Electronic Course Authorization System (ECAS)

Electronic Course Authorization System (ECAS)
CSCI 3511 - VIEW COURSE PROPOSAL – NEW COURSE

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Approvals Received:

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

Curriculum Committee
on 10-7-04
by Karen Van Horn
(vanhornk@umn.edu)

Approvals Pending:

Curriculum Committee > Campus Assembly > Catalog

Effective Status:

Active

Effective Term:

1059 - Fall 2005

Course:

CSCI 3511

Institution:

UMNMO - Morris

Career:

UGRD

College:

MDSM - UMM-Science & Math, Div of

Department:

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

General

Course Title Short:

Intro to Bioinformatics

Course Title Long:

Introduction to Bioinformatics

Max-Min Credits
for Course:

4.0 to 4.0 credit(s)

Catalog
Description:

Introduction to computational problems arising from molecular biology and genetics. Development and application of algorithmic solutions to these problems. Topics may include sequence analysis, pairwise and multiple sequence alignment, construction of phylogenetic histories, and protein structure and folding. Intro to on-line genomics databases.

Additional Course
Information
(for catalog
production):

Offered when feasible

Grading Basis:

Stdnt Opt

Honors Course:

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:

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:

CSci 2101, Biol 2111, Chem 1102

Course
Equivalency:

No course equivalencies

Consent
Requirement:

No required consent

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

No prerequisites

Editor Comments:

Proposal Changes:

History Information:

Assessment
and Goals:

Students will be assessed using a combination of exams to test their understanding of the factual material from various fields, projects to show their ability to apply those ideas to real data, and reports and presentations showing their ability to independently research relevant topics and summarize and present their findings.

Rationale for
Changes or
Exceptions:

THE DISCIPLINE IS INTERESTED IN OFFERING MORE INTERDISCIPLINARY COURSES AND WE THINK THIS WOULD BE A GOOD OPTION FOR STUDENTS INTERESTED IN COMPUTING IN THE BIOLOGICAL FIELD.

General Education

Faculty
Sponsor Name:

Nic McPhee

Requirement
this course fulfills:

M/SR - M/SR Mathematical/Symbolic Reasoning

Provisional
Approval:

Regular
Approval:

Yes; date: Sept 30, 2004