|
| 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. |
| 001 |
M |
7:00pm - 9:45pm |
Qian Yu |
|
RLDS |
| CS 807 - Interactive Hardware and Embedded Computing |
|---|
| Hardware design for physical and pervasive computing systems. Wired and wireless communication protocols; sensors and actuators; resource constraints; location- and context-awareness. Applications include: wearable computing, wireless sensor networks, robotics and automation, internet of things. Embedded hardware platforms such as ARM (raspberry Pi) and AVR (Arduino). |
| 001 |
|
- |
David Gerhard |
|
|
| CS 820 - Artificial Intelligence |
|---|
| Logics; natural language processing; knowledge representation; uncertainty reasoning; machine learning; expert systems; neutral networks. Prior to registering for this course, students should have a background in artificial intelligence comparable to the senior undergraduate level. |
| 001 |
M |
10:30am - 1:00pm |
Malek Mouhoub |
23-AUG-21 |
RLDS |
| CS 824 - Informational Retrieval |
|---|
| Content analysis; types of storage and retrieval systems; retrieval models; information theory; multimedia retrieval; hypertext; information network and inference. Prior to registering for this course, students should have a background in algorithms and data structures, and database and information retrieval comparable to the senior undergraduate level. |
| 001 |
MTWR |
09:00am - 10:15am |
Mengjun Hu |
21-JUN-21 |
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 |
1:00pm - 2:15pm |
Xue-Dong Yang |
|
RLDS |
| CS 839 - Web Intelligence & E-commerce |
|---|
| The course investigates research topics related to Web Intelligence and Electronic Commerce. The topics include: web technology, network infrastructure, web-based business models, agents, Extended Markup Language, web mining, security, web information filtering and retrieval, and intelligent information systems. |
| 001 |
TR |
2:30pm - 3:45pm |
Jingtao Yao |
21-AUG-21 |
RLDS |
| CS 890BR - Constraint Programming |
|---|
| Constraint satisfaction, stochastic search, CLP, TSLP. |
| 001 |
MW |
4:30pm - 5:45pm |
STAFF |
21-AUG-21 |
RLDS |
| CS 890CS - Time Series Forecasting |
|---|
| The course focuses on a study of methods for the time series forecasting, with applications such as forecasting stock prices and retail prices, Traditional statistical methods and data mining methods will be examined and compared with respect to their efficiency and effectiveness for the time series forecasting. A system will be developed for forecasting retail prices for a product. |
| 001 |
|
- |
Howard Hamilton |
|
|
| CS 890EC - Computational Learning Theory |
|---|
| Selected topics in computational learning theory and applications,
e.g., models of interactive machine learning, privacy-preserving
learning, statistical learning, recursion-theoretic models of
learning, complexity analysis of learning algorithms. Reading
materials include 2 book chapters and 10-15 research articles. A term
project is required.
|
| 001 |
|
- |
Sandra Zilles |
|
|
| CS 890ET - User Interface Evaluation Methods |
|---|
| Methods for evaluating user interfaces with human subjects. Topics include research ethics, research methods, experimental design, data collection, and data analysis. |
| 001 |
TR |
2:30pm - 6:45pm |
Orland Hoeber |
|
|
| 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 |
TR |
2:30pm - 3:45pm |
Alireza Manashty |
|
RLDS |
| CS 901 - Research |
|---|
| Thesis research. |
| 001 |
|
- |
Cortney Butz |
|
|
| 003 |
|
- |
Lisa Fan |
|
|
| 004 |
|
- |
Howard Hamilton |
|
|
| 005 |
|
- |
Daryl Hepting |
|
|
| 008 |
|
- |
Malek Mouhoub |
|
|
| 010 |
|
- |
Samira Sadaoui-Mouhoub |
|
|
| 012 |
|
- |
Boting Yang |
|
|
| 013 |
|
- |
Xue-Dong Yang |
|
|
| 014 |
|
- |
Jingtao Yao |
|
|
| 015 |
|
- |
Yiyu Yao |
|
|
| 019 |
|
- |
David Gerhard |
|
|
| 022 |
|
- |
Sandra Zilles |
|
|
| 023 |
|
- |
Orland Hoeber |
|
|
| 024 |
|
- |
Habib Louafi |
|
|
| 025 |
|
- |
Alireza Manashty |
|
|
| 026 |
|
- |
Nashid Shahriar |
|
|
| CS 902 - Project Research |
|---|
| A supervisor approved project requiring an in-depth student investigation of a CS problem. |
| 001 |
|
- |
Cortney Butz |
|
|
| 003 |
|
- |
Lisa Fan |
|
|
| 004 |
|
- |
Howard Hamilton |
|
|
| 010 |
|
- |
Samira Sadaoui-Mouhoub |
|
|
| 015 |
|
- |
Yiyu Yao |
|
|
| 024 |
|
- |
Habib Louafi |
|
|
| 025 |
|
- |
Alireza Manashty |
|
|
