Purdue University Northwest > Faculty Senate > News > Senate Documents > COB 17-05 REV COURSE BIZA 32500

COB 17-05 REV COURSE BIZA 32500

January 29, 2018

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.