postech wcu

TIMTABLE & SYLLABUS

2013 1st Semester
Time/Date Mon. Tue. Wed. Thur. Fri.
09:30 - 10:45

ITCE645
Sensor Technology
for Convergence Engineering
Meyya Meyyappan, Jamal Deen

ITCE500
Intro. to IT Convergence Eng.
Kyo-Chul Kang,
Hector E. Roman

ITCE624/EECE668
Robust Control
PooGyeon Park

  ITCE5 42 / EECE593
Microwave Active Circuits
Bumman Kim

ITCE645
Sensor Technology
for Convergence Engineering
Meyya Meyyappan, Jamal Deen

ITCE500
Intro. to IT Convergence Eng.
Kyo-Chul Kang,
Hector E. Roman

ITCE624/EECE668
Robust Control
PooGyeon Park

ITCE5 42 / EECE593
Microwave Active Circuits
Bumman Kim

 

11:00 -12:15

ITCE740D/IBBT622H
Networks at the convergence of IT,NT,BT
Gianaurelio Cuniberti
Hector E. Roman

ITCE566/IBIO528/MOLS517

Advanced Molecular Genetics
Seungjae Lee

ITCE642/EECE598

Advanced Nano Devices
Jeong-Soo Lee

ITCE505/EECE5 24
Probabilistic Graphical Models
Seungjin Choi

ITCE522/EECE700O
 
Human Body Communication and Networking for Convergence Engineering
Chansu Yu

ITCE740D/IBBT622H
Networks at the convergence of IT,NT,BT
Gianaurelio Cuniberti
Hector E. Roman

ITCE566/IBIO528/MOLS517

Advanced Molecular Genetics
Seungjae Lee

ITCE642/EECE598

Advanced Nano Devices
Jeong-Soo Lee

ITCE505/EECE5 24
Probabilistic Graphical Models
Seungjin Choi

ITCE522/EECE700O
 
Human Body Communication and Networking for Convergence Engineering
Chansu Yu

  ITCE720E
ICT Convergence ENTR for Telematics II
H. Eduardo Roman

12:30-13:45  

 

 

 

ITCE760I/MOLS622E
/IBBT622I
Covergence in
hypoxia biology and
pathophysiology I
Seungjae Lee,
G-One Ahn
  (13:00 ~ 15:30)

14:00-15:15

ITCE544/EECE569
Analog Integrated Circuits
Hongjune Park

ITCE504/EECE515
Machine Learning
Seungjin Choi

  ITCE710H/EECE 702
Computer Security
Jong Kim

 

ITCE544/EECE569
Analog Integrated Circuits
Hongjune Park

ITCE504/EECE515
Machine Learning
Seungjin Choi

  ITCE710H/EECE 702
Computer Security
Jong Kim

  ITCE710F
ICT & HealthCare Convergence
Ahmed Mehaoua
(14:00 ~ 16:45) 

ITCE501/EECE700L
Autonomic System
Guy Pujolle
(14:00 ~ 16:45)

ITCE760I/MOLS622E
/IBBT622I
Covergence in
hypoxia biology and
pathophysiology I
Seungjae Lee,
G-One Ahn
  (13:00 ~ 15:30)

ITCE710D /EECE702U
Enabling Convergence
through Cloud Computing
Raouf Boutaba
(14:00 ~ 16:45)

15:30- 16:45

 


ITCE710F
ICT & HealthCare Convergence
Ahmed Mehaoua
(14:00 ~ 16:45)

ITCE501/EECE700L
Autonomic System
Guy Pujolle
(14:00 ~ 16:45)

ITCE710D /EECE702U
Enabling Convergence
through Cloud Computing
Raouf Boutaba
(14:00 ~ 16:45)

17:00  18:15  

ITCE800A
 
Seminars in IT Convergence Engineering
Kyo-Chul Kang
Hector E. Roman

 

ITCE760H/MOLS622D
Covergence of development and aging III
Seungjae Lee,
Jin Kwan Han
  (17:00 ~ 19:30)

 

 

SYLLABUS

ITCE500 up to List

 

ITCE500
Course Title Introduction to IT Convergence Engineering

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W 09:30 ~10:45

Lecturer

James Won-Ki Hong,
  Hector E. Roman

Lecture Room

RIST4406

Type of Course Mandatory for ITCE
Office
Location

RIST4417
  RIST4416

Tel.

