ITAI 2377 - Data Science in Artificial Intelligence (AI)

A comprehensive course focusing on the transition from data to information, encompassing various database types, data capture or curation strategies, and the role of Machine Learning as a driving force in a rapidly evolving model. It covers dynamic data, extensively distributed information, and storage systems. This course aims to give students a deep understanding of data integrity and establish effective checkpoints within the data system to address performance issues and errors. Furthermore, students will acquire skills to integrate diverse data types into modern structures and transform average data into valuable information in an age characterized by high-precision data and exceptional insight performance, utilizing specialized hardware and software. (Capstone Course for Artificial Intelligence (AI) and Data Science, AAS).

Prerequisite(s): ITAI 1370  and DSAI 1371  
Type: TECH