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 PresentationTRANSCRIPT
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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
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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?
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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
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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)
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Department of BioSystems and Brain Science Research Center, KAIST 5
Department of BioSystemsBioInformaticsBioElectronicsBioMEMS
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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
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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
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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
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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
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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
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Department of BioSystems and Brain Science Research Center, KAIST 11
Research Centers• Brain Science Research Center• Digital Locomotive Research
Center• Center for BioInformatics Research
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Department of BioSystems and Brain Science Research Center, KAIST 12
Proteomics
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Department of BioSystems and Brain Science Research Center, KAIST 13
Artificial Auditory System
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Department of BioSystems and Brain Science Research Center, KAIST 14
BioMedical ImagingBrain Signal Measurement
Simultaneous measurement of fMRI and EEG
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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
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Department of BioSystems and Brain Science Research Center, KAIST 16
Interdisciplinary Education
Biological Science
Bio-Informatics
Bio-Electronics
Bio-MEMS
BioSystems
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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)
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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
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Department of BioSystems and Brain Science Research Center, KAIST 19
Difficulties• Terminology• Culture
However, students are highly motivated.
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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
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Department of BioSystems and Brain Science Research Center, KAIST 21
Education Concept (2)• “T”-shaped education
breadth
depth
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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
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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.
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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
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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)
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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
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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.
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Jung MoonSoul BuildingHome of BioSystems
Please visit the web site at http://biosys.kaist.ac.kr