Spring 2023 - CMPT 120 D200
Introduction to Computing Science and Programming I (3)
Class Number: 6491
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 1:20 PM
WMC 3520, Burnaby
Th 12:30 PM – 2:20 PM
RCB IMAGTH, Burnaby
Exam Times + Location:
Apr 21, 2023
12:00 PM – 3:00 PM
SSCB 9200, Burnaby
Apr 21, 2023
12:00 PM – 3:00 PM
SSCB 9201, Burnaby
Prerequisites:BC Math 12 or equivalent is recommended.
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.
* 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.
This course will be offered in person, face-to-face. Details of technology and tools needed in class and for tests will be provided the first class of the semester. All the course information and communication will be centralized in the Canvas course website which will be available by the first day of class, including class materials, readings, assignments, and points. Students should ensure that they receive notifications when announcements are posted on Canvas.
- 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
There will be assignments and multiple quizzes/exams. A more detailed marking scheme and technology details will be provided in the first class of the semester.
MATERIALS + SUPPLIES:
- 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
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
Free Download: http://greenteapress.com/thinkpython2/thinkpython2.pdf
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website 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