Class Schedule

Class Schedule For Decision Sciences - Spring2022

IMPORTANT: Schedule Data is not real time.

Data was last updated: 05/27/2022 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)

Second course in business statistics that focuses on the application of statistical methods to business problems. Emphases are placed on case studies, data analysis, model building techniques, statistical reasoning, and communications of statistical results. A statistical computer package will be used in the course.

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 31475 1 Discussion 53/1 W WEBONLINE 0600PM-0850PM Chidella,Jagannadha S OL
02 book for DS 101 Section 02 31490 1 Discussion 53/2 MW ALP224 0900AM-1015AM Rangwala,Mehul N HY
02 book for DS 101 Section 02 31490 1 Discussion 53/2 WEBONLINE - Rangwala,Mehul N HY
03 book for DS 101 Section 03 31494 1 Discussion 53/2 MW ALP224 1030AM-1145AM Rangwala,Mehul N HY
03 book for DS 101 Section 03 31494 1 Discussion 53/2 WEBONLINE - Rangwala,Mehul N HY
04 book for DS 101 Section 04 31500 1 Discussion 53/1 MW ALP224 0300PM-0415PM Araujo Maciel,Fernanda
05 book for DS 101 Section 05 31501 1 Discussion 53/4 MW ALP224 0430PM-0545PM Aryarad,Adrian HY
05 book for DS 101 Section 05 31501 1 Discussion 53/4 WEBONLINE - Aryarad,Adrian HY
06 book for DS 101 Section 06 31511 1 Discussion 53/4 WEBONLINE - Araujo Maciel,Fernanda OL
07 book for DS 101 Section 07 31531 1 Discussion 53/2 TR ALP224 0900AM-1015AM Rangwala,Mehul N
08 book for DS 101 Section 08 31569 1 Discussion 53/0 WEBONLINE - Chidella,Jagannadha S OL
11 book for DS 101 Section 11 31645 1 Discussion 53/3 TR ALP224 0430PM-0545PM Aryarad,Adrian HY
11 book for DS 101 Section 11 31645 1 Discussion 53/3 WEBONLINE - Aryarad,Adrian HY
12 book for DS 101 Section 12 31693 1 Discussion 53/4 WEBONLINE - Li,Min OL
13 book for DS 101 Section 13 36866 1 Discussion 53/3 TR ALP224 0730AM-0845AM Rangwala,Mehul N
14 book for DS 101 Section 14 36867 1 Discussion 53/4 MW ARC1016 0600PM-0715PM Aryarad,Adrian HY
14 book for DS 101 Section 14 36867 1 Discussion 53/4 WEBONLINE - Aryarad,Adrian HY
15 book for DS 101 Section 15 36868 1 Discussion 53/16 TR ARC1016 0600PM-0715PM Okpala,Meshack C

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
01 book for DS 110 Section 01 31680 1 Lecture 30/22 TR ARC1013 0900AM-1015AM Li,Min HY
01 book for DS 110 Section 01 31680 1 Lecture 30/22 R WEBONLINE 0900AM-1015AM Li,Min HY

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
01 book for DS 115 Section 01 37210 1 Lecture 30/20 TR ARC1013 1030AM-1145AM Li,Min HY
01 book for DS 115 Section 01 37210 1 Lecture 30/20 R WEBONLINE 1030AM-1145AM Li,Min HY

Legend

Icon Description
Book Legend Icon The icon links you to the identified course materials list.
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

HY - Hybrid (OnLine & In-Person Meetings)

OL - Online

Session Codes

1 - Regular Academic Session (01/24/2022 to 05/13/2022)