ENMA 6060:  Innovation and Technology

 

Schedule – Spring 2012

 


All course materials are available on-line.  Students attend class on indicated dates (Meet = Y).  No class will be held on remaining dates (Meet = N), but project teams are encouraged to meet on these days during regularly-scheduled class time to work on projects.

 

Students can complete lectures and tutorials at their own pace, but the lecture homework, tutorial assignments, and project deliverables are due on the dates shown below.  Lectures and associated homework, and tutorials and associated assignments, are contained in the .zip folders linked below

 

On days that classes meet, students will present results of lecture homework and tutorial assignments, and present updates on project deliverables.  Course materials will be discussed, and teams will have time to meet to review progress on projects.

 

Wk

Date

Meet

Lecture Homework

Tutorial Assignment

Project Deliverables

 

 

 

DUE

DUE

Due

1

23-Jan

Y

Overview (no homework)

 

0.a.  Overview (no deliverable)

2

30-Jan

N

Introduction

Start-Up

 

3

6-Feb

Y

Decision Trees

Concepts

0.b.  Instructions (no deliverable)

4

13-Feb

N

 

Decision Trees

 

5

20-Feb

Y

Clustering

Clustering

1.a.  Decision Tree Strategy

6

27-Feb

N

 

Naïve Bayes Classifier

1.b.  Decision Tree Model

7

5-Mar

Y

Association

Knowledge Flow

2.a.  Clustering Strategy

8

12-Mar

N

 

Association

2.b.  Clustering Model

9

19-Mar

Y

Neural Networks

Experimenter

3.a.  Naive Bayes Strategy

10

26-Mar

N

 

Neural Networks

3.b.  Naive Bayes Model

11

2-Apr

Y

Genetic Algorithms

 

4.a.  Neural Network Strategy

12

9-Apr

N

 

Genetic Algorithm

4.b.  Neural Network Model

13

16-Apr

Y

Swarm Intelligence

 

5.a.  Final Strategy

14

23-Apr

N

Conclusion

Swarm Intelligence

5.b.  Final Model

15

30-Apr

Y

 

 

6.  Final Presentation

16

7-May

N

 

 

7.  Supplemental Materials

 


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