postech wcu

TIMTABLE & SYLLABUS

2011 1nd Semester
Time/Date Mon. Tue. Wed. Thur. Fri.
09:30 - 10:45

ITCE500
Introduction to IT Convergence Engineering
J. Won-Ki Hong

ITCE542/EECE593
Microwave Active Circuits
Bumman Kim

ITCE740D/EECE702F
/IBBT622H

Networks at the
convergence of
IT, NT,BT
G.Cuniberti,
H. Eduardo Roman

ITCE500
Introduction to IT Convergence Engineering
J. Won-Ki Hong

ITCE542/EECE593
Microwave Active Circuits
Bumman Kim

ITCE740D/EECE702F
/IBBT622H

Networks at the
convergence of
IT, NT,BT
G.Cuniberti,
H. Eduardo Roman

 

11:00 -12:15 ITCE642/EECE598
Advanced Nano Devices
Jeong Soo Lee

 

ITCE642/EECE598
Advanced Nano Devices
Jeong Soo Lee

 

 

12:00-13:45

 

 

 

ITCE760B/MOLS622G
A.T :Molecular animail genetics & neuroscience I
Seungjae Lee
(12:30~15:00)

 

14:00- 15:15 ITCE521/EECE576
Statistical Communication Theory
Kyung Whoon Cheun

ITCE562/MOLS515
Biology of Aging
Seung Jae Lee

ITCE504/EECE515
Machine Learning
Seung Jin Choi
ITCE645
Sensor Technology
Meyya Meyyappan,
Jamal Deen

ITCE521/EECE576
Statistical Communication Theory
Kyung Whoon Cheun

ITCE562/MOLS515
/IBIO655

Biology of Aging
Seung Jae Lee

ITCE504/EECE515
Machine Learning
Seung Jin Choi

ITCE561/MOLS502
Advanced Biochemistry
Sanguk Kim

ITCE645
Sensor Technology
Meyya Meyyappan,
Jamal Deen

ITCE561
/MOLS502

Advanced Biochemistry
Sanguk Kim

15:30  16:45 ITCE621/EECE620
Mobile Networks
Chansu Yu,
Young Joo Suh
ITCE710A/EECE702D
Autonomic Traffic Monitoring & Analysis
J. Won-Ki Hong

ITCE621/EECE620
Mobile Networks
Chansu Yu,
Young Joo Suh

ITCE710A/EECE702D
Autonomic Traffic Monitoring & Analysis
J. Won-Ki Hong

 

 

SYLLABUS

ITCE500 up to List

Course Title Introduction to IT Convergence Engineering

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (09:30 ~10:45)

Lecturer

Various; lead is Prof. J. Won-Ki Hong

Lecture Room RIST4406 Type of Course Elective
Office
Location
RIST 4, 4415 Tel.

5699

e-mail

jwkhong@postech.ac.kr

Objectives
This course introduces the subject of convergence for information and communication technologies (ICT). Convergence is the creation of a new technology by merging distinct technologies, industries, and/or devices into a unified whole. This course will introduce key topics in four important ICT areas: nano-technology, bio-technology, communications and networking, and autonomic communications. Each of the four areas will be covered with emphasis on: (1) how different technologies within that area can be combined, and (2) how the four different technologies can be fused together to build Ubiquitous Health solutions. Each course area will be taught by experts in that field, including ITCE Distinguished Visiting Professors as well as POSTECH faculty. This foundational course will be used to aid the student in choosing their area of specialization in the Division of IT Convergence Engineering.

Prerequisite and Compulsory
NONE

Grading
60% homework, 40% student project

Class Materials
NONE - custom set of slides and papers from each Professor

References
John Strassner, “Realizing the Convergence Vision of Korea”, First International Conference on the Convergence Industry, keynote address, Seoul, Republic of Korea, November 23, 2009

Course Schedule
Meets 2 days per week, 75 minute lecture each meeting (prefer Mondays and Wednesdays). Starts March 1 and continues for 16 weeks.
Week 1: Introduction, Administration, and Definition of IT Convergence
Weeks 2-4: Nano-Technology
Weeks 5-7: Bio-Technology
Week 8: Student Project Week
Weeks 9-11: Communications and Networking
Weeks 12-14: Autonomics
Week 15: Student Project Week
Week 16: Student Project Presentations


ITCE642/EECE598 up to List

Course Title Advanced Nano Devices

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (11:00 ~ 12:15)

Lecturer Prof. Jeong-Soo Lee Lecture Room RIST4 406 Type of Course Elective
Office
Location
  Tel.

