Class Schedule

Class Schedule For Decision Sciences - Fall2022

IMPORTANT: Schedule Data is not real time.

Data was last updated: 07/06/2022 at 9:00 AM

Students should login to the My Sac State and click on "Search the Class Schedule" for real-time class schedule information, including the number of open seats.

Table Of Contents

DS 101 - Data Analy For Managers (3 Units)

Introductory course in business analytics that focuses on the application of analytics linking data to business decisions.

Prerequisite: MATH 24, STAT 1; must be a business pre-major, business major (any concentration), or business minor, and have at least sophomore standing

Sect Books Class Nbr Ses Cmp Seats Tot/Avl Days Bldg/Room Times Faculty Class Attributes
01 book for DS 101 Section 01 81714 1 Discussion 53/0 MW ALP224 0730AM-0845AM Staff
02 book for DS 101 Section 02 81581 1 Discussion 53/0 MW ALP224 0900AM-1015AM Staff
03 book for DS 101 Section 03 81593 1 Discussion 53/0 WEBONLINE - Araujo Maciel,Fernanda AB386,OL
04 book for DS 101 Section 04 81597 1 Discussion 53/0 MW ALP224 0300PM-0415PM Araujo Maciel,Fernanda
05 book for DS 101 Section 05 81598 1 Discussion 53/0 MW ALP224 0430PM-0545PM Araujo Maciel,Fernanda
06 book for DS 101 Section 06 81624 1 Discussion 53/0 MW ALP224 0600PM-0715PM Staff
07 book for DS 101 Section 07 81629 1 Discussion 53/0 TR ALP224 0900AM-1015AM Staff
08 book for DS 101 Section 08 81631 1 Discussion 53/0 TR ALP224 1030AM-1145AM Staff
09 book for DS 101 Section 09 81659 1 Discussion 53/0 TR ALP224 1200PM-0115PM Staff
10 book for DS 101 Section 10 81737 1 Discussion 53/0 TR ALP224 0130PM-0245PM Staff
11 book for DS 101 Section 11 81738 1 Discussion 53/0 TR ALP224 0430PM-0545PM Staff
12 book for DS 101 Section 12 86109 1 Discussion 53/0 WEBONLINE - Li,Min AB386,OL

DS 110 - Data Mining for Business Analy (3 Units)

Data mining methods including data visualization, classification (logistic regression, discriminant analysis), tree-based methods, cluster analysis, principle components analysis, factor analysis, neural networks, classification and regression trees, and facilitated through software. Focus on applications in the business environment.

Prerequisite: DS 101 or STAT 103 or ENGR 115 or equivalent. Business, Computer Science, and Mathematics are approved majors to enroll in the course.

Sect Books Class Nbr Ses Cmp Seats Tot/Avl Days Bldg/Room Times Faculty Class Attributes
02 book for DS 110 Section 02 86929 1 Lecture 30/2 TR TAH1009 0900AM-1015AM Li,Min

DS 115 - Advanced Business Analytics (3 Units)

This course introduces students to more advanced topics in business analytics including Neural Networks, Deep Learning, Text Mining, Social Network Analytics, Computer Vision, and their applications in business.

Prerequisite: DS 110. Business, Computer Science, and Mathematics are approved majors to enroll in the course.

Sect Books Class Nbr Ses Cmp Seats Tot/Avl Days Bldg/Room Times Faculty Class Attributes
02 book for DS 115 Section 02 86930 1 Lecture 30/23 TR TAH1009 1030AM-1145AM Li,Min

Legend

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Low Cost Course Materials Legend Icon This course has been identified as having total course material costs under $40.00. Costs are determined by the campus affiliated book store. Availability of low cost materials may be limited to bookstore availability.
Zero Cost Course Materials Legend Icon This course has been identified as having Zero cost course materials.

Class Attribute Codes

AB386 - On Line

OL - Online

Session Codes

1 - Regular Academic Session (08/29/2022 to 12/09/2022)