RIT Department of Computer Science

Syllabus ----- Schedule ----- Derby results

CSCI-739 Topics in Intelligent Systems: Intro to Machine Learning

Fall Semester 2018 (2181)

Catalogue Description

An introduction to machine learning theories and algorithms. Topics include Supervised Learning (e.g. Regression, Deep Neural networks, and SVM) and Probabilistic Graphical Models (e.g. Bayesian networks and Markov models). Programming assignments and projects are required.

Course Outcomes

Instructor Contact

Zack Butler
Office: GOL-3011
E-mail: zjb@cs.rit.edu
Website: http://www.cs.rit.edu/~zjb
Phone: 585-475-6155

I am usually good at answering emails promptly, however, there is no guarantee I'll respond during the evening or on weekends. I will not answer homework-related questions the day the assignment is due.

Office hours:


TA information

Timothy Zee
Office hours: M/W 11:00-12:00, CS Grad Lab


Friday, 1-1:50 OR 2-2:50, BRN-1110

Course Policies

Required Materials

Other resources

The Course Schedule

This includes information about reading and homework assignments, quizzes, exams, etc.


Component Weight
  Homework assignments (5)   45%
  Projects (2)   30%
  Final exam   25%

CS Common Course Policies Include:

updated: July 31, 2018