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Visual Computing
The graduate diploma in visual computing is a professional graduate program that provides a hands-on introduction to computing technology relevant to visual computing, deep learning, computer vision, etc. ensuring that participants acquire the essential skills and knowledge needed to contribute to the fast-growing area of visual computing.
大象传媒 Requirements
Applicants must satisfy the university admission requirements as stated in Graduate General Regulation 1.3 in the 大象传媒 Calendar. A bachelor's degree or equivalent in computing science or a related field is required. Students admitted to the master of visual computing may transfer to the graduate diploma in visual computing at any time with the permission of the graduate program committee and graduate studies.
Program Requirements
This program consists of course work for a minimum of 22 units. The program requires students to maintain a minimum 2.5 CGPA throughout their graduate career.
Students complete all of
Machine Learning is the study of computer algorithms that improve automatically through experience. Provides students who conduct research in machine learning, or use it in their research, with a grounding in both the theoretical justification for, and practical application of, machine learning algorithms. Covers techniques in supervised and unsupervised learning, the graphical model formalism, and algorithms for combining models. Students who have taken CMPT 882 (Machine Learning) in 2007 or earlier may not take CMPT 726 for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Mo Chen |
Sep 3 鈥� Dec 2, 2025: Wed, 3:30鈥�4:20 p.m.
Sep 3 鈥� Dec 2, 2025: Fri, 2:30鈥�4:20 p.m. |
Burnaby Burnaby |
Lab practices, combined with instructional offerings, for students to acquire the hands-on experience necessary for a successful career in Visual Computing in the information technology sector. Topics covered will include fundamental and prevalent problems from application domains in the fields of computer graphics, computer vision, human-computer interaction, medical image analysis, as well as visualization. Prerequisite: This course is only available to students enrolled in the master of visual computing program.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Ali Mahdavi Amiri |
Sep 3 鈥� Dec 2, 2025: Mon, 10:30 a.m.鈥�1:20 p.m.
|
Burnaby |
|
| G101 |
Ali Mahdavi Amiri |
Sep 3 鈥� Dec 2, 2025: Fri, 10:30 a.m.鈥�1:20 p.m.
|
Burnaby |
Lab practices, combined with instructional offerings, for students to acquire the hands-on experience necessary for a successful career in Visual Computing in the information technology sector. Topics covered will include fundamental and prevalent problems from application domains in the fields of computer graphics, computer vision, human-computer interaction, medical image analysis, as well as visualization. Prerequisite: CMPT 742. This course is only available to students enrolled in the master of visual computing program.
Students will learn principles and techniques for processing various data types at real-world scale using distributed and cloud computing resources. Fundamentals of approximation and distributed algorithms will be covered. Handling of large-scale image and video datasets, massive graphs, as well as structured and unstructured text datasets will be studied. Designing and building robust software systems using multicore processors, processor accelerators (e.g., Graphics Processing Units) and cloud resources will be introduced.
and three units of graduate courses in computing science
and
Students prepare a portfolio of their works in the area of visual computing including work from lab courses. Graded on a satisfactory/unsatisfactory basis. Prerequisite: CMPT 743.
or
an additional three units of graduate courses in computing science
* In CMPT 791, students prepare a portfolio of their works in the area of visual computing including completed projects and assignments from the visual computing lab courses and other relevant courses, as well as contributions to other projects. The portfolio is examined by at least two readers from the professional graduate programs committee.
Program Length
We expect that full-time students can complete the graduate diploma in visual computing in three terms.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfy the academic requirements that are specified in the Graduate General Regulations, as well as the specific requirements for the program in which they are enrolled.