Foundations of Machine Learning


Foundations of Machine Learning

MET CS 555 (4 credits)

Formerly titled CS 555 Data Analysis and Visualization with R.
This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. Recommended Prerequisite: MET CS 544 or equivalent knowledge, or instructor's consent.

2025SPRGMETCS555A1, Jan 21st to May 1st 2025

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM SHA 202

2025SPRGMETCS555A2, Jan 21st to May 1st 2025

Days Start End Type Bldg Room
W 12:30 PM 03:15 PM CAS 228

2025SPRGMETCS555A3, Jan 21st to May 1st 2025

Days Start End Type Bldg Room
W 06:00 PM 08:45 PM STH B22

2025SPRGMETCS555O2, Mar 11th to Apr 28th 2025

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

2024FALLMETCS555A1, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM PHO 201

2024FALLMETCS555A2, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM MET 101

2024FALLMETCS555A3, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
R 09:00 AM 11:45 AM MET 101

2024FALLMETCS555O2, Oct 29th to Dec 16th 2024

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

2023SUM2METCS555SB1, Jul 5th to Aug 14th 2023

Days Start End Type Bldg Room
MW 06:00 PM 09:30 PM MCS B37

2023SUM2METCS555SO2, Jul 5th to Aug 22nd 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

Format & Syllabus: