MSAI3105
INTRO TO ARTIFICIAL INTELLIGEN
- Department
- Master of Sci in AI
- Terms offered
- 3
- Data refreshed
- Jun 27, 2026
Description
This course provides a foundational introduction to the principles, techniques, and applications of AI. Students will explore AI's role in problem-solving, reasoning, and decision-making across various domains. Key topics include AI algorithms, search methods, logic, and basic machine learning concepts. The course emphasizes practical skills in Python programming, with a focus on implementing AI algorithms using libraries such as NumPy, Pandas, and TensorFlow. Through hands-on coding exercises, students will build AI models, gaining both a theoretical understanding of AI concepts and practical programming experience.
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2025–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 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: not enough history to forecast. | 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: not enough history to forecast. | 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: not enough history to forecast. | 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 | 1 section | 1 section | Not offered | No data for this term |
| 2025 | 1 section | Not offered | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Mon, 6:30 PM–9:30 PM Carlson Hall CH231 2026
- Thu, 2:50 PM–5:50 PM JC204 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Fahd Alhaidari | Lecture | 1 | 4 of 30 enrolled | 24161 |
| Spring 2026 | Ahmed A. ElSayed | Lecture | 1 | 4 of 30 enrolled | 34864 |
| Fall 2025 | Ahmed A. ElSayed | Lecture | 1 | 25 of 30 enrolled | 24161 |