Download Course Form - Bluegrass Community and Technical College

43
New Course Form
For help filling out the form press F1 or look at the bottom of the screen. For additional
instructions, see Course Form Instructions.
New Course – Course not previously offered.
Type of Action
1.
Catalog Prefix and Number*: BTN 125
2.
Course Title:
Bioinformatics I
Pilot Course Information:
Are you requesting pilot status only at this time?
Implementation Date?
Yes
No
Are you requesting pilot status in addition to regular approval process? Yes
Implementation date? Fall or Spring? Fall
Year? 2013
Has this course been previously approved as pilot status
3.
4.
Yes
No
No
Justification for requested action.
BTN 125 and BTN 126 are designed for individuals with some background in the life sciences who are
preparing for employment in the emerging field of bioinformatics. Computational tools are used to
store, retrieve, analyze or predict the composition or structure of biomolecules. Increasingly, the
biotechnology workforce requires knowledge of bioinformatics, at least at the literacy level, in order to
be able to communicate in the workplace.
Submitting Entity:
Curriculum Committee:
Or College: BCTC
5. Person(s) Primarily Responsible for Proposal (Complete item only if course is not part of a curriculum
package. Verify that members are still current and active prior to submission.):
Name
Teaching Area
College
Involvement of Others (Identify Individuals):
6.
System Office Staff:
7.
Others:
8.
Is this course offered at other colleges?
If yes, have they been involved in the
development of this course?
9.
Yes
Yes
Is this course duplicative or similar to other courses offered by KCTCS?
No
No
N/A
Yes
If yes, Justification:
A100
2012-2013
No
44
10.
Credit / Contact Hours:
10a. Semester Credit Hours:
Minimum
2
10b. Semester Contact Hours:
60
If lab, etc., ratio of
contact hours to credit
hours. (See contact/
credit hour ratio
chart)
11.
Grading Basis:
Letter Grades
12.
Repeat for additional credit:
Pass/Fail
Yes
Maximum
2
30:1
Letter Grades/No GPA
No
If yes, complete the following:
Total credit earned in course:
Open Entry – Open Exit:
13.
Total completions:
Yes
No
14a. Components (Check all components that require scheduling. For each component that is checked, enter the
credit hours and contact hours for each component that is checked.):
Component
Credit
Contact
Component
Credit
Contact Hours
Hours
Hours
Hours
Lecture
Laboratory
Practicum
2
Co-Op
60
Clinical
Discussion
OR
14b. Integrated Components (If components are integrated, and only one component (lecture or lab) needs
scheduling, rather than both lecture and lab, complete this section.)
Lecture/
Lab
15.
Lecture
Credit
Lecture Contact
Lab Credit
Lab Contact
Requisites:
Pre-requisite
Yes
No
If yes, list:
Co-requisite
Yes
No
If yes, list:
Pre-requisite
or
Co-requisite
Yes
No
If yes, list: Completion of, or concurrent enrollment in
BTN 201 and BTN 202.
16.
A100
Implementation Term (Course scheduled to begin, ex. Fall
2012):
Spring 2014
2012-2013
45
17. Proposed Course Description (Course description as it will appear in the catalog. Begin each statement with a
verb.):
Introduces the concepts and tools used in the application of information technology to the field of
biology. Includes methods for data collection, storing and accessing biological data, fundamentals of
sequence alignment, biological molecule structure prediction, and data mining and analysis.
Course Proposal Rationale:
18.
Will this course be a part of an approved curriculum/curricula?
If yes, which curriculum/curricula?
Yes
No
Biotechnology Laboratory Technician
(Submit a New Curriculum or Revision Form)
Course Competencies and Delivery:
19. Proposed Course Competencies/Student Outcomes (If part of an organized curriculum, how does it relate to
program competencies /outcomes? Begin statement with a capital letter and end with a period.):
Upon completion of this course, the student can:
1.
2.
3.
4.
5.
6.
7.
20.
Determine protein coding regions and putative protein sequence(s) within a DNA sequence using
existing bioinformatic databases.
Perform searches of nucleotide and protein databases using a query sequence and retrieve sequences
that are related to the query sequence.
Align and compare multiple DNA or multiple protein sequences to predict functional domains.
Apply bioinformatic methodology to test a scientific hypothesis.
Locate consensus sequences, genes and open reading frames within biological sequences.
Demonstrate basic knowledge of algorithms and their applications to bioinformatics.
Construct a phylogenetic tree based on biological sequence data.
Course Outline (Two-level outline required. Although courses may have more than two levels, the third level
is not necessary.)
I.
II.
III.
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Introduction to Bioinformatics
A. Historical and scientific context
B. Types of problems studied with bioinformatics tools
C. Types of databases.
Working with single sequences
A. Nucleotides
a.
Find ORFs, exons and introns
b.
Consensus sequences
c.
Assemble sequence fragments
B. Amino Acids
a.
Primary structures
b.
Folding predictions
c.
Homologous regions
Working with two or more sequences
A. Nucleotides
a. Homology
b. BLASTn outputs
B. Amino Acids
a. 3-D structures
2012-2013
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IV.
V.
VI.
VII.
b. Structural analogs
c. BLASTp outputs
Phylogenetics
A. Phylogenetic relationships
B. ClastalW alignments
C. Construct phylogenetic trees
RNA
A. snRNP
B. haplotypes
C. BLASTr outputs
Computing tools
A. Organizing data
B. Basic programming & algorithms
Ethics of data deposits and extractions
A. Social networking
B. Data manipulation
C. Benefits and risks
21.
List of experiments/activities (Courses with components other than lecture. e.g., laboratory, clinical,
practicum, etc., must include a sample list of experiment topics or activities. Does not have to be all
-inclusive.):
Use of algorithm to find greatest common divisor
Finding a gene in a DNA sequence
Comparing a given sequence across species
Restriction enzyme analysis of DNA
Sequence alignments and prediction of secondary structure
22.
Indicate sample suggested classroom resources for course (Should not have publishing date greater than five
years.)
SUGGESTED LEARNING RESOURCES FOR THIS COURSE
Lesk, AM. (2008) Introduction to Bioinformatics (3rd ed.) Oxford University Press. ISBN: 9780199208043
Clavere & Notredame (2008) Bioinformatics for Dummies (2nd ed.) For Dummies ISBN: 978-0470089859
22. Provide a rationale for using textbook/references older than five years. N/A
23.
May this course be used as an equivalent for other courses? Yes
If yes, please list.
No X
Signatures: Complete and submit a signature page for every proposal.
*The System Office assigns new course numbers. Contact Mary Kleber at [email protected]
A100
2012-2013