6.034 | Spring 2005 | Undergraduate

Artificial Intelligence


The calendar below provides information on the course’s lecture (L), recitation (R), and quiz (Q) sessions.

The online tutor for 6.034 contains the assignments for this course. Note that the order of the assignments varies from the order of the topics listed below.

L1 Introduction
R1 Scheme Review and Matching
L2 Search
L3 Search (cont.)
R2 Searches
L4 Constraint Satisfaction
L5 Games
R3 Constraint Satisfaction Problems (CSP) and Games
L6 Learning as Search
L7 Formulating Search
R4 Design Project 1
L8 Decision Trees
L9 Naïve Bayes
R5 Design Project 1 Presentation and Question-Answer
Q1 Quiz 1
L10 Continuous Features
R6 Naïve Bayes and Nearest Neighbor
L11 Linear Separators
L12 Neural Nets
R7 Support Vector Machines (SVM)
L13 Support Vector Machines (SVM)
L14 Feature and Model Selection
R8 Problem Set Review
Q2 Quiz 2
L15 Formulating Learning
R9 Introduction to Logic
L16 Introduction to Logic and Representation
L17 Propositional Logic
R10 Design Project 2 Presentation and Question-Answer
L18 Introduction to Natural Language Processing
R11 Logic and Proof
L19 First Order Logic
L20 First Order Logic (cont.)
R12 Syntax and Semantics
L21 Rules
L22 Language
R13 Problem Set Review
L23 Language
L24 Conclusion
  Final Exam

Course Info

Learning Resource Types
Lecture Notes