2380

e-mail

ljs6951@postech.ac.kr

Objectives
This course will focus on the physics, characteristics, and reliabilities of nanoscale electronic devices

Prerequisite and Compulsory
No prerequisite

Grading
Midterm (30%) + Homework (20%) + Term project (40%) + Attendance (10%)

Class Materials
Lecture Notes.

References
- Fundamentals of Modern VLSI Devices, 2nd edition, by Y. Taur & T. H. Ning (Cambridge Univ. Press 2009)
- Nanoscale transistors: device physics, modeling, and simulation by M.S. Lundstom and J. Cuo (Springer 2006)

Course Schedule
1 ~ 3 weeks: MOSFET Fundamentals( MOSFET review, 1D electrostatics, IV characteristics)
4 ~ 7 weeks: Short channel MOSFETs ( Quantum effects, 2D electrostatics, Vth engineering, series resistance, Ballistic Model )
8 ~ 11 weeks: SOI Devices ( SOI electrostatics, FinFETs, UTBFETs, and Nanowire FETs)
12 week: CMOS fabrication ( process flow and device variability)
13 ~ 15 weeks: Reliability ( Negative Bias Temperature Instability, PBTI, TDDB, HCI, 1/f noise )



ITCE521/EECE576 up to List

Course Title Statistical Communication Theory

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (14:00 ~ 15:15)

Lecturer Prof. Kyungwhoon Cheun Lecture Room TBD Type of Course Elective
Office
Location
  Tel.

2235

e-mail

cheun@postech.ac.kr

Objectives
1. Learn the basic working principles of digital communications 2. Learn a little about how the theory is applied to real systems 3. In most cases, I will leave the detailed derivations to you and try to put more emphasis on the principles

Prerequisite and Compulsory
1. Undergraduate level communication theory 2. Working knowledge of basic probability theory 3. C programming and ability to perform simple simulations onS/W platform of choice (C, Matlab, SPW, COSSAP, etc.)

Grading
1. Quizes (announced and unannounced) 2. Homeworks 3. Class Participation (Answering to questions) 4. Exams

Class Materials
Class Notes - Kyungwhoon Cheun

References
Digital modulation and coding - Stephan G. Wilson Digital Communications - Lee / Messerschmitt

Course Schedule
 I. Review of linear systems theory, probability and random processes 1. Linear systems theory 2. Probability 3. Random processes 4. Computer techniques II. Introduction to digital Modems 1. Digital communications system structure 2. Pulse shaping and the eye diagram 3. Intersymbol interference 4. The discrete channel model 5. System performance III. Detection and estimation theory 1. MAP / ML detection 2. MAP / ML estimation % 3. Detection with random process observation 4. Signal space concept 5. Geometric interpretation of the signal space 6. Performance evaluation under AWGN IV. As time permits -Spread-spectrum -Adaptive equalization -Synchronization -Optical communication -Implementation -Other topics



I TCE562/MOLS515/IBIO655 up to List

Course Title Biology of Aging

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (14:00 ~ 15:15)

Lecturer Prof. Seungjae Lee Lecture Room Chem. 401 Type of Course Elective
Office
Location
  Tel.

2351

e-mail

seungjaelee@postech.ac.kr

Objectives
The focus of this course is on current understanding of aging processes at the organismal level. Emphasis is placed on genetic control mechanisms that regulate aging. Moreover, students will discuss key molecular signaling pathways that regulate aging, which are conserved across phyla.

Prerequisite and Compulsory
Undergraduate biology

Grading
50% presentation: 30% attendance: 20% exam

Class Materials
Textbooks are not required but various journal papers will be used.

References
Guarente et al., Molecular Biology of Aging

Course Schedule
1) Theories of Aging, 2) Model Organisms for Aging Research, 4) Calorie Restriction and Longevity, 5) Insulin/IGF-1 Axis, 6) Sirtuins, 7) Cellular Senescence, Cancer and aging, 8) Mitochondria and network, 9) Age-related diseases



ITCE504/EECE515
up to List

Course Title Machine Learning

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (14:00 ~ 15:15)

Lecturer Prof. Seungjin Choi Lecture Room TBD Type of Course Elective
Office
Location
  Tel.

