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COMP 1113 - Applied Mathematics

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

Comp 1113 is partially discrete mathematics, partially an introduction to linear equations. The purpose of this course is to give a strong foundation for future technical and programming courses. The course is divided into three parts: (1) Boolean algebra and design of logic circuits; (2) number systems and data representation; and (3) functions, linear equations, vectors and matrices.

Credits

4.0

Cost

$579.63

Fall 2019

Below are two offerings of this course for the Fall 2019 term.

CRN 41347

Sat Sep 07 - Sat Dec 07 12 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 07 - Dec 07 Sat 09:00 - 13:00 BBY SW01 Rm. 3570

Instructor

Goran Ruzic

Course Outline

Cost

$579.63

Notes

  1. Late registration is not permitted. No class October 12 (Thanksgiving) and November 9 (Remembrance Day).

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

CRN 45919

Sat Sep 07 - Sat Dec 07 12 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 07 - Dec 07 Sat 14:00 - 18:00 BBY SW09 Rm. 110

Instructor

Simin Sadat Chavoshi Jolfaee

Course Outline

Cost

$579.63

Notes

  1. Late registration is not permitted. No class on October 12 (Thanksgiving) and November 9 (Remembrance Day).

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.

In Progress and Full

Winter 2020

Below are three offerings of this course for the Winter 2020 term.

CRN 43402

Sat Jan 11 - Sat Apr 04 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 11 - Apr 04 Sat 09:00 - 13:00 BBY SW01 Rm. 3190

Instructor

Goran Ruzic

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$579.63

Notes

  1. This course is equivalent to the Computer Systems Technology Diploma Full-time course. Late registration is not permitted. No class on February 15 (Family Day).

This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Full

CRN 82340

Sat Jan 11 - Sat Apr 04 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 11 - Apr 04 Sat 09:00 - 13:00 BBY SW09 Rm. 110

Instructor

Simin Sadat Chavoshi Jolfaee

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$579.63

Notes

  1. This course is equivalent to the Computer Systems Technology Diploma Full-time course. Late registration is not permitted. No class on February 15 (Family Day).

This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Full

CRN 85286

Sat Jan 11 - Sat Apr 04 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 11 - Apr 04 Sat 14:00 - 18:00 BBY SW09 Rm. 110

Instructor

Simin Sadat Chavoshi Jolfaee

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$579.63

Notes

  1. This course is equivalent to the Computer Systems Technology Diploma Full-time course. Late registration is not permitted. No class on February 15 (Family Day).

This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Full

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Explain the Boolean algebra concepts: values of TRUE and FALSE, basic and derived operators, postulates, algebraic laws and theorems, Boolean expressions and functions.
  • Compare and contrast combinational and sequential circuits.
  • Build a corresponding truth table for a Boolean expression.
  • Build a Boolean expression from a truth table.
  • 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.
  • Apply mathematical concepts in real life problems by designing logic circuits using Boolean algebra: simple decision systems, adders, comparators, and decoders.
  • Explain the concept of positional number system.
  • Explain how numbers, text and graphics are represented inside the computer.
  • 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).
  • Decide 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, multiplication, and finding the inverse.
  • Solve systems of linear equations with three unknowns using algebraic methods, determinants (Cramer’s rule) and matrices.

Effective as of Fall 2015

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