2022 Fall
COMPSCI 370 001 - LEC 001
Adaptive Instruction Methods in Computer Science
Christopher Todd Hunn
Class #:28287
Units: 3
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
8
Enrolled: 12
Waitlisted: 0
Capacity: 20
Waitlist Max: 0
No Reserved Seats
Hours & Workload
2 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Other classes by Christopher Todd Hunn
Course Catalog Description
This is a course for aspiring teachers or those who want to instruct with expertise from evidence-based research and proven equity-oriented practices. It provides pedagogical training by introducing the big ideas of teaching and learning, and illustrating how to put them into practice. The course is divided into three sections—instructing the individual; a group; and psycho-social factors that affect learning at any level. These sections are designed to enhance any intern’s, tutor’s, or TA’s teaching skillset. Class is discussion based, and covers theoretical and practical pedagogical aspects to teaching in STEM. An integral feature of the course involves providing weekly tutoring sessions.
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
Associated Sections
None