2025 Fall
COMPSCI 365 001 - LEC 001
Introduction to Instructional Methods in Computer Science for Academic Interns
Christopher Todd Hunn
Class #:30432
Units: 2to4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
100
Enrolled: 0
Waitlisted: 0
Capacity: 100
Waitlist Max: 60
No Reserved Seats
Hours & Workload
2 hours of instructor presentation of course materials per week, 1 hours of outside work hours per week, and 3 to 9 hours of instructional activity in non-classroom settings per week.
Other classes by Christopher Todd Hunn
Course Catalog Description
This is a course for aspiring Academic Interns (AIs). It provides pedagogical training and guidance to students by introducing them to the Big Ideas of Teaching and Learning, and how to put them into practice. The course covers what makes a safe learning environment, how students learn, how to guide students toward mastery, and psychosocial factors that can negatively affect even the best students and best teachers. Class covers both theoretical and practical pedagogical aspects of teaching STEM subjects—specifically Computer Science. An integral feature of the course lies in the weekly AI experience that students perform to practice their teaching skills.
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials