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Fall 2024
Nov 03, 2024
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AIS 20000 - Introduction To Data Science
Credit Hours: 3.00.  This course introduces data science and programming in the R statistical computing environment. Students learn relevant concepts from statistics, mathematics, and computer science. Topics include data manipulation, analysis, modeling, and visualization. Students gain experience analyzing real-world datasets from science, government, and industry.
3.000 Credit hours

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture

Offered By: College of Science
Department: Computer Science

Course Attributes:
Lower Division

May be offered at any of the following campuses:     
      Indianapolis and W Lafayette

Learning Outcomes: 1. Gain experience in the R programming language. 2. Analyze datasets including reading in and manipulating data, building simple models and performing statistical analyses of the data, and communicating the results through data graphics, tables, and other visualizations. 3. Gain knowledge of applications of data science in science, government and industry.


Prerequisites:
Undergraduate level CSCI 23000 Minimum Grade of C- or Undergraduate level CSCI 24000 Minimum Grade of C- or Undergraduate level INFO B2100 Minimum Grade of C- or Undergraduate level INFO C2100 Minimum Grade of C- or Undergraduate level INFO I2100 Minimum Grade of C- or Undergraduate level CIT 14000 Minimum Grade of C- or Undergraduate level CSCI A2010 Minimum Grade of C- or Undergraduate level NEWM N2200 Minimum Grade of C- or (Undergraduate level ECE 26100 Minimum Grade of C- and Undergraduate level ECE 26300 Minimum Grade of C-)

Short Title: Introduction To Data Science

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0
Configuration 2: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Distance Learning 0 3.0

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