fullscreen background
Skip to main content

Fall Quarter

Fall Quarter Underway
Late-Start Classes
Still Available
shopping cart icon0


« Back to Professional & Personal Development

CS 05 — Beginning Programming: Python (On-Campus)

Quarter: Fall
Day(s): Mondays
Course Format: On-campus
Duration: 6 weeks
Date(s): Sep 23—Oct 28
Time: 7:00—8:50 pm
Drop Deadline: Oct 6
Unit: 1
Tuition: $410
Instructor(s): Michael McKenna
Limit: 26
7:00—8:50 pm
Sep 23—Oct 28
6 weeks
Drop By
Oct 6
1 Unit
Michael McKenna
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 branching (conditional logic), iteration, functions, and libraries, and some more advanced concepts like application programming interface (API), web crawling, 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 from a spreadsheet into tables based on different traits, to find trends across huge data sets in order to predict outcomes, and even to control smart home devices based on weather, schedules, and other inputs. The course will be a combination of lecture, lab, and at-home assignments. Students will code during class both to apply the lecture content and to begin the at-home 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. Students must be familiar with computer basics and are required to bring a fully charged laptop computer to class.

CS 05, WSP 160, 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, Co-Founder, Dahlia

Michael McKenna works in hardware and software design and engineering in the smart home space. Previously, he 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. He received a BS in mechanical engineering from Stanford with a focus on product design.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.