Course Info

DSC 341: Foundations of Data Science (Formerly CSC 367)

The course is an introduction to the Data Mining (DM) stages and its methodologies. The course provides students with an overview of the relationship between data warehousing and DM, and also covers the differences between database query tools and DM. Possible DM methodologies to be covered in the course include: multiple linear regression, clustering, k-nearest neighbor, decision trees, and multidimensional scaling. These methodologies will be augmented with real world examples from different domains such as marketing, e-commerce, and information systems. If time permits, additional topics may include privacy and security issues in data mining. The emphasis of this course is on methodologies and applications, not on their mathematical foundations.

Spring 2019-2020

Section: 601
Class number: 30880
Meeting time: TuTh 11:50AM - 1:20PM
Location: CDM 00220 at Loop Campus
Instructor: N/A
Section: 610
Class number: 30881
Meeting time: -
Location: N/A at Online Campus
Instructor: N/A

Fall 2019-2020

Section: 401
Class number: 12984
Meeting time: TuTh 11:50AM - 1:20PM
Location: CDM 00216 at Loop Campus
Section: 410
Class number: 12985
Meeting time: -
Location: ONLIN E0000 at Online Campus

Spring 2018-2019

Section: 601
Class number: 36457
Meeting time: TuTh 11:50AM - 1:20PM
Location: CDM 00220 at Loop Campus
Section: 610
Class number: 36458
Meeting time: -
Location: ONLIN E0000 at Online Campus

Fall 2018-2019

Section: 401
Class number: 15753
Meeting time: TuTh 11:50AM - 1:20PM
Location: CDM 00216 at Loop Campus
Section: 410
Class number: 15754
Meeting time: -
Location: N/A at Online Campus