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Center

Note:

  1. Schedule is subject to change.
  2. Penn State Spring 20 Schedule.

Week

Date

LectureSlidesAssignments

1

1/14

Course overview 

0-class-intro.pptx

python-setup.pptx

 

 

1/16

Introduction to classification  

2

1/21

Python tutorial  
 1/23Decision tree I  

3

1/28

Decision tree II  

 

1/30

Lab 1  

4

2/4

Project idea; Overview of most common techniques, processes, and applications  

 

2/6

Overview of writing and presentation Lab 1 due

5

2/11

Regression I  

 

2/13

Regression II Project proposal due

6

2/18

Regression III  

 

2/20

Lab 2  

7

2/25

Project discussion: proposal  

 

2/27

Applied data sciences invited talk Lab 2 due

8

3/3

Integration of predictive modeling and domain knowledge: Student presentation 1  
 3/5Integration of predictive modeling and domain knowledge: Student presentation 2  
93/8-14Spring break - No class  

10

3/17

Neural network I  
 3/19Neural network II Project midterm report due

11

3/24

Neural network III  

 

3/26

Lab 3  

12

3/31

Project discussion: midterm report  

 

4/2

Applied data sciences invited talk Lab 3 due

13

4/7

Integration of predictive modeling and domain knowledge: Student presentation 3  

 

4/9

Integration of predictive modeling and domain knowledge: Student presentation 4  

14

4/14

Integration of predictive modeling and domain knowledge: Student presentation 5  

 

4/16

Integration of predictive modeling and domain knowledge: Student presentation 6  

15

4/21

Project  

 

4/23

Project  

16

4/28

Project final presentation  

 

4/30

Project final presentation Project final report due