Spring 2022 - CMPT 120 D100

Introduction to Computing Science and Programming I (3)

Class Number: 6253

Delivery Method: In Person

Overview

  • Course Times + Location:

    Mo, We 8:30 AM – 9:20 AM
    SWH 10081, Burnaby

    Fr 8:30 AM – 9:20 AM
    SSCB 9201, 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, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. 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. ----------------------------------------------------------------------------------------------------- At the moment of publishing this outline this course is planned to be offered in person, face to face. Details of technology and tools needed in class will be provided the first class of the semester. Please continue to check our course outline for any possible announcements of change of course modality. Should this course be taught remotely, students must have access to a computer with internet access, allowing the use of a conferencing system such as Zoom.

Topics:

  • 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:

There will be assignments and multiple quizzes/exams. A more detailed marking scheme will be provided in the first class of the semester.

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: Interactive Edition
https://runestone.academy/runestone/books/published/thinkcspy/index.html
This interactive text is available online for free

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

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 SPRING 2022

Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.