2024 Fall COMPSCI 365 001 LEC 001

2024 Fall

COMPSCI 365 001 - LEC 001

Introduction to Instructional Methods in Computer Science for Academic Interns

Justin Yokota, Christopher Todd Hunn

Aug 28, 2024 - Dec 13, 2024
Fr
12:00 pm - 01:59 pm
Class #:33795
Units: 2to4

Instruction Mode: In-Person Instruction
Time Conflict Enrollment Allowed

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
* 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

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections