Courses

Courses

COMP 590 SEMINAR

COMP 595 M.SC. THESIS

COMP 695 PH.D. THESIS

ENGL 500 GRADUATE WRITING

TEAC 500 TEACHING EXPERIENCE

COMP 504 DIGITAL SPEECH AND AUDIO PROCESSING

COMP 506 DIGITAL IMAGE AND VIDEO PROCESSING

COMP 508 COMPUTER VISION AND PATTERN RECOGNITION

COMP 510 COMPUTER GRAPHICS

COMP 513 INFORMATION THEORY

COMP 515 DISTRIBUTED COMPUTING SYSTEMS

COMP 529 PARALLEL PROGRAMMING

COMP 534 COMPUTER AND NETWORK SECURITY

COMP 537 INTELLIGENT USER INTERFACES

COMP 540 INFORMATION RETRIEVAL

COMP 541 MACHINE LEARNING

COMP 542 NATURAL LANGUAGE PROCESSING

COMP 543 MODERN CRYPTOGRAPHY

COMP 546 ALGORITHM DESIGN AND ANALYSIS

COMP 570 BIOINFORMATICS AND ALGORITHMS

COMP 589 SOFTWARE RELIABILITY: SPECIFICATION, TESTING AND VERIFICATION

COMP 544 COMPUTATION AND COMPLEXITY

COMP 550 ACTIVE LEARNING

COMP 550 ADVANCED CRYPTOGRAPHY

COMP 550 ADVANCES IN DISTRIBUTED SYSTEMS

COMP 550 ALTERNATIVE USER INTERFACES

COMP 550 BAYESIAN STATISTICS AND MACHINE LEARNING

COMP 550 COMPILER DESIGN

COMP 550 COMPUTATIONAL NATURAL LANGUAGE LEARNING

COMP 550 MONTE CARLO METHODS

COMP 550 SPEECH RECOGNITION

COMP 550 PARALLEL ARCHITECTURES

CMSE 501 INTRODUCTION TO COMPUTATIONAL SCIENCE

ELEC 501 RANDOM PROCESSES

ELEC 505 LINEAR SYSTEM THEORY

ELEC 511 DIGITAL COMMUNICATIONS

ELEC 514 WIRELESS COMMUNICATIONS

ELEC 528 WIRELESS NETWORKS

ELEC 530 DETECTION AND ESTIMATION THEORY

INDR 501 OPTIMIZATION MODELS AND ALGORITHMS

INDR 503 STOCHASTIC MODELS AND THEIR APPLICATIONS

INDR 511 ADVANCED OPTIMIZATION METHODS

INDR 513 ADVANCED STOCHASTIC PROCESSES

INDR 520 NETWORK MODELS AND OPTIMIZATION

INDR 530 DECISION ANALYSIS

INDR 562 INTEGER AND COMBINATORIAL OPTIMIZATION

INDR 564 DYNAMIC PROGRAMMING

INDR 566 SCHEDULING

INDR 568 HEURISTIC METHODS

INDR 574 STOCHASTIC MODELS IN FINANCIAL ENGINEERING

MATH 503 APPLIED MATHEMATICS I

MATH 504 NUMERICAL METHODS I

MATH 506 NUMERICAL METHODS II

MATH 521 ALGEBRA I

MATH 522 ALGEBRA II

MATH 525 ALGEBRATIC NUMBER THEORY

MATH 527 NUMBER THEORY

MATH 531 REAL ANALYSIS I

MATH 532 REAL ANALYSIS II

MATH 536 APPLIED FUNCTIONAL ANALYSIS I

MATH 565 GRAPH THEORY

MECH 522 COMPUTATIONAL FLUID DYNAMICS

MECH 534 COMPUTER BASED SIMULATION AND MODELING

MECH 544 ROBOTICS

COMP 590 Seminar Guidelines

Dear COMP grad students,

All COMP grad students (including PhD students) have to fulfill the requirements of the Comp 590 seminar course before graduation.

Every **MS** student has to take the course **two** times (in two separate semesters) and get S as grade.

Every **PhD** student has to take the course **four** times (in four separate semesters) and get S as grade.

You are recommended to fulfill the requirements of the course by the end of the first year (for MS students) and by the end of the second year (for PhD students).

The course will continue to be automatically added to your program every semester until you get two times S (for MS students) / four times S (for PhD students) from the course. If you are on an official leave, please present a form at the **beginning** of each semester.

A grad student must attend at least **5 seminars** to get S as grade from this course in a given semester. The seminars attended should have taken place **within** the same semester.

The seminars to attend are not pre-arranged, or forced upon you. You may attend any seminar of your choice, as long as your advisor approves (the seminar can even be held at another institution or another related department).

Furthermore, there is no need to get a signature during the seminar. After each seminar you attend, you need to do the following:

1. Prepare a one-page paper including

– Seminar title and info (e.g., date, location, online link)

– Speaker info (e.g., name, institute, web page)

– One-page summary (described below)

2. Take this paper to your advisor to obtain her/his name and signature on it.

3. Hand in the report to the homework hand-in box numbers 164/165 (on the 2nd floor) (**deadline: Jan 11, 2019** **by 2 pm**)

* If you have given a seminar yourself (e.g., as your thesis defense, at a conference, or at a reading group), perform the steps above to get it counted.

* Out of a single event (e.g., conference), you may only have **one** seminar that you attend counted, on top of the seminar you have given, if any.

One suggested source for keeping up with seminars is the event list:

Your grade (S/U) depends on the following:

– If you attend less than 5 seminars per semester, you get U.

– Each paper you submit will be graded over 20 pts. (Thus, 5×20 = 100 pts total)

– You need to obtain at least 10 pts from each 20 pts report.

– You need a total of 60 pts or above to get S.

What does getting U mean?

* If you get U in any semester, you will **not** get the **research/travel award** for that academic year.

* If you get U twice, you will be **expelled** from graduate school.

Paper grading items (4 pts each):

– Problem definition

– Summary of proposed solution

– Main differences from related work

– Conclusions

– Your questions

For each item:

– Getting 4 pts means you did very good

– Getting 3 pts means you did good

– Getting 2 pts means you did ok

– Getting 1 pts means you did below average

– Getting 0 pts means you did almost nothing

A sample seminar report is provided for your reference. **Late** or **unsigned** submissions will **not** be accepted.

Good luck,

COMP Graduate Program Coordinators