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CS 05 — Beginning Programming in Python: A Six-Week Course

Quarter: Fall
Day(s): Wednesdays
Course Format: Live Online (About Formats)
Duration: 6 weeks
Date(s): Sep 23—Oct 28
Time: 7:00—8:50 pm (PT)
Drop Deadline: Sep 25
Unit: 1
Tuition: $415
Instructor(s): Michael McKenna
Limit: 26
Status: Closed
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Fall
Live Online(About Formats)
Wednesdays
7:00—8:50 pm (PT)
Date(s)
Sep 23—Oct 28
6 weeks
Drop By
Sep 25
1 Unit
Fees
$415
Instructor(s):
Michael McKenna
Limit
26
Closed
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Learn to program in Python even with no computer science experience. This course will introduce students to computer science and the fundamental syntax and methodologies of the Python language. Students will come away with skills in the basic concepts like iteration, functions, and libraries, and some more advanced concepts like application programming interface (API) and interactive programs. We will use these fundamentals and advanced skills to develop real-world applications. For example, we will build programs to sort a list of party guests, to find trends across huge data sets from spreadsheets, to predict stock outcomes, and even to control smart-home devices based on weather. The course will be a combination of lecture and assignments. Students will code during class both to apply the lecture content and to begin the assignments. For the final assignment, students will build a program that includes the topics covered in class but goes beyond the scope of the previous assignments.

No programming experience is necessary. WSP 160, CS 05, and CS 46 W will cover similar introductory content. As these courses will be taught by different instructors, their structure and format will vary slightly.

Michael McKenna, Product Manager, KiwiCo

Michael McKenna has co-founded and sold a smart-home company, and has worked as a spacecraft engineer and a robotic fleet technical lead. He has conducted research at Northwestern and Stanford on topics ranging from robotic surgery to net-zero-energy homes and autonomous vehicle user interactions.
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)