2024 Fall
COMPSCI 365 001 - LEC 001
Introduction to Instructional Methods in Computer Science for Academic Interns
Justin Yokota, Christopher Todd Hunn
Class #:33795
Units: 2to4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
3
Enrolled: 97
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 Justin Yokota
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.
Class 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.
The class encompasses 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.
Class Notes
* Academic Interns are required to take this class during the same semester they are an AI.
* The class is NOT repeatable.
* Time conflicts are NOT allowed.
* Instructor consent is required to enroll in this class.
* The number of units is determin.. show more
* The class is NOT repeatable.
* Time conflicts are NOT allowed.
* Instructor consent is required to enroll in this class.
* The number of units is determin.. show more
* Academic Interns are required to take this class during the same semester they are an AI.
* The class is NOT repeatable.
* Time conflicts are NOT allowed.
* Instructor consent is required to enroll in this class.
* The number of units is determined by how many hours of fieldwork the Academic Intern performs. Work with the instructor(s) for CS 365 to determine how many units to enroll in.
* Questions? Email CS365@berkeley.edu show less
* The class is NOT repeatable.
* Time conflicts are NOT allowed.
* Instructor consent is required to enroll in this class.
* The number of units is determined by how many hours of fieldwork the Academic Intern performs. Work with the instructor(s) for CS 365 to determine how many units to enroll in.
* Questions? Email CS365@berkeley.edu show less
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