Spring 2019 Course Syllabus: Math 478/678
Course Title: |
Introduction to Statistical Methods in Data Science |
Textbook: |
An Introduction to Statistical Learning: with Applications in R, by Gareth James, et al.; Publisher: Springer, 1st edition (2013); ISBN: 978-1461471370. |
Reference
book: |
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, by Hastie, Tibshirani, and Friedman; Publisher: Springer, 2nd edition (2009); ISBN: 978-0387848570. |
Prerequisites: |
Math 333 with a grade of C or better or Math 341 with a grade of C or better |
Course
Outline |
||||
Date |
Lecture |
Sections |
Topic |
Assignment |
Week 1 1/24 |
1 |
Chapter 1
|
Introduction to Data Science
|
|
Week 2 1/28 |
2 |
Chapter 2 |
Statistical Learning |
Homework 1 |
Week 3 2/4 |
3 |
Chapter 3 |
KNN; R Lab
|
|
Week 4 2/11 |
4 |
Chapter 3 |
Linear Regression; R Lab |
Homework 2 |
Week 5 2/18 |
5 |
Chapter 4 |
Logistic Regression; R Lab |
|
Week 6 2/25 |
6 |
Chapter 4 |
Linear Discriminant Analysis; R Lab |
Homework 3 |
Week 7 3/4 |
|
|
Cross-Validation
MIDTERM EXAM: Thursday ~ March 7, 2019 |
|
Week 8 3/11 |
7 |
Chapter 5 |
The Bootstrap; R Lab |
|
Week 9 3/18 |
|
|
SPRING RECESS (NO CLASSES) |
|
Week 10 3/25 |
8 |
Chapter 6 |
Variable Selection; R Lab |
Homework 4
|
Week 11 4/1 |
9 |
Chapter 6 |
Regularization; R Lab |
|
Week 12 4/8 |
10 |
Chapter 7 |
Non-linear Modeling; R Lab |
|
Week 13 4/15 |
11 |
Chapter 8 |
CART with R; Random Forest and Boosting |
|
Week 14 4/22 |
12 |
Chapter 9 |
Support Vector Machines; R Lab |
|
Week 15 4/29 |
13 |
Chapter 10 |
Clustering Methods; R Lab |
|
Week 16 5/6 |
|
|
Review for Final Exam Reading Day 2 ~ May 9, 2019 |
|
Week 17 5/13 |
|
|
FINAL EXAM: Monday ~ May 13, 2019 |
|
IMPORTANT
DATES |
|
FIRST DAY OF SEMESTER |
January 22, 2019 |
LAST DAY TO WITHDRAW |
April 8, 2019 |
LAST DAY OF CLASSES |
May 7, 2019 |
FINAL EXAM PERIOD |
May 10 – 16, 2019 |
Grading Policy
Assignment Weighting |
|
Tentative Grading Scale |
||
Homework |
30 % |
|
A |
90 -- 100 |
Midterm Exam |
30 % |
|
B+ |
85 -- 89 |
Final Exam |
40 % |
|
B |
80 -- 84 |
|
|
|
C+ |
70 -- 79 |
C |
60 -- 69 |
|||
|
|
|
F |
0 -- 59 |
Important Departmental and University
Policies
Prepared by Prof. Wenge Guo, January 10, 2019