COB 17-03 REV COURSE BIZA 22500
Purdue Northwest Curriculum Document
Program Name:
[one_half_first]
- Document No: COB 17-03 REV COURSE BIZA 22500
- 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
[/one_half_first] [one_half]
- 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
[/one_half]
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:
Updated the existing course designator from BUSM to BIZA.
Justification:
This change will help students to easily follow the sequential of the courses.
[one_half_first]
Current:
BUSM 22500 – FUNDAMENTAL MANAGERIAL STATISTICS:
Credits: 3 (Class 3, Lab 0)
Prerequisites: MA 15300
Co-Requisites: N/A
The foundation for statistical decision making. Topics include: probability theory, descriptive statistics, estimation, and statistical inference with managerial applications. Typically offered Fall Spring Summer.
This course is also General Education.
[/one_half_first] [one_half]
Proposed:
BIZA 22500 – FUNDAMENTAL MANAGERIAL STATISTICS:
Credits: 3 (Class 3, Lab 0)
Prerequisites: MA 15300
Co-Requisites: N/A
The foundation for statistical decision making. Topics include: probability theory, descriptive statistics, estimation, and statistical inference with managerial applications.
[/one_half]
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.