Calendar
| LEC # | Topics | KEY DATEs |
|---|---|---|
1 | Principles of Autonomy and Decision Making | |
2 | A Very Brief Introduction to Java® | |
3 |
Formulating Problem Solving as State Space Search Optional Lecture: More Fun with Java® | |
4 | Problem Solving with Java® | Problem set 1 due |
5 | Asymptotic Analysis of Uninformed Search Methods | |
6 | Global Path-Planning via Optimal Search and Shortest Paths | Problem set 2 due |
7 | Roadmaps and Adversarial Games | |
8 | Solving Linear Programs using Simplex | Problem set 3 due |
9 | Kinodymanic Path-Planning using Linear Programs | Problem set 4 due |
10 | Formulating Visual Interpretation using Constraint Programming | |
11 | Solving Constraint Programs using Inference and Search | Problem set 5 due |
12 | Activity Planning and Plan Graphs | |
13 | Plan Extraction in Graph Plan | Problem set 6 due |
Mid-term Examination | ||
14 | Planning and Execution in a Changing World | |
15 | Modelling using Propositional Logic | |
16 | Propositional Satisfiability |
Problem set 7 (problems 1, 2, 4) due 16.413 Final project phase 1 due |
17 | Entailment and Inference in Propositional Logic | |
18 | Model-Based Diagnosis and Conflict-directed Search |
Problem set 7 (problem 3) due Problem set 8 due 16.413 Final project phase II due |
19 | Introduction to Probabilistic Reasoning | |
20 | Probabilistic State Estimation and Robot Localization | |
21 | Formulating Utility-based Agents using Markov Decision Processes | |
22 | 16.413 Student Project Presentations |
Problem set 9 due 16.413 Final project written presentation due 2 days after lecture 22 |
23 | Learning from Observations through Inductive Methods | |
24 | Learning from Observations through Statistical Methods | 16.413 Final project full report due 2 days after lecture 24 |
25 | Making Decisions through Finite Domain Constraint Optimization | Problem set 10 due |
26 | Final Exam Review | |
Final Exam |
