Special Topics in Information Science: Foundations of Data Science

Program: MSIS/PhD
Course Areas
General Information Studies Elective
Data Science/Engineering/Analytics

Catalog Description

Foundational data science-related techniques and their essential mathematical and computational background.

Instructor Description

This class explores various data science models, both traditional and the state of the art techniques. The course is designed to provide mathematical and computational basis such as Linear Algebra, Optimization techniques, and probabilistic modeling for different types of machine learning models. The goal of the class is provide a foundational basis for data science techniques. The class focuses on PSETs and a final data science project.

Prerequisites

Graduate standing.

Skills and Knowledge
Foundation for Machine Learning
model Development
Topics and Concepts
Able To Understand How Different Models Work
core Machine Learning Principles

Scheduled and Upcoming Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
INF 385T: Special Topics in Information Science: Foundations of Data Science

Shounak Roychowdhury

Fall Term 2025
  • Monday
  • 3:00 pm
  • 6:00 pm
  • UTA
  • 1.208

Past Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
INF 385T: Special Topics in Information Science: Foundations of Data Science

Shounak Roychowdhury Syllabus

Fall Term 2024
  • Monday
  • 3:00 PM
  • 6:00 PM
  • UTA
  • 1.208