2244
4441

e-mail

jwkhong@postech.ac.kr
roman@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


ITCE504/EECE515 up to List

ITCE504/EECE515
Course Title

Machine Learning

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M & W (14:00 ~ 15:15)

Lecturer

Seungjin Choi

Lecture Room   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.


ITCE710H/EECE702 up to List

ITCE710H/EECE702
Course Title

Computer Security

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M & W (14:00 ~ 15:15)

Lecturer

Jong Kim

Lecture Room

PIRL
421

Type of Course Elective
Office
Location
  Tel.

5600

e-mail

jkim@postech.ac.kr

Objectives
Welcome to Computer Security!  This course is concerned with the security principles and practices of computer systems and networks such as Trusted computing, Wired and Wireless network security. We will review security issues in two aspects: prevention and protection. We will discuss the security issues in the following basic and advanced services in prevention: confidentiality, integrity, authentication, and availability. Also, we will discuss the security issues in providing protection such as filtering, firewall, IDS, and confinement. My goal for this course is that you will learn enough about system and network security and the issues that underlie them to be able to do an independent research and make a contribution in the advancement of technologies. The course will be maintained as student’s presentation. Hence, the active participation by students is required

Prerequisite and Compulsory
This course is a graduate course for whoever has an interest on computer and network security. Prerequisites for this class include computer systems, networks and security-related courses

Grading
Homework/Course Participation            10 %
Student presentation: 30-40 % (expect 3~4 presentations)
Midterm / Final Exam            30 %
Project progress report : 8 %
Project progress presentation 7%
Final Project Presentation 10%
Final project report 15%

Class Materials
There is no required textbook for this class. However, it is recommended to read many related articles and textbook chapters. Many standard documents and conference/journal papers are also recommended for your reading.

References
This is an advanced graduate course. The course will touch on a variety of areas including system security, network protocols, distributed systems, databases, cryptography, etc., without being able to teach them. Rather than requiring all these topics as prerequisites, I expect a sufficient level of maturity that you will be able to read papers or material in these areas. If necessary, you should be prepared to go out and learn more about background topics even if you have not taken a formal course in those topics. The course will probably be conducted different from most courses you have taken. Rather than being lecture-style, it will be discussion-oriented, presentation-oriented with everyone doing some research on course-related topics


Course Schedule
Rough Syllabus (see schedule for up-to-date details, reading, etc)
1st  Week:  Introduction to Computer and Network
2nd Week:   Security Issues in Prevention  / Student topic selection
3rd Week:   Security Issues in Protection  / Student topic study
4th Week:   Student Presentation
5th Week:   Student Presentation
6th Week:   Student Presentation
7th Week:   Student Presentation
8th Week:   Summary / Mid-term / Term-project subject selection
9th Week:   Student Presentation
10th Week:  Student Presentation
11th Week:  Student Presentation
12th Week:  Summary / Project progress presentation
13th Week:  Student Presentation
14th Week:  Student Presentation
15th Week:  Student Presentation
16th Week:  Summary / Final / Term-project final presentation (Presentation 25minutes) and project report submission

ITCE522/EECE700O up to List

ITCE522/EECE700O
Course Title

Human Body Communication & Networking for Convergence Engineering

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

T & T (11:00~12:15)

Lecturer

Chansu Yu

Lecture Room

Rist4406

Type of Course Elective
Office
Location

RIST4
4411-1

Tel.

5624

e-mail

chansuyu@postech.ac.kr

Objectives
 
In this course, students will learn short-range wireless network solutions for personal and body area networks. Topics include network topologies, protocols, and industry standards for these networks such as Bluetooth, 802.15.3, 802.15.4/Zigbee, and 802.15.6 (BAN). They also include ultra low-power signal processing, RF communication near or in body networks, security provisions, and data fusion techniques. Personal and body area network scenarios and applications are also discussed. Students will have an opportunity to get first-hand experience with sensornet, GNU Radio-based software radio platform, and BAN/PAN devices.

Prerequisite and Compulsory
C, C++ and script languages for hands-on experiments, A basic knowledge of computer networks, wireless networks and operating systems.

Grading
30% Midterm Exam (two)
30% Homework & Lab report
30% Two-phase project

10% Attendance & participation

Class Materials
There is no required text for the class. Lecture notes and a set of research papers will be handed out.

