LEC # | TOPICS |
---|---|
1 | Introduction to Medical Decision Support |
2 | Simple Probabilistic Reasoning |
3 | Fuzzy & Rough Sets - Part 1 |
4 | Fuzzy & Rough Sets - Part 2 |
5 | Bayesian Networks - Part 1: Representation & Reasoning |
6 | Bayesian Networks - Part 2: Learning From Data |
7 | Logistic Regression - Part 1 |
8 | Logistic Regression - Part 2 |
9 | Unsupervised Learning |
10 | Classification Trees & CART |
11 | Artificial Neural Networks |
12 | Support Vector Machines |
13 | Evaluation of Predictive Models - Part 1 |
14 | Evaluation of Predictive Models - Part 2 |
15 | Optimization and Complexity |
16 | Survival Analysis |
17 | Review of Predictive Methods |
Midterm Exam | |
18 | Review of Complexity |
19 | Applied Informatics in Cardiology |
20 | Review of Clustering |
21 | Student Presentations |
22 | Student Presentations |
23 | Student Presentations |
Calendar
Course Info
As Taught In
Spring
2003
Level
Topics
Learning Resource Types
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Problem Sets with Solutions
grading
Exams
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Lecture Notes
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Programming Assignments