MW 10:10am–11:25am · MW 8:40am–9:55am
2 distinct times across 2 sections.
2 of 2 sections have room
Open to Engineering:Undergraduate, Engineering:Graduate
Description
Introduces modern artificial intelligence (AI), focus on applications to operations and decision-making in domains such as healthcare, finance, energy systems, and supply chain management. Topics: machine learning, neural networks, large language models (LLMs), reinforcement learning, game theory, multi-agent systems, and agentic frameworks.
Reviews
Course experience
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Instructor quality
n=4, 2024–2025
Aggregated across every course Eric Balkanski has taught.
Teaching quality
4.0 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
3.5 / 5 · Hard
Overall sentiment
Positive
Sections2
Shipra Agrawal · Eric Balkanski
MW 10:10am–11:25am · PUPIN LABORATORIES PUP 428Open to: Engineering:Undergraduate, Engineering:Graduate
17 of 70 seats leftSeat data provenance: Directory as of August 23, 2026 at 4:00 AM
Eric Balkanski · Shipra Agrawal
MW 8:40am–9:55am · MATHEMATICS BUILDING MAT 20340 of 100 seats leftSeat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Standard
- Format
- SEMINAR · In-Person
- Credits
- 3 credits
Reported workload
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