COS-3300 Computer Architecture
Computer Architecture covers the nature and limitations of computers. The CPU is covered in detail, including processor, control, and memory design. Data path design and the ALU – both fixed and floating-point arithmetic – are covered. The course also includes pipeline and super scalar processing. Finally the I/O system is studied in some detail.
Advisory: It is advisable to have completed two computer science courses prior to enrolling in this course. Also, it would be helpful (but it is not required) for students to take a course in discrete mathematics as a co-requisite. However, it is expected that all students who are taking this course have the mathematical maturity gained in a year of college-level mathematics (such as calculus or discrete mathematics).
Study Methods:
- Guided Study (COS-330-GS):
- Feb 2024, Mar 2024, Apr 2024, May 2024, Jun 2024
- Online Courses (COS-330-OL):
- Feb 2024, Mar 2024, Apr 2024, May 2024, Jun 2024
Credits: 3
Preview the Online Syllabus 
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)
COS-2410 Data Structures
This course involves an investigation of various data structures, including stacks, queues, lists and trees, and searching and sorting techniques.
Advisory: Data Structures is a challenging course. No basic C++ language is taught in this course, so you must know C++ programming language before you begin.
Study Methods:
- Guided Study (COS-241-GS):
- Feb 2024, Mar 2024, Apr 2024, May 2024, Jun 2024
- Online Courses (COS-241-OL):
- Feb 2024, Mar 2024, Apr 2024, May 2024, Jun 2024
Credits: 3
Preview the Online Syllabus
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)
COS-2050 Python Programming
Python Programming enables students to implement fundamental principles of modern programming using the Python programming language and problem-solving techniques related to computing.
Study Methods:
Credits: 3
Preview the Online Syllabus
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)