Course Timetable

Section	Day	Time	Instructor	Exam Date
2023 Winter 2023 Spring/Summer
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