Optimization
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Schedule For Winter 2015 [all the course material will be available on UW LEARN system]

ID
Date
Lectures
1
Jan. 6
Course Presentation
2
Jan. 8
Introduction to machine intelligence
3
Jan. 13
Handling uncertainty using Bayesian framework-I
4
Jan. 15
Handling uncertainty using Bayesian framework-II
5
Jan. 16
Project Selection Deadline
6
Jan. 20
Handling uncertainty using Bayesian framework-III
7
Jan. 22
Guest Lecture: Speech Recognition by Dr. Colin Wightman, CTO, Vestec Inc.
8
Jan. 27
Dealing with vagueness using fuzzy logic-I
9
Jan. 29
Dealing with vagueness using fuzzy logic-II
10
Feb. 2
SOW due date
11
Feb. 3
Problem solving via trajectory-based metaheuristics
12
Feb. 5
Problem solving via population-based metaheuristics-I
13
Feb. 6
Quiz #1
14
Feb. 10
Problem solving via population-based metaheuristics-II
15
Feb. 12
Problem solving via population-based metaheuristics-III
16
Feb. 16-20
Reading Week
17
Feb. 24
Problem solving via population-based metaheuristics-IV
18
Feb. 26
Making decisions under uncertainty using decision trees
19
Feb. 27
Mid-term report submission
20
Mar. 3
Decision tree learning
21
Mar. 5
Learning from Examples using neural networks-I
22
Mar. 6
Quiz #2
23
Mar. 10
Learning from Examples using neural networks-II
24
Mar. 12
Learning from Examples using neural networks-III
25
Mar. 17
Learning from Observation using reinforcement learning-I
26
Mar. 19
Learning from Observation using reinforcement learning-II
27
Mar. 24
Guest Lecture- Support Vector Machines: The Triumph of Mathematics by
Professor Hamid R. Tizhoosh, Systems Design Engineering - University of Waterloo
28
Mar. 26
Hybrid intelligent systems
29
Mar. 27
Quiz #3
30
Mar. 29
Coure Project Paper Submission
31
Mar. 31
Project Presentations
32
Apr. 2
Project Presentations
33
Apr. 6 [Last Class]
Lectures/classes end
34
Apr. 7-9
Pre-examination study days
35
Apr. 10-25
On-campus examinations begin
36
Apr. 27
Unofficial Grades begin to appear