 2259

e-mail

seungjin@postech.ac.kr

Objectives
Machine learning is the study of computer algorithms that allow computers to "learn". It is a method of creating computer algorithms such that computers are able to perform pattern recognition, prediction, decision, and so on. This introductory course on machine learning will address mathematical and statistical methods involving current statistical machine learning as well as various applications. Topics to be covered include density estimation, Bayes decision theory, latent variable models, mixture models, discriminant analysis, clustering, classification, dimensionality reduction, regression, kernel methods, VC-dimension, HMM, MLP, RBF, etc. Main focus will be given to statistical and probabilistic methods for machine learning, involving supervised, unsupervised, and semi supervised learning.

Prerequisite and Compulsory
No pre-requisite.However, the basic understanding of probability/statistics and linearalgebra will be helpful.

Grading
Homework assignments: 50%
Midterm exam: 30%
Final term project: 20%

Class Materials
Pattern Recognition and Machine Learning (by C. Bishop, 2006, Springer)

References
1. Introduction to Machine Learning (by E. Alpaydin, 2004, MIT Press)
2. Pattern Classification, 2nd edition (by Duda et al., 2000)

Course Schedule
[week 1] Introduction and probability primer
[week 2] Density estimation (Kullback matching and maximum likelihood estimation)
[week 3] Expectation maximization
[week 4] Clustering: k-means and Mixture of Gaussians
[week 5] Spectral clustering
[week 6] Continuous latent variable models
[week 7] Linear models for regression
[week 8] midterm exam
[week 9] Bayesian linear regression and Bayesian decision theory
[week 10] Fisher linear discriminant analysis
[week 11] Multilayer perceptron, LMS, Wiener filter
[week 12] Logistic regression and GLM
[week 13] Mixture of experts
[week 14] Kernel methods: Kernel PCA, Kernel FDA, SVM
[week 15] Hidden Markov models
[week 16] Final term project

Others
Late homeworks are not accepted unless the permission is approved by the instructor in advance.



ITCE621/EECE620
up to List

Course Title Mobile Networks

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Mon. & Wed. (15:30 ? 16:45)

94 ="2">Lecturer Prof. Chansu Yu Lecture Room PIRL222 Type of Course Elective
Office
Location
  Tel.

5624

e-mail

chansuyu@postech.ac.kr

Objectives
This course provides an in-depth understanding of the fundamental problems in the area of mobile networks and studies proposed solutions for the problems. The course concentrates on networking issues on wireless mobile network systems, including digital modulation techniques, media access schemes, cellular networks, wireless LANs, mobile ad-hoc networks, mobility management schemes, routing, multicasting, TCP over wireless networks, etc.

Prerequisite and Compulsory
This will be a fast-paced course that covers both the theoretical background and the practical issues of mobile computing and wireless networks. The algorithmic and programming background required is C, C++ and script languages such as Tcl, Awk, perl, and python. A basic knowledge of computer networks and operating systems will be required.

Grading
20% Midterm Exam
30% Final Exam
20% Lab report
30% Project

Class Materials
There are no required textbooks for this course. Lecture notes and research papers will be used, which are provided by the instructor.

References
- Mobile Communications, 2nd Ed., J. Schiller, AddisonWesley, 2003
- IEEE Std 802.11-2007, Local and Metropolitan Area Network, Specific Requirements, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. (http://standards.ieee.org/getieee802/download/802.11-2007.pdf)
- Wireless and Mobility Extensions to ns-2 (http://www.isi.edu/nsnam/ns/doc/ns_doc.pdf)
- Principles of Wireless Networks, K. Pahlavan and P. Krishnamurthy, Prentice Hall, 2002
- Wireless Communications and Networks, 2nd Ed., W. Stallings, Prentice Hall, Inc., 2005
- Ad Hoc Networking, edited by C. E. Perkins, Addison-Wesley, 2001.

Course Schedule
The followings are topics to be covered in this course (temporary schedule).

