CES 17-18 REV COURSE STAT 33001
Purdue Northwest Curriculum Document
Program Name:
[one_half_first]
- Document No: CES 17-18 REV COURSE STAT 33001
- Proposed Effective Date: Fall 2018
- Submitting Department: MSCS/CES
- Date Reviewed by Department: February 16, 2018
- Submission Date: March 26, 2018
- Date Reviewed College/School Curriculum Committee: 04/04/2018
- Contact Person: Catherine Murphy, Head and Roger Kraft, Associate Professor of Computer Science
[/one_half_first] [one_half]
- Approval by Faculty Senate: May 4, 2018
- Date Reviewed by Senate Curriculum Committee: April 13, 2018
- 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 Proposal: Complete Section II
- Degree Name:
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:
Impact on University Resources:
Impact on other Academic Units:
Section II: This section is for changes in courses only
- Subject: Add prerequisite to STAT 33001- Biostatistics
- Justification: Correct catalog which has no prerequisite listed.
[one_half_first]
Current:
STAT 33001- Biostatistics.
Course pattern: 3-0-3. Credit hours: 3.00.
This course covers the fundamental concepts of statistical methods and their application to biology. The following topics will be included: experimental and sampling designs; descriptive statistics; basic probability or probability distribution; test of hypothesis; one-way analysis of variance; linear regression. Emphasis will be placed on the collection, organization, analysis and interpretation of data from biological experiments and observations.
Typically offered Fall, Spring, Summer.
[/one_half_first] [one_half]
Proposed:
STAT 33001- Biostatics.
Prerequisite(s): MA 15300 FOR LEVEL UG WITH MIN GRADE of C-.
Credit hours: 3.00. Course pattern: 3-0-3.
This course covers the fundamental concepts of statistical methods and their application to biology. The following topics will be included: experimental and sampling designs; descriptive statistics; basic probability or probability distribution; test of hypothesis; one-way analysis of variance; linear regression. Emphasis will be placed on the collection, organization, analysis and interpretation of data from biological experiments and observations.
Typically offered Fall, Spring, Summer.
[/one_half]
Course Objectives / Learning Outcomes:
Impact on Students:
Not Applicable.
Impact on University Resources:
Not Applicable.
Impact on other Academic Units:
Not Applicable.