Summer 2019 - CMPT 120 D100

Introduction to Computing Science and Programming I (3)

Class Number: 4774

Delivery Method: In Person

Overview

  • Course Times + Location:

    Mo, We, Fr 9:30 AM – 10:20 AM
    AQ 3181, Burnaby

  • Exam Times + Location:

    Aug 11, 2019
    3:30 PM – 6:30 PM
    RCB IMAGTH, Burnaby

  • Prerequisites:

    BC Math 12 or equivalent is recommended.

Description

CALENDAR DESCRIPTION:

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. Treatment is informal and programming is presented as a problem-solving tool. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

COURSE DETAILS:

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. CMPT 120 PLACEMENT TEST – do you have enough computing knowledge to pass our placement test? Have you taken Computing Science courses in High School or elsewhere? Have you worked in a business or volunteered as a computer programmer? Have you written programs of 200-300 lines of code or more? IF YES you may NOT have to take CMPT 120 and could enroll directly into the next required courses – CMPT 125 and 127. Challenge yourself and take our placement test. https://courses.cs.sfu.ca/forms/cmpt-cmpt-120-placement-test/ IF NO – please go ahead and enroll in CMPT 120 – don’t forget to choose your lab before you try to enroll.

Topics

  • History of computing science
  • Algorithms and computational thinking
  • Procedural programming in Python
  • Data types and control structures
  • Application areas within computing science
  • Fundamental algorithms, including searching, sorting, basics of recursion
  • Computability and complexity, introduction
  • Basics of binary encoding

Grading

NOTES:

To be discussed during the first week of classes 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).

Materials

MATERIALS + SUPPLIES:

Reference Books

  • Computer Science Illuminated, Nell Dale, John Lewis, Jones & Bartlett, 2012, 9781449672843
  • Starting out with Programming Logic and Design, Tony Gaddis, Pearson, 2015, 9780133985078
  • Starting Out with Python-4th Edition, Tony Gaddis, Pearson, 2017, 9780134543666

REQUIRED READING:

  • Think Python - How to Think Like a Computer Scientist 
  • Allen Downey
  • Green Tea Press
Free Download:
http://greenteapress.com/thinkpython2/thinkpython2.pdf

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS