|
| Section | Day | Time | Instructor | Exam Date | Delivery |
|---|
| CS 802 - Parallel Algorithm |
|---|
| Theoretical and practical aspects of parallel algorithms; functional descriptions of various parallel models of computations; interconnection networks for multi-computers. Prior to registering for this course, students should have a background in parallel computing comparable to the senior undergraduate level. |
| 002 |
W |
6:00pm - 8:45pm |
Qian Yu |
22-AUG-20 |
RLDS |
| CS 825 - Image Processing |
|---|
| Image models; image transformations; enhancement and restoration techniques; image segmentation; feature extractions and higher level descriptions. Prior to registering in this course, students should have a background in image processing, and numerical and symbolic computing comparable to the senior undergraduate level. |
| 001 |
TR |
11:00am - 12:15pm |
Xue-Dong Yang |
|
RLDS |
| CS 829 - Information Theory and Applications |
|---|
| This course covers the fundamentals of information theory and its application in content distribution over the Internet. Topics covered include: information theory, channel codes, content distribution network, and peer-to-peer network coding. * Note: Prior to registering in this course, students should have a background in Data Communications and Network comparable to the senior undergraduate level. * |
| 001 |
TR |
09:30am - 10:45am |
Trevor Tomesh |
|
RLDS |
| CS 837 - Information Visualization |
|---|
| Information Visualization focuses on the design, development, and study of interactive visualization techniques for the analysis, comprehension, exploration, and explanation of large collections of abstract information. Topics to be covered include principles of visual perception, information data types, visual encodings of data, representations of relationships, interaction methods, and evaluation techniques. |
| 001 |
TRF |
1:00pm - 3:45pm |
Orland Hoeber |
|
RLDS |
| 001 |
TRF |
1:00pm - 3:45pm |
Orland Hoeber |
|
RLDS |
| 001 |
F |
1:00pm - 3:45pm |
Orland Hoeber |
|
RLDS |
| 001 |
|
1:00pm - 3:45pm |
Orland Hoeber |
|
RLDS |
| CS 842 - Intoduction to Data Science |
|---|
| This course provides a broad overview of the data science process lifecycle which includes data discovery, data preparation, model planning, machine learning model implementation and evaluation, visualization, and delivery. The course provides hands-on data science experience via a real-world project. |
| 002 |
TRF |
1:00pm - 3:45pm |
Alireza Manashty |
|
RLWS |
| 002 |
TR |
1:00pm - 3:45pm |
Alireza Manashty |
|
RLWS |
| 002 |
TRF |
1:00pm - 3:45pm |
Alireza Manashty |
|
RLWS |
| 002 |
R |
1:00pm - 3:45pm |
Alireza Manashty |
|
RLWS |
| 002 |
R |
1:00pm - 3:45pm |
Alireza Manashty |
|
RLWS |
| CS 890BK - Data Cleaning |
|---|
| Introduction to data cleaning. Missing values. Noisy Data. Inconsistent data, Syntactiv transformation techniques. Integrity checking. Semantic transformation techniques. Software for data cleaning. Project. |
| 001 |
|
- |
Trevor Tomesh |
|
|
| CS 890CF - Human Computer Communication |
|---|
| Theory and practice related to the design and implementation of usable software and easy-to-learn interfaces. Specific topics will include user-centered design and task analysis; design and methods of evaluation. |
| 001 |
|
- |
David Gerhard |
|
|
| CS 890CO - Heuristic Algorithms in Optim |
|---|
| In this course, we will study state-of-the-art heuristic algorithms for finding approximation solutions, including simulated annealing, genetic algorithms, ant colony algorithms, tabu search and others. |
| 001 |
|
- |
Malek Mouhoub |
|
|
| CS 890EN - Topics in Machine Learning |
|---|
| This course provides an intensive study of one or more topics related to Machine Learning. Potential topics include inductive inference; concept learning; statistical learning; learning from time series; grammatical inference; knowledge acquisition. |
| 001 |
|
- |
Samira Sadaoui-Mouhoub |
|
|
| CS 900 - Computer Science Graduate Seminar |
|---|
| CS Graduate students must complete two semesters of CS 900, with the exception of MSc Course Route students, who must complete one semester of CS 900. When enrolled in CS 900, a student must make one presentation and attend all presentations. In the first semester of CS 900, the student will choose a Computer Science topic within their research area. In the second semester of CS 900 (if required), the student will choose a topic within their own research. |
| 001 |
|
- |
Alireza Manashty |
|
|
| CS 901 - Research |
|---|
| Thesis research. |
| 001 |
|
- |
Cortney Butz |
|
|
| 003 |
|
- |
Lisa Fan |
|
|
| 004 |
|
- |
Howard Hamilton |
|
|
| 005 |
|
- |
Daryl Hepting |
|
|
| 006 |
|
- |
STAFF |
|
|
| 007 |
|
- |
STAFF |
|
|
| 008 |
|
- |
Malek Mouhoub |
|
|
| 010 |
|
- |
Samira Sadaoui-Mouhoub |
|
|
| 012 |
|
- |
Boting Yang |
|
|
| 013 |
|
- |
Xue-Dong Yang |
|
|
| 014 |
|
- |
Jingtao Yao |
|
|
| 015 |
|
- |
Yiyu Yao |
|
|
| 016 |
|
- |
STAFF |
|
|
| 019 |
|
- |
David Gerhard |
|
|
| 022 |
|
- |
Sandra Zilles |
|
|
| 023 |
|
- |
Orland Hoeber |
|
|
| 024 |
|
- |
Habib Louafi |
|
|
| 025 |
|
- |
Alireza Manashty |
|
|
| CS 902 - Project Research |
|---|
| A supervisor approved project requiring an in-depth student investigation of a CS problem. |
| 001 |
|
- |
STAFF |
|
|
| 003 |
|
- |
STAFF |
|
|
| 004 |
|
- |
STAFF |
|
|
| 006 |
|
- |
STAFF |
|
|
| 010 |
|
- |
STAFF |
|
|
| 015 |
|
- |
STAFF |
|
|
| 025 |
|
- |
Alireza Manashty |
|
|
