Electronic Course Authorization System (ECAS)

STAT 4631 - VIEW COURSE PROPOSAL – NEW COURSE

 

 

Back to Proposal List

 

Approvals Received:

Department
on 09-17-04
by Carol Ford
(fordcj@umn.edu)

 

Curriculum Committee
on 10-07-04
by Karen Van Horn
(vanhornk@umn.edu)

Approvals Pending:

Curriculum Committee > Campus Assembly > Catalog

Effective Status:

Active

Effective Term:

1059 - Fall 2005

Course:

STAT 4631

Institution:

UMNMO - Morris

Career:

UGRD

College:

MDSM - UMM-Science & Math, Div of

Department:

242 - UMM-Sci & Math, Div of-Adm

 

General

Course Title Short:

Experimental Design

Course Title Long:

Design and Analysis of Experiments

Max-Min Credits
for Course
:

4.0 to 4.0 credit(s)

Catalog
Description
:

Design and analysis of experimental designs; blocking, randomization, replication and interaction; complete and incomplete block designs; factorial experiments; crossed and nested effects; repeated measures; confounding effects.

Additional Course
Information
(for catalog
production):

<no text provided>

Grading Basis:

Stdnt Opt

Honors Course:

No

Delivery Mode(s):

Classroom

Years most
frequently offered
:

Other frequency

Term(s) most
frequently offered
:

Fall, Spring

Component 1:

LEC (with final exam)

Auto-Enroll
Course
:

No

Graded
Component
:

LEC

Academic
Progress Units
:

Not allowed to bypass limits.
4.0 credit(s)

Financial Aid
Progress Units
:

Not allowed to bypass limits.
4.0 credit(s)

Repetition of
Course
:

Repetition not allowed.

Course
Prerequisites
for Catalog
:

Stat 3601 or #

Course
Equivalency
:

No course equivalencies

Consent
Requirement
:

No required consent

Enforced
Prerequisites
:
(course-based or
non-course-based)

No prerequisites

Editor Comments:

<no text provided>

Proposal Changes:

<no text provided>

History Information:

<no text provided>

Assessment
and Goals
:

Assessment: pre-assessment given early in course consists of conceptual and data analysis questions. Similar constructed post-course assessment will measure course progress Goals: learn statistical benefits of a designed experiment, implications of sample size, difference between crossed and nested factors, concept of interaction, guidelines for choosing approach for experiment

Rationale for
Changes or
Exceptions
:

COURSE HELPS GIVE OUR CURRICULUM BALANCE IN THAT IT HAS A STRONGER EMPHASIS ON PRODUCTION OF QUALITY DATA THAN OTHER EXISTING COURSES. PROXIMITY TO USDA AND WCROC PROVIDES OPPORTUNITIES FOR PROJECTS AND CASE STUDIES OUTSIDE THE CLASSROOM.

 

General Education

Faculty
Sponsor Name
:

Jon Anderson

Requirement
this course fulfills
:

M/SR - M/SR Mathematical/Symbolic Reasoning

 

Provisional
Approval:

No

Regular
Approval:

Yes; date: Sept 30, 2004