CPSC656
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Machine Learning in Biometric and Cybersecurity
Computer Science
SC - Faculty of Science
Subject
CPSC - Computer Science
Description
Principles of machine learning in biometric system design. Multi-modal, trustworthy and fuzzy decision fusion. Traditional machine learning methods and modern deep learning architectures. Applications in image processing, pattern recognition, data mining, medicine, human-computer interaction, oil and gas exploration, defense and cybersecurity.
Antirequisite(s): Credit for Computer Science 656 and 556 will not be allowed.
Also known as: (formerly Computer Science 601.57)
Antirequisite(s): Credit for Computer Science 656 and 556 will not be allowed.
Also known as: (formerly Computer Science 601.57)
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -B, GFC Hours (3-0)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Units
3
Repeat for Credit
No
Subject code
CPSC
Understanding Course Information
Please refer to Course Terminology and Description to better understand how to interpret course information such as GFC hours, prerequisites, course levels, etc.
Note that not all courses are offered every term or every year. Please refer to the Schedule of Classes or Schedule Builder to see active class offerings.