CS 3700: Foundations of AI Reasoning and Decision-Making
CS 3700 is Cornell's introduction to artificial intelligence. You'll study how agents search for solutions (A*, minimax), handle constraints, reason under uncertainty with Bayesian networks and Markov decision processes, and learn from experience through…
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Common aliases: CS 3700
Study Resources for Foundations of AI Reasoning and Decision-Making
Final Exam 2014
Midterm (Exam 1) 2012
Midterm (Exam 2) 2015
Midterm (Exam 1) 2014
Midterm (Exam 1) 2017
Quiz 3
Assessment Inventory for CS 3700 (6 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2017 | Midterm | 2017 | Illustrative Archive |
| Midterm (Exam 2) 2015 | Midterm | 2015 | Illustrative Archive |
| Final Exam 2014 | Final | 2014 | Illustrative Archive |
| Midterm (Exam 1) 2014 | Midterm | 2014 | Illustrative Archive |
| Midterm (Exam 1) 2012 | Midterm | 2012 | Illustrative Archive |
| Quiz 3 | Quiz | — | Illustrative Archive |
Complete inventory of all 6 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
Course Description
CS 3700 is Cornell's introduction to artificial intelligence. You'll study how agents search for solutions (A*, minimax), handle constraints, reason under uncertainty with Bayesian networks and Markov decision processes, and learn from experience through reinforcement learning.
This archive catalogs 6 free educational resources and past exams for CS 3700 (Foundations of AI Reasoning and Decision-Making) at Cornell University, containing 4 midterm papers, 1 final examination, and 1 quiz. Dated documents represent 4 distinct academic years between 2012 and 2017.
Core Exam Topics & Learning Objectives
- Uninformed and informed search: BFS, DFS, Uniform-Cost Search, A*, and heuristic design
- Constraint satisfaction problems (CSPs): backtracking, arc consistency, and forward checking
- Adversarial search: minimax, alpha-beta pruning, and expectimax for stochastic games
- Probabilistic reasoning: Bayesian networks, conditional independence, and variable elimination
- Markov decision processes (MDPs): value iteration, policy iteration, and reward shaping
- Introduction to reinforcement learning: Q-learning, exploration vs. exploitation, and temporal difference methods
Frequently Asked Questions
Which assessment formats are cataloged in this CS 3700 archive?
This collection for CS 3700 at Cornell University catalogs 6 total resources across the following formats: Midterms, Finals, Quizzes. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this CS 3700 collection?
Dated materials in this archive span from 2012 to 2017, representing 4 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free CS 3700 past exams?
All cataloged CS 3700 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Cornell University course syllabus.