CSCI252
HUMAN COMPUTER INTERACTION
- Department
- Computer Science
- Terms offered
- 2
- Data refreshed
- Jun 27, 2026
Description
Human-Computer Interaction (HCI) is an evolving field that has revolutionized our interaction with technology over the past four decades. This course aims to equip students with foundational knowledge in HCI and provide practical skills in analyzing user needs, designing interfaces, developing prototypes, and assessing their effectiveness. It emphasizes a wide range of HCI and usability engineering techniques, including Agile Lifecycles, Card Sorting, Persona Development, Sketching and Storyboarding, Prototyping, Accessibility, and Usability Testing. A significant component of the course is a team-based project where students will apply their skills to design innovative applications utilizing emerging Generative AI technologies, such as ChatGPT and Midjourney. This hands-on experience aims to foster a deep understanding of how to create novel, user-centric AI solutions. By the end of the course, students are expected to have developed a comprehensive understanding of HCI principles and practices, and be capable of designing and implementing innovative, human-centered applications that leverage the latest AI technologies.
Syllabi
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Offerings and forecast 2024–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 20% chance, low confidence. Offered in 1 of 3 fall terms since 2024. | 2030 Spring: not enough history to forecast. | 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: 26% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count rising about 14% per year. | 2029 Spring: not enough history to forecast. | 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: 27% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count rising about 14% per year. | 2028 Spring: not enough history to forecast. | 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: 28% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count rising about 13% per year. | 2027 Spring: not enough history to forecast. | 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. |
| 2026 | Not offered | 1 section | Not offered | No data |
| 2025 | Not offered | Not offered | Not offered | Not offered |
| 2024 | 1 section | Not offered | Not offered | Not offered |
Meeting times
Recent first- Mon, Fri, 10:25 AM–11:40 AM MACD117 2026
- Fri, 1:25 PM–4:25 PM MACD117 2024
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Hyungsin Kim (She/Her) | Seminar/Proseminar | 1 | 11 of 24 enrolled | 34679 |
| Fall 2024 | Shuo Niu (He/Him) | Seminar/Proseminar | 1 | 24 of 24 enrolled | 23249 |