Week 01: Course overview
Week 02: Physical layer issues & Experiment #1 (GNU Radio/USRP)
Week 03: IEEE 802.11 MAC & Experiment #2 (Ns-2)
Week 04: Wireless LANs
Week 05: Mobile IP & Experiment #3 (Ns-2)
Week 06: Ad hoc networking
Week 07: Ad hoc networking & Experiment #4 (Ns-2)
Week 08: Mid-term Exam
Week 09: Multicast Routing
Week 10: TCP over wireless & Experiment #5 (Ns-2)
Week 11: Digital modulation
Week 12: Spread spectrum & Experiment #6 (GNU Radio/USRP)
Week 13: Software radio experiment #7 (GNU Radio/USRP)
Week 14: Radio propagation & Experiment #8 (Ns-2)
Week 15: MAC Management
Week 16: Final Exam



ITCE542/EECE593
up to List

Course Title Microwave Active Circuits

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Tue. & Thu. (09:30 ~ 10:45)

Lecturer Prof. Bumman Kim Lecture Room TBD Type of Course Elective
Office
Location
  Tel.

2231

e-mail

bmkim@postech.ac.kr

Objectives
This course covers the basic concept of Microwave active circuit design.
Epecifically, it will cover two port network, matching network, microwave amplifier design, broadband amplifier, and Power amplifier. LNA, mixer, and oscillator designs will be also covered.

Prerequisite and Compulsory
Electronic circuit, Microwave engineering

Grading
Exam 3 * 20%, Homework 20%, Circuit design 20%

Class Materials
Microwave Transistor Amplifiers analysis and design by Guillermo Gonzalez Prentice Hall

References
Microwave circuit design using linear and nonlinear techniques by G. D. Vendelin, A. M. Pavio, U. L. Rohde Wiley InterscienceHigh Power GaAsFET Amplifier by John Walker Artech House

Course Schedule
1) representation of two port networks 2) matching network 3) microwave transistor amplifier design 4) noise matching and low noise amplifier design5) broadband amplifier 6) power matching and power amplifier design 7) Mixer design 8) Oscillator design



ITCE645
up to List

Course Title Sensor Technology

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Tue. & Thu. (14:00 ~ 15:15)

Lecturer Prof. Meyya Meyyappan, Jamal Deen Lecture Room RIST4 406 Type of Course Elective
Office
Location
  Tel.

5604

e-mail

mmnano@postech.ac.kr

Objectives
Sensors are small devices, in a sense, designed to replace bulky analytical instruments to meet various needs in chemical, environmental, biomedical, agricultural, and several other industries. This course will discuss how micro and nanotechnologies have been shaping the sensor design and development. Development of sensors that are small,
consume little power and inexpensive is key to realize the goals of U-Health and U-Environment initiatives which are becoming common across the world.

Prerequisite and Compulsory
Undergraduate degrees in one of the following: Electrical Engineering, Mechanical Eng.,
Chemical Engineering, Material Science, Physics, Chemistry

Grading
One project with a final report and presentation 100%

Class Materials
Course viewgraphs will be posted on POVIS in advance

References
None

Course Schedule
1. Introduction 2. Physical sensors (stress, strain, temperature, pressure etc.) 3. Chemical sensors 4. Biosensors 5. Biomedical sensors 6. Sensor theory 7. Modeling 8. Sensor system development 9. Commercial outlook 10. Related topics



ITCE710A/EECE702D
up to List

Course Title Autonomic Traffic Monitoring and Analysis

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Tue, Thu (15:30 ~ 16:45)

Lecturer Prof. James Won-Ki Hong Lecture Room RIST4 406 Type of Course Elective
Office
Location
RIST 4417 Tel.

2244

e-mail

jwkhong@postech.ac.kr

Objectives
Autonomic traffic monitoring and analysis entails monitoring the Internet network links and understanding their behavior. This course will cover the techniques and tools being developed for Autonomic traffic monitoring and analysis. Active and passive monitoring techniques will be studied. In this course, students will get to develop algorithms and a prototype system for capturing packets and analyzing them for various purposes.

Prerequisite and Compulsory
A course on computer or telecommunication networks is required. A course on network management is recommended.

Grading
? Evaluation on each student will be done based on the following:
1. Assignments - 50%
2. Term Project - 45%
3. Class Participation - 5%
? Note: the above evaluation scheme may change slightly during the course.

Class Materials
There will not be a textbook for this course. Lecture materials and research papers will be used for the course.

