Interdisciplinary Education to Combine EECS and Biological Science

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Interdisciplinary Education to Combine EECS and Biological Science. Soo-Young Lee Department of BioSystems Department of EECS Brain Science Research Center Korea Advanced Institute of Science and Technology http://biosys.kaist.ac.kr. EECS has been dynamic! - PowerPoint PPT Presentation

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1

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

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