References
WPANs to Personal Networks: Technologies and Applications (Ramjee Prasad, Luc Deneire) , Artech

  1. Body Sensor Networks ( Guang-Zhong Yang , Ed.) , Springer, 2006
  2. Principles of Wireless Networks, by K. Pahlavan and P. Krishnamurthy, Prentice Hall PTR, 2002.
  3. Wireless Sensor Networks by Feng Zhao and Leonidas Guibas.
  4. IEEE 802.15 Working Group for WPAN ( http://www.ieee802.org/15/ ) ? 15.1 Bluetooth v1.1, 15.3 MAC and PHY for High Rate WPAN, 15.4 Low Rate WPAN, 15.6 Body area network
  5. GNU Radio/USRP, http://gnuradio.org/
  6. TinyOS, http://www.tinyos.net/

Topics covered
 
Short-range wireless network standards (Bluetooth, 802.15.3, 802.15.4/Zigbee, and 802.15.6)

  1. Ultra low-power communication systems (low-power signal processing, RF communication near or in body networks, antenna, propagation, external transceiver )
  2. Security provisions (adaptive security for low-power, low-rate wireless networks)
  3. Data fusion techniques (m ulti-sensor fusion , di rect data fusion, feature-level fusion )
  4. Context-aware sensing , a utonomic sensing
  5. Personal and body area networkscenarios, projects and applications


I TCE542/EECE593 up to List

I5TCE542/EECE593
Course Title

Microwave Active Circuits

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

T, T 09:30 ~ 10:45

Lecturer

Bumman Kim

Lecture Room   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



ITCE544 up to List

ITCE544
Course Title

Analog Integrated Circuits

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W 14:00 ~ 15:15

Lecturer

Hongjune Park

Lecture Room   Type of Course Elective
Office
Location
  Tel.

 2234

e-mail

hjpark@postech.ac.kr

Objectives
Learn and practice how to design CMOS analog integrated circuits including bias circuits, OP amp and switched capacitor filter using hand analysis and SPICE simulation (Focused learning of CMOS analog circuits rather than extensive coverage, Emphasis on homeworks.  

Prerequisite and Compulsory
Electronic Circuits 1 & 2  

Grading
Exams 50%(midterm 25%, Final 25%), Attendance5%, Homeworks 45% (may be adjusted)  

Class Materials
박홍준 ,  "CMOS 아날로그 집적회로 설계 2 차판 (,)",  시그마 프레스 ,  2010

References
B.Razavi,  "Design of Analog CMOS Integrated Circuits",  McGraw-Hill, 2001
 

Course Schedule
Week 1: Introduction, Quick review of MOS I-V characteristic, small    signal equivalent circuitWeek 2: Review of CS CG CD amp and cascode amp(Ch4),Week 3: Review of differential pair(Ch5),HW1: Differential pair with active loadWeek 4: Review of feedback and noise analysis (Ch6),Week 5: Review of frequency response and stability (Ch7)Week 6, 7: Ch 8 Current source and bias circuits, HW2: Current source designMidterm exam:Week 8, 9; Ch9 CMOS OP ampWeek 10; Quick review of Common mode feedback and fully differential OP amp (Ch10) HW3: OP amp design, Week 12, 14, 15, 16: Switched capacitor filter circuits, HW3 SCF
 

Others
Professor : Hong June Park,  LG417, 279-2234,  E-mail: hjpark@postech.ac.kr
 


ITCE624/EECE668 up to List

ITCE624/EECE668
Course Title

Robust Control

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

T, T 09:30 ~10:45

Lecturer

Poo Gyeon Park

Lecture Room   Type of Course Elective
Office
Location
  Tel.

2238

e-mail

ppg@postech.ac.kr

Objectives
This course will describe various tools based on linear system theories so as to solve modern control problems including H2, minmax, VSC, LPV, and so on.

