Fall 2020 - CMPT 128 D100

Introduction to Computing Science and Programming for Engineers (3)

Class Number: 6220

Delivery Method: In Person


  • Course Times + Location:

    Mo, We, Fr 11:30 AM – 12:20 PM

  • Exam Times + Location:

    Dec 18, 2020
    12:00 PM – 3:00 PM

  • Prerequisites:

    BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157).



An introduction to computing science and computer programming, suitable for students wishing to major in Engineering Science or a related program. This course introduces basic computing science concepts, and fundamentals of object oriented programming. Topics include: fundamental algorithms and problem solving; abstract data types and elementary data structures; basic object-oriented programming and software design; elements of empirical and theoretical algorithmics; computation and computability; specification and program correctness; and history of computing science. The course will use a programming language commonly used in Engineering Science. Students with credit for CMPT 102, 120, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 135, or CMPT 200 or higher first may not then take this course for further credit. Quantitative/Breadth-Science.


This course is a rigorous introduction to computing science and computer programming, suitable for engineering students. Students will learn fundamental concepts of computing science as well as develop basic skills in software development, with application to engineering problems.


  • Computer Systems, Algorithms, Program design and development, Programming tools
  • Basic data types, Representation of values of variables, Conversion between data types
  • Variables, arithmetic, logical and relational operators, Input and Output,
  • Functions, arguments, return values, scope,
  • Control structures: decision and repetition structures
  • 1D and 2D Arrays, structures, strings
  • Dynamic memory allocation and pointers
  • Recursion, Searching and Sorting, Anallyzing and Comparing Algorithms (Big 0)


  • To be finalized during the first week. Preliminary: 30% Assignments and Lab Exercises, 30% in class/in lab quizzes and 40% Final Exam. Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).



Intro to Computing Science & Programming for Engineers (custom textbook), Multiple, Pearson, 2017, custom textbook
ISBN: 9781323688816

Registrar Notes:


SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html


Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).