Course Timetable

Section	Day	Time	Instructor	Exam Date	Delivery
2022 Winter 2022 Spring/Summer
CS 815 - Computer Vision
Sensing techniques; sensing data pre-processing; higher level scene description; model-based recognition; motion analysis. Prior to registering in this course, students should have a background in image processing comparable to the senior undergraduate level.
001	TR	4:30pm - 5:45pm	Gurmail Singh
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	W	2:00pm - 3:15pm	Malek Mouhoub	20-APR-22	BLEND
001		-	Malek Mouhoub	20-APR-22	BLEND
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	10:00am - 11:15am	Yiyu Yao	14-APR-22
CS 855 - Mobile Computing
Mobile Computing focuses on conducting research in the design, development, and evaluation of software in a networked mobile environment. The primary topics to be covered in the course include network computing, graphics programming, human-computer interaction, and evaluation methods, all focused on the challenges and opportunities afforded by modern mobile computing devices.
001	MWF	10:30am - 11:20am	Trevor Tomesh	22-APR-22	HYFLX
CS 872 - Software Engineering
Review of fundamental concepts; project planning; requirements analysis; program design, implementation and testing; object-oriented development; metrics and cost estimation; software reuse; CASE technology; configuration management; software engineering and Ada. * Note: Prior to registering in this course, students should have a background in software engineering methodology comparable to the senior undergraduate level. *
001	TR	11:30am - 12:45pm	Samira Sadaoui-Mouhoub	26-APR-22	RLDS
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	T	7:00pm - 9:45pm	Qian Yu
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 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	TR	2:30pm - 3:45pm	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	1:30pm - 2:20pm	Daryl Hepting
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		-	STAFF
026		-	Nashid Shahriar
040	W	2:30pm - 4:20pm	Howard Hamilton		RLDS
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
005		-	Daryl Hepting
006		-	Alireza Manashty
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