Prerequisite and Compulsory
linear algebra, linear system theories, probability and random variables, linear systems, estimation theory

Grading
Exam 50% term project 50%

Class Materials
Main textbook: Lecture Note provided!
Reference: Linear Matrix Inequalities inSystem and Control Theory  SIAM, S. Boyd et al (1994)

References
Journal Papers

Course Schedule
1st- 4th week: basic maths
5th- 8th week: linear system theories
9th-13th week: various control problems and their solutions
14th-16th week: TERM PROJECTS

Others
This course is for the MS-PhD students who have the basic knowledge of control theory. Th e final purpose of this class is understanding all approach way of linear system which has been recently listed. The students who want to take this course are kindly requested to study prerequisites in this syllabus
 


ITCE642 up to List

ITCE642
Course Title

Advanced Nano Devices

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W 11:00 ~ 12:15

Lecturer

Jeong-Soo Lee

Lecture Room   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 )


ITCE645 up to List

ITCE645
Course Title

Sensor Technology

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W 09:30 ~ 10:45

Lecturer

Meyya Meyyappan, Jamal Deen

Lecture Room RIST
4412
Type of Course Elective
Office
Location
  Tel.

5604
5607

e-mail

mmnano@postech.ac.kr
jamal@mail.ece.mcmaster.ca

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

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
 


ITCE710D/EECE702U up to List

ITCE710D/EECE702U
Course Title

Enabling Convergence through Cloud Computing

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Fri. 14:00 - 16:45

Lecturer

Raouf Boutaba

Lecture Room

RIST4406

Type of Course Elective
Office
Location

  RIST4413

Tel.

4423

e-mail

rboutaba@postech.ac.kr

Objectives
With the rapid development of hardware and software virtualization technologies, the last few years have witnessed the rise of cloud computing, a new computing model that aims at providing resources to applications and services like public utilities such as water and electricity. Although cloud computing has already become a multi-billion dollar business, many key research challenges still exist, waiting for further and more advanced research. In this course we will read related papers and discuss the current trends and latest findings in this emerging area. The goal of this course is to acquire an in-depth understanding of the research issues in cloud computing including datacenter network design, resource and performance management, energy management, security, pricing as well as application frameworks such as MapReduce. We will also review related research topics including scheduling, network, server and storage virtualization.

Prerequisite and Compulsory
Undergraduate level network and distributed systems course(s)

Grading
15% Class participation
25% Paper presentation
25% Paper reviews

35% Final project

Class Materials
Lecture notes and presentation slides

References
R. Boutaba et al., Cloud computing: State of the art and research challenges. Journal on Internet
Services and Applications. Springer, January 2010.

Selected research articles published in top tier conferences and journals.

Course Schedule
General course description
How to read and review papers
Introduction to Cloud Computing
Research topics in cloud computing
Data center network architectures
Network management
Resource management
MapReduce and scheduling

Cloud storage and data replication

Measurements and performance analysis
Energy management
Pricing and economics

Security and enterprise applications

 


ITCE740D/IBBT622H up to List

ITCE740D/IBBT622H
Course Title

Networks at the convergence of IT, NT, BT

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W (11:00-12:15)

Lecturer Gianaurelio Cuniberti,
H. Eduardo Roman
Lecture Room

RIST4406

Type of Course Elective
Office
Location

  RIST4

Tel.

4431
4441

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 Main Topics (5 Lessons each)
(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 random structures.


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
 


ITCE566/IBIO528/MOLS517 up to List

ITCE566/IBIO528/MOLS517
Course Title

Advanced Molecular Genetics

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

M, W (11:00-12:15)

Lecturer

Seung-Jae Lee

Lecture Room   Type of Course Elective
Office
Location
  Tel.

2351

e-mail

seungjaelee@postech.ac.kr

Objectives
Molecular genetics is one of the most important tools for modern biology.  The purpose of this course is training students to be equipped with comprehensive knowledge of up-to-date genetics at the graduate level.  Thus, the focus is learning current genetics concepts and techniques that have been used to answer fundamental biological questions.

