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Section | Day | Time | Instructor | Exam Date | Delivery |
---|
CS 805 - Computer Graphics |
Geometric and other advanced modelling techniques; image rendering and synthesis techniques; interactive graphics; issues in computer animation. Prior to registering in this course, students should have a background in computer graphics comparable to the senior undergraduate level. |
001 |
TR |
10:00am - 11:15am |
Xue-Dong Yang |
20-APR-23 |
|
CS 830 - Machine Learning |
Models of learning; inductive inference; constructive and selective induction; learning from examples; explanation-based learning; machine discovery; grammatical inference; knowledge acquisition; applications. Prior to registering for this course, students should have a background in artificial intelligence comparable to the senior undergraduate level. |
001 |
|
- |
Sandra Zilles |
|
|
CS 836 - Rough Sets & Applications |
Theory of rough sets is a fundamental mathematical methodology for modelling classification or decision problems involving imprecise or uncertain information. Its implications include pattern classification, data mining, machine learning, control algorithm acquisition from data, circuit design and others. The course will provide the basics of the methodology and will include the study of the above applications of rough sets. Prior to registering for this course, students should have a background in discrete computational structures, artificial intelligence and statistical methods comparable to the senior undergraduate level. |
001 |
TR |
1:00pm - 2:15pm |
Yiyu Yao |
20-APR-23 |
|
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 |
TR |
2:30pm - 3:45pm |
Orland Hoeber |
18-APR-23 |
|
CS 890BN - Cryptography and Data Security |
Mathematical background of Cryptography, cryptographic protocols and techniques, symmetric-key cryptography algorithms and securtiy analysis. One-way hash functions and public-key algorithms. Examples of cryptographic systems. |
001 |
R |
7:00pm - 9:45pm |
Qian Yu |
|
|
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 890EF - Advanced Topics in Data Mining |
Data Mining uses machine learning, statistical and visualization techniques to discover and present knowledge in a form which is easily comprehensible to humans. This course will focus on the theory and applications of Data Mining particulary on email systems . |
001 |
|
- |
Howard Hamilton |
|
|
CS 890EU - Foundations of Modern Networking |
Architectures, algorithmic solutions, and protocols for modern networking technologies such as Software-Defined Networking (SDN), Network Virtualization, Network Functions Virtualization (NFV), 4G and 5G Mobile Networks, Cloud and Data Center Networks, Optical Networks, and Internet of Things (IoT). |
001 |
|
- |
Nashid Shahriar |
|
|
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 |
MWF |
3:30pm - 4:20pm |
Yiyu Yao |
|
|
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 |
|
|
012 |
|
- |
Boting Yang |
|
|
014 |
|
- |
Jingtao Yao |
|
|
015 |
|
- |
Yiyu Yao |
|
|
022 |
|
- |
Sandra Zilles |
|
|
023 |
|
- |
Orland Hoeber |
|
|
024 |
|
- |
Habib Louafi |
|
|
025 |
|
- |
Alireza Manashty |
|
|
026 |
|
- |
Nashid Shahriar |
|
|