References
? Alberto Leon-Garcia, Communication Networks: Fundamental Concepts and Key Architectures, McGraw-Hill, ISBN: 0070228396, 2003.
? Richard Stevens, TCP/IP Illustrated, Volume 1: The Protocols, Addison-Wesley, ISBN: 0-201-63346-9, 1994.
? Douglas E. Comer, Computer Networks and Internets, Prentice Hall, ISBN 0-13-599010-6, 1997.
? D. Comer, Internetworking with TCP/IP, Vol I: Principles, Protocols, and Architecture, Second edition, Prentice-Hall, Englewood Cliffs, NJ, ISBN 0-13-468505-9 1991.
? D. Comer and D. Stevens, Internetworking with TCP/IP, Vol II: Design, Implementation, and Internals, Prentice-Hall, Englewood Cliffs, NJ, ISBN 0-13-472242-6 1991.
? William Stallings, Data and Computer Communications, Fifth Edition, Prentice Hall, ISBN 0-02-415425-3, 1997.
? William Stallings, SNMP, SNMPv2, SNMPv3 and RMON 1 and 2, Third Edition, Addison-Wesley, 1999.

Course Schedule
None



ITCE561/MOLS502
up to List

Course Title Advanced Biochemistry

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Tue, Thu (14:00 ~ 15:15)

Lecturer Prof. Sung Ho Ryu, Sanguk Kim,
Yunje Cho
Lecture Room Chem 409 Type of Course Elective
Office
Location
  Tel.

2348

e-mail

sukim@postech.ac.kr

Objectives
This course is designed as an introduction to the recent progresses of biochemistry of living systems. Lecture will address concepts dealing with macromolecular structures, metabolism, cell signaling networks, and biosynthesis.

Prerequisite and Compulsory
Biochemistry

Grading
Presentation 30% Participation of discussion 30% Final exam 40%

Class Materials
None.

References
Recent Review papers and articles

Course Schedule
Part 1 1. Building blocks of Proteins2. Folded conformations of Proteins and Molecular Recognition3. Structure determination I, II4. Structure determination I, II5. Protein Stability and applications6. Protein Folding and dynamics
Part 2 1 Mode of enzyme and metabolic regulation2 Modulation by protein-protein interaction3 Covalent modification (1) : unidirectional & cyclic cascade regulation4 Covalent modification(2) : phosphorylation & protein kinases5 Covalent modification (3): protein phosphatase & integration of regulation
Part 3 1. Protein-protein interaction network2. Protein localization, targeting, and modification3. Protein functional network4. Network biology and evolution5. Mebrane protein structure and function6/10 Discussion Final Exam


ITCE740D up to List

Course Title

Networks at the convergence of IT, NT, BT

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Tue & Thu 09:30 ~ 10:45)

Lecturer Gianaurelio Cuniberti,
H. Eduardo Roman
Lecture Room RIST4406 Type of Course Elective
Office
Location
 RIST4415 Tel.

5605

e-mail

cuniberti@postech.ac.kr
roman@postech.ac.kr

Objectives
Present a broad view of different network structures playing a role in computer, biological and physical sciences and engineering. Learning new advanced statistical methods for characterizing and predicting the behavior of such complex systems.


Prerequisite and Compulsory
Basic knowledge in mathematics, physics and statistics.

Grading

30-40% for assignments;
50-60% for term project;
5-10%for class participation (attendance, questions and answers)

Class Materials
(1) Complex architectures: biological networks (immune networks, gene networks, methabolic networks, neural circuitry) and IT       (artificial neural networks, internet, financial time series) networks.

(2) Nanostructures and molecular assembly: (nanolithography, molecular selfassembly, molecular (DNA) computing).

(3) Elements of stochastic processes. Non parametric statistics, Levy flights.

(4) Scale-free networks.

(5) Non linear time series analysis.

(6) Simulation methods of complex randomstructures. 


References
Lecture notes will be provided. Closely related textbook: http://www.amazon.com/dp/0691113572/

Course Schedule

Tuesday and Thursday 09:30-10:45, March-June 2011


ITCE760B
up to List

Course Title

A.T : Molecular animal genetics & neuroscience 1

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Thu. 12:30 ~ 15:00

Lecturer

Seungjae Lee

Lecture Room TBD Type of Course Elective
Office
Location
  Tel.

2531

e-mail

seungjaelee@postech.ac.kr

Objectives
This course will review current trends in the fields of animal genetics and neuroscience. The topics include neurophysiology, neurodegeneration, metabolic diseases and aging processes

Prerequisite and Compulsory 
Neuroscience, Cell Biology, Genetics, Molecular Biology

Grading
70% presentation, 30% attendance

Class Materials
None
References
None

Course Schedule
TBA