MATH 1651: Mathematics for Computing Science
This course introduces further mathematical concepts used in Computing Science. Topics include vectors and matrices; geometry; sets, relations, and functions; logic, circuits, and number systems; counting and probability; random variables; and decision analysis.
Learning outcomes
- Solve problems with vectors.
- Solve problems with matrices.
- Use geometrical coordinate systems to represent linear transformations.
- Analyze sets, relations, and functions.
- Apply logic to statements and circuits.
- Solve counting and discrete probability problems.
- Analyze random variables and decision problems.
Course topics
- Module 1: Vectors
- Module 2: Matrices
- Module 3: Geometry
- Module 4: Sets, Relations, and Functions
- Module 5: Logic, Circuits, and Number Systems
- Module 6: Counting and Probability
- Module 7: Random Variables and Decision Analysis
Required text and materials
The following materials are required for this course:
- Thompson Rivers University. (2017). Mathematics for Computing Science, MATH 1650/1651 (Custom publication for Thompson Rivers University). Toronto: Nelson Education Ltd. ISBN: 978-0-17-676509-5
Type: Custom Textbook. ISBN: 978-0-17-676509-5
Note: So that students can benefit by purchasing only the content they require for this course, the custom text has been compiled from three separate textbooks:
- Poole, David. (2015). Linear Algebra: A Modern Introduction (4th ed.). Toronto: Nelson Education Ltd.
- Epp, Susanna S. (2011). Discrete Mathematics with Applications (4th ed.). Toronto: Nelson Education Ltd.
- Anderson, D. R., Camm, J. D., Cochran, J.J., Sweeney, D. J., Williams, T. A., (2017). Statistics for Business & Economics (13th ed.). Toronto: Nelson Education Ltd.
Assessments
Please be aware that should your course have a final exam, you are responsible for the fee to the online proctoring service, ProctorU, or to the in-person approved Testing Centre. Please contact exams@tru.ca with any questions about this.
To successfully complete this course, students must achieve a passing grade of 50% or higher on the overall course, and 50% or higher on the final mandatory examination.
| Quiz 1 - 4 | 4% |
| Assignment 1 (covering Modules 1–3) | 8% |
| Test 1 (covering Modules 1–3) | 8% |
| Quiz 5 – 7 | 3% |
| Assignment 2 (covering Modules 4–5) | 6% |
| Test 2 (covering Modules 4–5) | 6% |
| Quiz 8 - 12 | 5% |
| Assignment 3 (covering Modules 6–7) | 10% |
| Test 3 (covering Modules 6–7) | 10% |
| Final Exam (mandatory) | 40% |
| Total | 100% |
Open Learning Faculty Member Information
An Open Learning Faculty Member is available to assist students. Students will receive the necessary contact information at the start of the course.
