0
(
ratings
)
2
students
Created by:
![Profile Photo](https://opencoursa.com/wp-content/uploads/avatars/809/62de1041c5027-bpfull.jpg)
Last updated:
October 10, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
6.825 is a graduate-level introduction to artificial intelligence
Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).
Course Curriculum
- What is Artificial Intelligence (AI)? Unlimited
- Problem Solving and Search Unlimited
- Logic Unlimited
- Satisfiability and Validity Unlimited
- First-Order Logic Unlimited
- Resolution Theorem Proving: Propositional Logic Unlimited
- Resolution Theorem Proving: First Order Logic Unlimited
- Logic Miscellanea Unlimited
- Planning Unlimited
- Partial-Order Planning Algorithms Unlimited
- Graph Plan Unlimited
- Planning Miscellany Unlimited
- Probability Unlimited
- Bayesian Networks Unlimited
- Inference in Bayesian Networks Unlimited
- Where do Bayesian Networks Come From? Unlimited
- Learning With Hidden Variables Unlimited
- Decision Making under Uncertainty Unlimited
- Markov Decision Processes Unlimited
- Reinforcement Learning Unlimited
About the instructor
5
5
Instructor Rating
1
Reviews
1520
Courses
1916
Students
![Profile Photo](https://opencoursa.com/wp-content/uploads/avatars/809/62de1041c5027-bpfull.jpg)
Massachusetts Institute of Technology