SPRING - UCSC Extension Silicon Valley
SPRING - UCSC Extension Silicon Valley
SPRING - UCSC Extension Silicon Valley
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Bioinformatics Biosciences<br />
16-unit minimum<br />
Required Courses<br />
Bioinformatics Tools,<br />
Databases and Methods<br />
CMPS.X446.4 (3.0 quarter units)<br />
This course provides a practical introduction to the<br />
main public domain tools, databases and methods used<br />
in bioinformatics, including DNA and protein databases<br />
such as Genbank and PBD, software tools such as BLAST,<br />
and methods including those for aligning sequences. It<br />
emphasizes the needs of the user of bioinformatics tools<br />
and databases, rather than complex algorithm development<br />
and advanced computational methods. Computer<br />
lab exercises and online demonstrations of the various<br />
databases and tools on the Internet are included.<br />
This course is intended both for life scientists and<br />
computer engineers. After the prerequisite, this is the<br />
recommended first course for those wanting to gain<br />
skills in bioinformatics.<br />
Prerequisite(s): “Molecular Biology, Introduction.”<br />
LELAND KOZAR, M.B.A., M.A., M.S.<br />
SANTA CLARA LAB WITH ONLINE MATERIALS<br />
10 meetings: Mondays, 6–9 pm, April 23–May 21;<br />
Saturdays, 9 am–12 pm, April 21–May 19.<br />
Fee: $765 ($76.50 discount for early enrollment).<br />
To enroll, use Section Number 2447.(043)<br />
BIOINFORMATICS CERTIFICATE<br />
Prerequisite Courses units Course F W Sp Su<br />
Molecular Biology, Introduction.............................................3.0...........4213 n n n<br />
AND<br />
Statistics OR.........................................................................5.0.........23588 m m m<br />
Statistical Design of Experiments: A Practical Approach......2.0.........23096<br />
Required Courses units Course F W Sp Su<br />
Bioinformatics Tools, Databases and Methods.......................3.0...........2447 n n m<br />
Experimental Methods in Molecular Biology.........................3.0...........1912<br />
n<br />
Statistical Analysis and Modeling for Bioinformatics<br />
and Biomedical Applications ............................................3.0...........1032 n n<br />
Elective Courses (7 units required) Units Course F W Sp Su<br />
Take required courses before electives.<br />
Cellular Biology .....................................................................3.0...........3383 n<br />
Computational Biology with Java .........................................3.0...........0266 n<br />
* Computational Intelligence....................................................1.5.........19951 n n<br />
DNA Microarrays: Principles, Applications and Data Analysis.. 3.0...........2183<br />
n<br />
Drug Discovery, Introduction .................................................3.0...........4853 n n<br />
Gene Expression and Pathways.............................................2.0...........6020<br />
n<br />
Molecular Diagnostics............................................................1.5.........21972 n n<br />
Perl for Bioinformatics............................................................2.0.........19971<br />
* Sequence Analysis in Bioinformatics, Advanced ....................2.0...........0036<br />
Structure Analysis of Biological Molecules.............................2.0...........5925 n<br />
* Suggested electives for computer scientists and IT professionals<br />
n held in classroom m offered online p both classroom and online sessions are available<br />
Visit ucsc-extension.edu for the most current program schedule.<br />
Experimental Methods<br />
in Molecular Biology<br />
NATSC.X446.5 (3.0 quarter units)<br />
This lecture-based course provides a theoretical overview<br />
of the key molecular biology techniques used in basic<br />
life science research and by the biotechnology and<br />
biopharmaceutical industry for the discovery of novel<br />
therapeutics. Topics include gene cloning, manipulation<br />
and sequencing; PCR; RNA interference; gene expression<br />
analysis; protein expression, engineering, and structure<br />
determination; and the fundamentals of experimental<br />
design. Also addressed are high-throughput sequencing<br />
and microarray expression analysis and the types of data<br />
these techniques generate.<br />
Prerequisite(s): “Molecular Biology, Introduction.”<br />
RAXIT JARIWALLA, Ph.D.<br />
SANTA CLARA CLASSROOM<br />
10 meetings: Mondays, 6–9 pm, June 18–August 6;<br />
Saturdays, 1–4 pm, June 23–August 4<br />
(5 no meetings TBA).<br />
Fee: $765 ($76.50 discount for early enrollment).<br />
To enroll, use Section Number 1912.(039)<br />
Statistical Analysis and<br />
Modeling for Bioinformatics<br />
and Biomedical Applications<br />
CMPS.X445.1 (3.0 quarter units)<br />
This course presents the statistical methods most frequently<br />
used in bioinformatics and biomedical research.<br />
Topics include probability, hypothesis testing, confidence<br />
intervals, t-tests, analysis of variance, regression analysis,<br />
power and sample size, and simulations. Students perform<br />
statistical analyses using the R programming language.<br />
Examples are drawn from biomedical applications, such<br />
as gene expression analysis, molecular diagnostics, and<br />
evaluation of new drugs and medical devices.<br />
Prerequisite(s): “Statistics.”<br />
MICHAEL ELASHOFF, Ph.D.<br />
SANTA CLARA LAB WITH ONLINE MATERIALS<br />
10 meetings: Thursdays, 6–9 pm, April 12–June 28<br />
(2 no meetings TBA).<br />
Fee: $765 ($76.50 discount for early enrollment).<br />
To enroll, use Section Number 1032.(039)<br />
Elective Courses<br />
DNA Microarrays: Principles,<br />
Applications and Data Analysis<br />
For course description, see page 10.<br />
Drug Discovery, Introduction<br />
For course description, see page 9.<br />
Gene Expression and Pathways<br />
NATSC.X426.2 (2.0 quarter units)<br />
This course provides a solid foundation in the molecular<br />
concepts and cutting-edge technologies that are central<br />
to the understanding of gene expression pathways<br />
in simple cells and complex multicellular organisms.<br />
Topics include gene structure; regulatory proteins and<br />
transcriptional control; inheritance of states of gene<br />
expression; and posttranscriptional control of gene<br />
activity. Abnormalities in gene expression are discussed<br />
in relation to human disease states as well as drug<br />
discovery and diagnostic medicine.<br />
Prerequisite(s): “Molecular Biology, Introduction” or<br />
equivalent or basic knowledge of foundation concepts<br />
in molecular biology.<br />
RAXIT JARIWALLA, Ph.D.<br />
SANTA CLARA CLASSROOM<br />
10 meetings: Mondays, 6–9 pm, April 4–May 2;<br />
Saturdays, 1–4 pm, April 9–May 7 (2 no meetings TBA).<br />
Fee: $715 ($71.50 discount for early enrollment).<br />
To enroll, use Section Number 6020.(023)<br />
Molecular Diagnostics<br />
For course description, see page 11.<br />
To pursue two bioscience-related<br />
certificates in parallel or in sequence,<br />
see page 7.<br />
8<br />
Enroll on our Web site with a credit card. It’s the fastest, easiest way to get started. Visit ucsc-extension.edu.