CSCI262
COMPUTER VISION
- Department
- Computer Science
- Terms offered
- 3
- Data refreshed
- Jun 27, 2026
Description
This course studies the fundamentals of computer vision and its application to interdisciplinary problems. Students learn about computer vision techniques to create computer systems that analyze images automatically and determine what the computer "sees". The computer vision is then applied to problems in Human-Computer Interaction, for example, to create new interfaces for human users, or in biology or remote sensing for geographic information systems. Students investigate research methods and apply them to creating video-based interactive systems. Students gain practical experience designing, implementing, and testing a project.
Syllabi
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Offerings and forecast 2017–2023
2017 2023
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 16% chance, medium confidence. Offered in 2 of 9 fall terms since 2018. | 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 16% chance, medium confidence. Offered in 2 of 9 fall terms since 2018. | 2029 Spring: 8% chance, medium confidence. Offered in 1 of 10 spring terms since 2017. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 16% chance, medium confidence. Offered in 2 of 9 fall terms since 2018. | 2028 Spring: 8% chance, medium confidence. Offered in 1 of 10 spring terms since 2017. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 16% chance, medium confidence. Offered in 2 of 9 fall terms since 2018. | 2027 Spring: 8% chance, medium confidence. Offered in 1 of 10 spring terms since 2017. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2023 | 1 section | Not offered | Not offered | Not offered |
| 2022 | Not offered | Not offered | Not offered | Not offered |
| 2021 | Not offered | Not offered | Not offered | Not offered |
| 2020 | Not offered | Not offered | Not offered | Not offered |
| 2019 | Not offered | Not offered | Not offered | No data |
| 2018 | 1 section | Not offered | Not offered | No data |
| 2017 | Not offered | 1 section | Not offered | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data
Meeting times
Recent firstNo meeting times.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2023 | Dimitri A. Lisin | Lecture | 1 | 11 of 24 enrolled | 22561 |
| Fall 2018 | John J. Magee IV | Lecture | 1 | 18 of 24 enrolled | 26558 |
| Spring 2017 | John J. Magee IV | Lecture | 1 | 13 of 24 enrolled | 35742 |