engineers is easier than the opposite.
• However, it is better to teach earlier.
Jung MoonSoul BuildingHome of BioSystems
Please visit the web site at http://biosys.kaist.ac.kr