Course details
COMP 1114 is partially discrete mathematics, partially an introduction to linear equations and assumes that students have a good understanding of Grade 12 Mathematics. The purpose of Mathematics for Computing is to give a solid foundation for follow-on technical and programming courses at BCIT. This course is divided in four parts; (1) Number systems and data representation; (2) Boolean algebra and design of logic circuits; (3) Exponential and logarithmic functions; and (4) Matrix methods in Linear algebra. COMP 1114 is equivalent to several full-time diploma courses; COMP 1113 –Applied Mathematics in Computer Systems Technology, CST; MATH 1310 -Technical Math for IT in Computer Information Technology, CIT; MATH 1320 –Mathematics for Computing in Full Stack Web Development, FSWD. Mathematics for Computing is also a required course in the Computer Systems Certificate, CSC and an elective in the Applied Computer information Systems, ACIS associate certificate. Upon successful completion of COMP 1114, students who achieve 60% may move on to the next level; COMP 2121 – Discrete Mathematics and COMP 2825- Computer Architecture.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
4.0
Cost
$586.61
Course offerings
Winter 2023
Below are two offerings of COMP 1114 for the Winter 2023 term.
CRN 90834
Duration
Sat Jan 07 - Sat Apr 01 (12 weeks)
- 12 weeks
- CRN 90834
- $586.61
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 07 - Apr 01 | Sat | 09:00 - 13:00 | Online |
Instructor
Nabil Al-Rousan
Course outline
Cost
$586.61
Important information
- Internet delivery format.
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Course is 48 hours synchronous online classes. Late registration is not permitted. No class on February 18 (Family Day).
Status
In Progress
This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.
CRN 88371
Duration
Tue Jan 10 - Tue Mar 28 (12 weeks)
- 12 weeks
- CRN 88371
- $586.61
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 10 - Mar 28 | Tue | 18:00 - 22:00 | Online |
Instructor
Goran Ruzic
Course outline
Cost
$586.61
Important information
- Internet delivery format.
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Course is 48 hours synchronous online classes. Late registration is not permitted.
Status
In Progress and Full
This course offering is in progress and full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Explain the concept of positional number system.
- Explain how numbers, text and graphics are represented inside the computer memory.
- Perform arithmetic operations with numbers represented in different number systems (binary, octal, and hexadecimal) and different computer representations (1s and 2s complement, Excess, BCD, and floating point representation).
- Explain the Boolean algebra concepts: Boolean variables, basic and derived operators, postulates, algebraic laws and theorems, Boolean expressions and functions.
- Build a corresponding truth table for a Boolean expression.
- Build a Boolean expression from a truth table or from a Min-term/Max term expression.
- Define canonical forms: Sum of Products (SOP) and Product of Sums (POS).
- Simplify Boolean expressions using mathematical proof (Boolean algebra postulates, laws and theorems) and Karnaugh maps.
- Analyze and simplify the works of combinatorial logic circuits.
- Use AND, OR, NOT, NAND, NOR, XOR and XNOR gates to design simple logic circuits.
- Apply mathematical concepts to real life problems by designing logic circuits using Boolean algebra: simple decision systems, adders, comparators, and decoders.
- Solve logarithmic and exponential equations.
- Determine if a system of linear equations has a unique solution (independent), an infinite number of solutions (dependent) or no solution (inconsistent).
- Perform basic operations on matrices: addition and subtraction, multiplication with a scalar, matrix multiplication, and finding the inverse.
- Perform elementary row operations on matrices to find the solutions of a system of linear equations.
- Solve systems of linear equations using determinants and matrices.
- Solve logarithmic and exponential equations.
- Move on to COMP 2121 - Discrete Mathematics and COMP 2825 Computer Architecture.
Effective as of Winter 2021
Related Programs
Mathematics for Computing (COMP 1114) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Computer Information Systems (ACIS)
Associate Certificate Part-time
- Computer Systems
Certificate Part-time
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