Applied Data Driven Solutions

Authors

Zhigang Li, Kennesaw State UniversityFollow
Guangzhi Zheng, Kennesaw State UniversityFollow
Darin Morrow, Kennesaw State UniversityFollow
Nazmus Sakib, Kennesaw State UniversityFollow
Seyedamin Pouriyeh, Kennesaw State UniversityFollow

Material Type

Open Textbook

Publication Date

Summer 2025

Course Title

Applied Data Driven Solutions

Course Number

IT 4793

Abstract

This set of ancillary materials for Applied Data Driven Solutions was created under an Affordable Materials Grant. Topics include Python, rapid prototyping, lists, object-oriented programming, and the software development life cycle.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Li, Zhigang; Zheng, Guangzhi; Morrow, Darin; Sakib, Nazmus; and Pouriyeh, Seyedamin, "Applied Data Driven Solutions" (2025). Computer Science and Information Technology Ancillary Materials. 99.
https://oer.galileo.usg.edu/compsci-ancillary/99