CES 17-18 REV COURSE STAT 33001

March 26, 2018

Purdue Northwest Curriculum Document

Program Name:

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  • 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

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  • 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

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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.

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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.

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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.

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Course Objectives / Learning Outcomes:

 

Impact on Students:

Not Applicable.

Impact on University Resources:

Not Applicable.

Impact on other Academic Units:

Not Applicable.