Prerequisite and Compulsory 
Undergraduate molecular biology; undergraduate genetics

Grading
30% exam: 10% attendance: 30% presentation: 30% writing

Class Materials
Hartwell et al., Genetics: From Genes to Genomes, 4th Edition

References
Griffiths et al., Introduction to Genetic Analysis

Course Schedule
  (Tentatively)
1. Introduction to molecular genetics (Chapter 1)
2. Mendelian genetics (Chapter 2 and 3)
3. Chromosome: linkage, recombination and mapping (Chapter 4 and 5)
4. Function of a gene: mutation (Chapter 7)
5. Chromosomal rearrangement (Chapter 14)
6. Non-Mendelian genetics: mitochondria and chloroplasts (Chapter 16)
7. Basic techniques for genetics and genomics (Chapter 9 and 10)
8. Functional genomics and proteomics (Chapter 11 and 12)
9. Developmental genetics: introduction to genetic model organisms (Chapter 20)

10. Model organisms: Yeast, Arabidopsis, C. elegans, Drosophila and mice (Reference A to E; papers)


ITCE501/700L  up to List

ITCE501/700L
Course Title

Autonomic Systems

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Thu. 14:00 ~ 16:45

Lecturer

Guy Pujolle

Lecture Room

RIST4406

Type of Course Elective
Office
Location

RIST4423

Tel.

5605

e-mail

Guy.Pujolle@lip6.fr r

Objectives
This course is intended for the students who are interested in understanding autonomic systems. First, the need and motivation for autonomic systems will be described. Next, we will review different autonomic architectures from the US, Europe and Asia, emphasizing core mechanisms such as control loops, management abstractions, and how sensors and effectors interface the autonomic manager to the entity being managed. We will then examine the salient features of representative autonomic systems, and augment this with practical examples based on our WCU ITCE program, and discuss potential research topics for autonomics graduate students. The course will conclude with examples that explain how to manage different types of systems, how to enable business needs to drive the management of systems and services, and how to orchestrate behavior.

Prerequisite and Compulsory 
IP environment and network management schemes

Grading
40% assignments, 50% course project, 10% class participation

Class Materials
Textbook and powerpoint slides will be provided

References
Z. Movahedi, M. Ayari, R. Langar, and G. Pujolle, "A survey of autonomic network architectures and evaluation criteria", IEEE Communications Surveys and Tutorials, On Line

  1.  ( http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05770278 )
  2. J. Rubio-Loyola, C. Merida-Campos, Joan Serrat, D. Macedo, S. Davy, Z. Movahedi, G. Pujolle - "A Service-centric Orchestration Protocol for Self-organizing Autonomic Management Systems", IEEE Network 25(6): 16-23, 2011

D. F. Macedo, Z. Movahedi, J. Rubio-Loyola, A. Astorga, G. V. Koumoutsos, G. Pujolle: The AutoI approach for the orchestration of autonomic networks. Annals of Telecommunications 66(3-4): 243-255 (2011)

T. Ali Yahiya, G. Pujolle, A.-L. Beylot, An autonomic-oriented framework based IEEE 802.21 for mobility management in 4G networks, ACM SIGMOBILE Mobile Computing and Communications Review 15 (1): 37-51, January 2011

D. F. Macedo, A. L. dos Santos, J. M. S. Nogueira, G. Pujolle: Fuzzy-based load self-configuration in mobile P2P services. Computer Networks 55(8): 1834-1848 (2011)

Course Schedule
1 Need and motivation for autonomic systems
2 Review of different autonomic architectures from the US, Europe and Asia
3 Control loops, management abstractions, sensors and effectors interface, etc.
4 Salient features of representative autonomic systems, and practical examples
5 Knowledge plane and piloting plane
6 Autonomic Internet and Post-IP networks (FP7 project AUTOI and 4WARD)
7 Autonomic wireless and 4G networks
8 Autonomic urbanization for virtual networks and clouds
9 Potential research topics for autonomics graduate students

10 Autonomic to enable business needs to drive the management of systems and services, and


ITCE710F up to List

ITCE710F
Course Title

ICT & HealthCare Convergence

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

W 14:00 ~ 16:45

Lecturer

Ahmed Mehaoua

Lecture Room

RIST4406

Type of Course Elective
Office
Location
  Tel.

5606

e-mail

ahmed.mehaoua@parisdescartes

Objectives
Information and Communication Technologies (ICT) play an essential role in supporting daily life in today's digital society. They are used everywhere now and play an important role in the delivery of better and more efficient healthcare services. The objective of this course is to learn how ICTs are helping you, doctors, pharmacists and hospitals to take better care of your health.

Students taking this course will be guided in their understanding of selective e-Health & m-Health service managing and underlying ICT trends, research and innovations, including the ability to review, identify and critically analyze strengths-weaknesses of varying emerging e-Health ICTs.

