2023 Fall COMPSCI 180 001 LEC 001

2023 Fall

COMPSCI 180 001 - LEC 001

Intro to Computer Vision and Computational Photography

Angjoo Kanazawa, Alexei Efros

Aug 23, 2023 - Dec 08, 2023
Mo, We
05:00 pm - 06:29 pm
Class #:33471
Units: 4

Instruction Mode: In-Person Instruction

Current Enrollment

Total Open Seats: 14
Enrolled: 186
Waitlisted: 0
Capacity: 200
Waitlist Max: 150
Open Reserved Seats:
24 reserved for Electrical Engineering and Computer Sciences (EECS), EECS/Nuclear Engineering, EECS/Materials Science and Engineering, or Computer Science Majors

Hours & Workload

3 hours of instructor presentation of course materials per week, 10 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.

Final Exam

FRI, DECEMBER 15TH
03:00 pm - 06:00 pm
Hearst Gym 220
Hearst Gym 237

Other classes by Angjoo Kanazawa

Other classes by Alexei Efros

Course Catalog Description

This advanced undergraduate course introduces students to computing with visual data (images and video). We will cover acquisition, representation, and manipulation of visual information from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography). Key algorithms will be presented, ranging from classical to contemporary, with an emphasis on using these techniques to build practical systems. The hands-on emphasis will be reflected in the programming assignments, where students will acquire their own images and develop, largely from scratch, image analysis and synthesis tools for real-world applications.

Class Notes

* Time conflicts with this class will NOT be allowed.

*Prerequisites: CS61B and (Math 54, Math 110, or EE 16A+16B)

*Co-requisites: CS182 or CS189

Rules & Requirements

Requisites

  • Undergraduate Students: College of Engineering declared majors and L&S Computer Science

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

Open Reserved Seats:
24 reserved for Electrical Engineering and Computer Sciences (EECS), EECS/Nuclear Engineering, EECS/Materials Science and Engineering, or Computer Science Majors

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

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