COB 17-05 REV COURSE BIZA 32500
Purdue Northwest Curriculum Document
Program Name:
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- Document No: COB 17-05 REV COURSE BIZA 32500
- Proposed Effective Date: Fall 2018
- Submitting Department: Quantitative Business Studies/College of Business
- Date Reviewed by Department: 1/26/2018
- Submission Date: 1/29/2018
- Date Reviewed College/School Curriculum Committee: 1/31/2018
- Contact Person(s): Serdar Turedi, Assistant Professor of Business Analytics and Raida Abuizam, Department Head of Quantitative Business Studies
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- Approval by Faculty Senate:
- Date Reviewed by Senate Curriculum Committee:
- Name(s) of Library Staff Consulted: Not Applicable
- Will New Library Resources Used?: No
- Form 40 Needed?: Yes
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Task: Course Change or New Course Approval
- Program Name:
- Degree Name(s):
Section I: This section is for changes in programs, minors and certificates
List the major changes in each program of study, minor or certificate.
Impact on Students:
Not Applicable
Impact on University Resources:
Not Applicable
Impact on other Academic Units:
Not Applicable
Section II: This section is for changes in courses only
Subject:
Add BIZA 25000 – Introduction to Business Analytics as a prerequisite, and updated the existing prerequisite course designator from BUSM to BIZA.
Justification:
Students should take the newly introduced introduction course prior to this course.
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Current:
BIZA 32500 – APPLIED BUSINESS STATISTICS:
Credits: 3 (Class 3, Lab 0)
Prerequisites: BUSM 22500
Co-Requisites: N/A
The course topics will include multiple regression, ANOVA, time series analysis, and non-parametric tests. The students will be able to apply statistics to business problems. Typically offered Fall Spring Summer.
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Proposed:
BIZA 32500 – APPLIED BUSINESS STATISTICS:
Credits: 3 (Class 3, Lab 0)
Prerequisites: BUSM 22500 or BIZA 22500, BIZA 25000
Co-Requisites: N/A
The course topics will include multiple regression, ANOVA, time series analysis, and non-parametric tests. The students will be able to apply statistics to business problems.
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Course Objectives / Learning Outcomes:
Impact on Students:
Not Applicable.
Impact on University Resources:
Not Applicable. Course will be taught with existing faculty
Impact on other Academic Units:
Not Applicable.