Uponcompletion of this course, students will be able to do the following key tasks:
- Perform state-of-the-art reviews of key concepts/theories applicable to the design and the management of efficient, secure and flexible e-/m-healthcare services and underlying ICT;
-  Generate new ideas about future e-Health & m-Health innovations, research and practices

- Learn to assemble a “conference paper” for submission to an academic conference.

Prerequisite and Compulsory 
Undergraduate level network and operating systems course(s)

Grading
The delivery of this course will include lectures, class discussions, and presentations of selected topics by student/student groups. There will be no mid-term or final examinations. To complete the class program, the students will examine and present specific projects that relate to the course in groups of two-three as a team

Component 

Weight

Class Participation  

15%

Seminar Presentation 

25%

Individual Home Assignments  

30%

Group Project (presentation & written Report) 

30%

Total 

100%

Class Materials
Presentation slides

References
Selected survey and research articles on e-/m-health & ICT management (TBA)
 
Course Schedule
An Introduction to health informatics (e.g. e-/m-Health)  
-     
Taxonomy of e-Health & m-Health applications and approaches
-     
Basic concepts, architectures and models of e-/m-Health service management
-     
HealthCare & ICT Convergence: issues and challenges

Health Information enabling Technologies
-     
Mobile & Wireless Communication technologies
-     
HealthCare Sensor Hardware & Software Architectures
-     
Multimedia Enhanced Learning , Training & Simulation for Health
-     
A case-study: Tele-medicine & Remote surgery

Wireless Body Area Networks for HealthCare
-     
Concepts, framework and applications
-     
WBAN classification
-     
WBAN research issues & challenges
-     
Case study: Energy-savings WBAN design & operation 

Security, Privacy and Trust management on the HealthCare Systems 
-     
Personal Medical Data Protection & Privacy
-     
Authentication & Trust management
-     
Intrusion detection & prevention systems for WBAN
-     
A case-study: A security framework for remote health monitoring in Smart Home 

Future Internet & Emerging HealthCare services & challenges
- Future Internet principles & emerging ICT technologies

- future trends inpatient-centered web computing and e-Health: Medical Web expert, immersive multisensory healthcare services, remote chronic disease management (e.g. diabetes, heart failure, depression), …

 


ITCE800A up to List

ITCE800A
Course Title

Seminars in IT Convergence Engineering

No. of Credits

1-0-1

Dept.

IT Convergence Engineering

Lecture Time

Tue 17:00 ~ 18:15

Lecturer

James Won Ki Hong

Lecture Room

RIST4406

Type of Course Elective
Office
Location

RIST 4417
,4416

Tel.

2244
4441

e-mail

jwkhong@postech.ac.kr
roman@postech.ac.kr

Objectives
This course is a seminar course providing seminars given by invited speakers from around the world as well as speakers from POSTECH on various topics on but not limited to the convergence of IT, BT, NT, Communications and Networking.

Prerequisite and Compulsory 
None

Grading
TBA

Class Materials
None

References
None

Course Schedule
TBA  


ITCE760H/MOLS622D up to List

ITCE760H/MOLS622D
Course Title

Convergence of development and aging III

No. of Credits

1-0-1

Dept.

IT Convergence Engineering

Lecture Time

Thu, 16:00 ~ 18:30

Lecturer

Seung-Jae Lee, Jin Kwan Han

Lecture Room

 

Type of Course Elective
Office
Location

 

Tel.

2351

e-mail

seungjaelee@postech.ac.kr

Objectives
This is a continuation of the series of the convergence of development and aging courses. We will review the latest trend in the fields of biological research on the development and aging processes of model organisms. The topics include early embryonic development, late organogenesis in the Xenopus, and metabolism and aging processes in C. elegans, and the implications of these studies in human. This course expands an in-depth analysis of the current literature in developmental biology and molecular genetics of aging

Prerequisite and Compulsory 
Molecular Biology, Cell Biology, Biochemistry

Grading
70% presentation, 30% attendance

Class Materials
not required

References
None

Course Schedule
TBA  


ITCE760I/MOLS622E/IBBT622I up to List

ITCE760I/MOLS622E/IBBT622I
Course Title

Seminars in IT Convergence Engineering Convergence in hypoxia biology and pathophysiology I

No. of Credits

1-0-1

Dept.

