DSCI 372 : Machine Learning for Data Science

DSCI/CS 372 is an introduction to Machine Learning, the subfield of Artificial Intelligence. This course will introduce the basic ideas and techniques in machine learning. The techniques you learn in this course will serve as the foundation for further study in any machine learning-related area you pursue. Students have to use Python for course projects.

Lectures

Two 80-minute lectures are delivered each week.

Prerequisites

Learning Outcomes

The learning objectives of this course are:

  • To understand basic concepts and methods in Machine Learning (ML).
  • To apply these ML-based methods for solving different problems.

Textbooks and readings

Course Requirements and Grading

Grading will be based on the following criteria:

Percentage

Component

28

Homework

42

Course Project

30

Final Exam

Grading Scale

  

>=90

A

>=85

A-

>= 79

B+

>= 74

B

>= 68

B-

>= 62

C+

>= 56

C

>= 50

C-

>= 47

D+

>= 43

D

>= 40

D-

F