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Interdisciplinary Education to Combine EECS and Biological Science

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!

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Interdisciplinary Education to Combine EECS and Biological Science

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  1. 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

  2. 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? Century of EECS Department of BioSystems andBrain Science Research Center, KAIST

  3. Bio Techology Computer Power Tool for the 21st Century Nano Technology Network TechnoFutures James Canton, 1999. EECS Department of BioSystems andBrain Science Research Center, KAIST

  4. From biological science (life science), neuroscience, and medical science BioInformatics (BS+CS) BioElectronics (BS+EE) BioMEMS (BS+Nano) New Additions to EECS Department of BioSystems andBrain Science Research Center, KAIST

  5. Department of BioSystems BioInformatics BioElectronics BioMEMS Department of BioSystems andBrain Science Research Center, KAIST

  6. 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 History Department of BioSystems andBrain Science Research Center, KAIST

  7. What is BioSystems? Biologically-Oriented Information Systems Life Science (Biology/Medical/ Neuroscience) Engineering (EE/CS/ MEMS) Biologically-Motivated Intelligent Systems Department of BioSystems andBrain Science Research Center, KAIST

  8. Academic Background and Research Topics BioElectronics BioInformatics BioMedical Imaging Systems Biology Techniques Neuro- Informatics Systems Biology Applications Neural Systems BioSystems Bio/Neuron Chips BioChips/ Sensors Bio-Inspired Systems NanoBio Systems BioMEMS Department of BioSystems andBrain Science Research Center, KAIST

  9. Research Modality Functional Systems Hardware Implementation Mathematical Model Analysis Algorithm Bio/Neuro Data Measurement Technology Department of BioSystems andBrain Science Research Center, KAIST

  10. Functional/Behavioral Level Systems System Level Circuit Level Cellular Level Protein Level Genetic Level Molecules Different Levels of BS Computational Biology Department of BioSystems andBrain Science Research Center, KAIST

  11. Brain Science Research Center Digital Locomotive Research Center Center for BioInformatics Research Research Centers Department of BioSystems andBrain Science Research Center, KAIST

  12. Proteomics Department of BioSystems andBrain Science Research Center, KAIST

  13. Artificial Auditory System Department of BioSystems andBrain Science Research Center, KAIST

  14. BioMedical ImagingBrain Signal Measurement Simultaneous measurement of fMRI and EEG Department of BioSystems andBrain Science Research Center, KAIST

  15. Digital Nanolocomotion Center Total size = 1.2mm x 1.3mm Precision = 12.3nm Range = 5.46mm Frequency = 7.2kHz 생체 근육 Department of BioSystems andBrain Science Research Center, KAIST Digital Nanolocomotion Center NanoSentuating Systems Laboratory

  16. Bio-Informatics Bio-Electronics Bio- MEMS BioSystems Biological Science Interdisciplinary Education Department of BioSystems andBrain Science Research Center, KAIST

  17. Faculty: 7 Core Faculties(EE, CS, Mechanical, BS, Chemistry) 4 Joint Faculties(EE, BS, CE, CogS) 10 Collaborating Faculties (in US) Faculties Department of BioSystems andBrain Science Research Center, KAIST

  18. 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 Others ME BS Graduate Students EE Chem/CE CS Students Department of BioSystems andBrain Science Research Center, KAIST

  19. Terminology Culture However, students are highly motivated. Difficulties Department of BioSystems andBrain Science Research Center, KAIST

  20. EOD (Education-On-Demand) Customized to each track/student BioInformatics BioElectronics BioMEMS Minimum number of required courses Education Concept (1) Department of BioSystems andBrain Science Research Center, KAIST

  21. “T”-shaped education Education Concept (2) breadth depth Department of BioSystems andBrain Science Research Center, KAIST

  22. Requirements Introduction to Bioinformation and Bioelectronics Biomolecules and Metabolism Biochemistry Computer System Data Structure and Algorithm Biological Instrumentation Laboratory Undergraduate Curriculum Department of BioSystems andBrain Science Research Center, KAIST

  23. 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. Undergraduate Curriculum Department of BioSystems andBrain Science Research Center, KAIST

  24. Requirements Bioinformation and Bioelectronics Pre-Requisite Biology for Engineers Information and Electronics for Scientists Graduate Curriculum Department of BioSystems andBrain Science Research Center, KAIST

  25. UndergraduateIntroduction to BioInformation and BioElectronics GraduateBioInformation and BioElectronics- Half lecture- Half project (interdisciplinary team) Required Courses Department of BioSystems andBrain Science Research Center, KAIST

  26. 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 Information and Electronics for Scientists Department of BioSystems andBrain Science Research Center, KAIST

  27. It is not an elective, but is requirement. Teaching BS to engineers is easier than the opposite. However, it is better to teach earlier. EECS+BS=BioSystems Department of BioSystems andBrain Science Research Center, KAIST

  28. Jung MoonSoul BuildingHome of BioSystems Please visit the web site at http://biosys.kaist.ac.kr

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