IT Convergence Engineering

Lecture Time

Fri, 13:00 ~ 15:30

Lecturer

Seung-Jae Lee

Lecture Room

 

Type of Course Elective
Office
Location

 

Tel.

2351

e-mail

seungjaelee@postech.ac.kr

Objectives
Hypoxia is potentially dangerous environmental condition that all the aerobic organisms must deal with. This course will review the latest trend in the biology and pathophysiology of hypoxia. The topics include mechanisms by which HIF (hypoxia inducible factor) is regulated in vivo, functions of HIF and VHL (von Hippel-Lindau) in inflammatory diseases including cancer and cardiovascular diseases, and roles of mitochondria and reactive oxygen species in hypoxic response and aging. This course expands an in-depth coverage of the current literature in the biology of hypoxia and its implication in human diseases.

Prerequisite and Compulsory 
Molecular Biology, Cell Biology, Biochemistry

Grading
70% presentation, 30% attendance

Class Materials
various research papers

References


Course Schedule


ITCE505/EECE524 up to List

ITCE505/EECE524
Course Title

Probabilistic Graphical Models

No. of Credits

3-0-3

Dept.

IT Convergence Engineering

Lecture Time

Fri. 13:00 ~ 15:30

Lecturer

Seungjin Choi

Lecture Room

Eng. 2 Room 107

Type of Course Elective
Office
Location

 

Tel.

2259

e-mail

seungjin@postech.ac.kr

Objectives
Probabilistic graphical models are a happy marriage between probability theory and graph theory. Probabilitic graphical models are graphs in which nodes are random variables and on which conditional independence are encoded. They provide a natural and powerful tool for dealing with uncertainty and complexity which are playing an increasingly important role in the design and analysis of machine learning algorithms. Three topics are mainly covered, including representation (directed graphs, undirected graphs, factor graphs), probabilistic inference (sum product, belief propagation, junction tree, variational approximation, sampling methods) and learning (maximum likelihood, MAP, Bayesian estimation, expectation maximization). A term project is given, in which one can choose his/her own application such as computer vision, bioinformatics, natural language, data mining, networking, in order to see how probabilistic graphical models are applied.

Prerequisite and Compulsory 
No pre-requisite

Grading

homework assignments: 40%
a wrriten exam: 30%
a term project: 30%homework assignments: 40%

Class Materials
An Introduction to Probabilistic Graphical Models
(unpublisehd book by M. I. Jordan, hardcopies will be given out in class)


References
1. Pattern Recognition and Machine Learning (by C. Bishop, 2006)
2. Probabilisti Graphical Models: Principles and Techniques (by D. Koller and N. Friedman, 2009)


Course Schedule
week 1: Conditional independence and factorization
week 2: Exact inference: sum-produc algorithm on undirected graphs
week 3: Belielf propagation on Bayesian networks and factor graphs
week 4: Tree distributions: Chow-Liu trees and mixture of trees
week 5: Density estimation
week 6: EM and variational Bayesian EM
week 7: Variational mixture of Gaussian
week 8: Variational PCA
week 9: Midterm exam
week 10: Regression and Bayesian linear regression
week 11: Bayeisan logistic regression
week 12:  Classification, Exponential families and GLM
week 14: Completely observable graphical models week 10 EM, FA, MFA
week 15: Linear dynamical systems and hidden Markov models

week 16: Sampling methods

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


ITCE720E up to List

ITCE720E
Course Title

ICT  Convergence Entrepreneurship for Telematics II

No. of Credits

1-0-1

Dept.

IT Convergence Engineering

Lecture Time

Fri. 11:00 ~ 12:15

Lecturer

H . Eduardo Roman

Lecture Room

RIST4406

Type of Course Elective
Office
Location

RIST 4416

Tel.

4441

e-mail

roman @postech.ac.kr

Objectives
Complete and extend the previous projects discussed during the ICT Convergence Entrepreneurship for Telematics (Fall semester 2012). Emphasis will be given on preparation of business plans, including revenue and profit expectations. Technical and analytical support to the future developments of the projects will be provided.

Prerequisite and Compulsory 
Successfully attended ICT Convergence Entrepreneurship for Telematics Fall semester 2012

Grading
Graduate-level course. 

Class Materials

References
Reports presented during ICT CET I (Fall 2012).

Course Schedule
Friday 11:00-12:15