General Section
Overview
Program Administration
People
Faculty Trainers
Predoctoral Trainees
Postdoctoral Fellows
Past Trainees
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CIBM Seminar Series
Annual Retreat
Presentations Annual Training Meeting
News
Honors and Awards
Nomination Deadlines
Ph.D. Program Links
Graduate Program Details
Program Information
Research Environment
Financial
University of Wisconsin
Madison, Wisconsin
Why UW
Madison?
Graduate School Links
Faculty
Contact Information
Program Requirements
Coursework
CIBM Seminar Series
Annual Meeting
Annual Review
Online Forms
*(.doc) - Requires Microsoft
Word
*(.pdf) - Requires Adobe
Acrobat Reader
NIH Appointment Form (.pdf)
Travel Request Form (.doc) (.pdf)
Nomination Forms:
Current Students (.doc) (.pdf)
Incoming Students (.doc) (.pdf)
Other Program Details
Postdoctorate
Short-Term Research
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The CIBM Training Program
Curriculum Requirements for Ph.D. Students
CIBM trainees are expected to gain knowledge in three areas:
- Bioinformatics/Biostatistics
- Biological Sciences
- Computer Science
Required courses (marked with *) and suggested courses in
these three areas are listed below. The CIBM Student Advisory Committee
will review each trainee's course curriculum and expects that approximately
five or six courses will be taken to fulfill the core curriculum of CIBM.
Courses taken as an undergraduate can be used, pending approval, to satisfy
the CIBM course requirements. Substitutions can be made with the approval
of the CIBM Trainee Advisory Committee.
Students must receive a grade of B or better for a course
to count toward the CIBM requirements.
Students should also note that the University of Wisconsin–Madison
requires that Ph.D. students complete a minor, which typically involves
four courses (12 credits) taken outside of one’s home department.
Courses taken can count for both the Ph.D. minor and for the CIBM requirements.
In addition, all predoctoral and postdoctoral trainees will
be required to take a one-semester course in Scientific Ethics
(BacT 901, Sect 15, or Chem 901).
| Bioinformatics/Biostatistics
(3 required) |
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1. *Stat 541 - Introduction
to Biostatistics. 3 cr. Course designed for the biomedical researcher.
Topics include: descriptive statistics, hypothesis testing, estimation,
confidence intervals, t-tests, chi-squared tests, analysis of variance,
linear regression, correlation, nonparametric tests, survival analysis
and odds ratio. Biomedical applications used for each topic.
or
*Stat 571 - Statistical Methods for Bioscience
I (Crosslisted with Forest, Hort). 4 cr. Descriptive statistics,
distributions, one- and two-sample normal inference, power, one-way
Anova, simple linear regression, categorical data, non-parametric
methods; underlying assumptions and diagnostic work.
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2. *BMI 576 - Introduction
to Bioinformatics (Crosslisted with Comp Sci). 3 cr. Algorithms
for computational problems in molecular biology. The course will
study algorithms for problems such as: genome sequencing and mapping,
pairwise and multiple sequence alignment, modeling sequence classes
and features, phylogenetic tree construction, and gene-expression
data analysis.
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3. The 3rd course may be chosen
from one of the following:
BMI 776 - Advanced Bioinformatics (Crosslisted
with Comp Sci). 3 cr. Advanced course covering computational problems
in molecular biology. The course will study algorithms for problems
such as: modeling sequence classes and features, phylogenetic
tree construction, gene-expression data analysis, protein and
RNA structure prediction, and whole-genome analysis and comparisons.
Bioch 711 - Sequence Analysis (Crosslisted with
Ahabs). 2 cr. Topics will include overviews of: RNA, DNA and protein
structure; mechanisms of genetic change; sequence generation methods;
comparison and alignment algorithms; motif recognition; 2D predictions;
phylogeny calculations; database searching; discriminating coding
criteria; phenotypic selection; phylogenic reconstruction.
CBE 582 - Modeling Biological Systems
ISyE 617 - Health Information Systems (Crosslisted
with LIS) 3 cr. Provides grounding in core concepts of health
information systems. Major applications include clinical information
systems, language and standards, decision support, image technology
and digital libraries. Evaluation of IE tools and perspectives
designed to improve the quality, efficiency and effectiveness
of health information.
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| Biological
Courses (3 required) |
Credit for one of the three required courses will be granted
for:
* An introductory molecular biology course
or
*Chem 341/Chem 343 - Introductory Organic
Chemistry. 3 cr.
or
* Chem 561 - Physical Chemistry. 3 cr. Macroscopic
theory: equilibrium thermodynamics, chemical kinetics and transport
properties.
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Gen 466 - General Genetics (Crosslisted with
Botany, Zoology). 3 cr. Genetics in eukaryotes and prokaryotes.
Includes Mendelian genetics, mapping, molecular genetics, genetic
engineering, cytogenetics, quantitative genetics, and population
genetics. Illustrative material includes viruses, bacteria, plants,
fungi, insects, and humans.
Gen 612 - Prokaryotic Molecular Genetics (Crosslisted
with Bact, Biochem) 3 cr. Molecular basis of bacterial physiology
and genetics with emphasis on molecular mechanisms; topics include
nucleic acid-protein interactions, transcription, translation,
replication, recombination, regulation of gene expression.
Bioch 602 - Biochemical Mechanisms of Regulation
in the Cell. 2 cr. Control of major cellular metabolic pathways
of biosynthesis and degradation; signal transduction; membrane
biogenesis and cell compartmentation; intracellular protein and
lipid traffic.
Bioch 501 - Introduction to Biochemistry. 3
cr. Chemistry, nutrition, and metabolism of biological systems.
Bioch 601 - Protein and Enzyme Structure and
Function. 2 cr. Protein structure and dynamics. Protein folding.
Physical organic chemistry of enzymatic catalysis. Analysis of
enzyme kinetics and receptor-ligand interactions. Enzymatic reaction
mechanisms.
Bioch 630 - Cellular Signal Transduction Mechanisms
(Crosslisted with Zoology, Phmcol-M) 3 cr. Lecture-discussion.
Comprehensive coverage of human hormones, growth factors and other
mediators; emphasis on hormone action and biosynthesis, cell biology
of hormone-producing cells.
Bioch 636 - Structural Biology
Bioch 665 - Biophysical Chemistry (Crosslisted
with Chem). 4 cr. Equilibrium thermodynamics, chemical kinetics
and transport properties, with emphasis on solution behavior and
application to noncovalent interactions of biological macromolecules
in solution. For graduate students interested in the biological
applications of physical chemistry.
Gen 677 - (Special Topics) Genomic Science
AHABS 375/875 - (Special Topics) Comparative
Microbial Genomics
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| Computer
Sciences Courses (3 required) |
CS 367 - Introduction to Data Structures. 3
cr. Study of data structures (including stacks, queues, trees,
graphs, and hash tables) and their applications. Development,
implementation, and analysis of efficient data structures and
algorithms (including sorting and searching). Experience in use
of an object-oriented programming language.
CS 514 - Numerical Analysis (Crosslisted with
Math). 3 cr. Polynomial forms, divided differences. Polynomial
interpolation. Polynomial approximation: uniform approximation
and Chebyshev polynomials, least-squares approximation and orthogonal
polynomials. Numerical differentiation and integration. Splines,
B-splines and spline approximation. Numerical methods for solving
initial and boundary value problems for ordinary differential
equations.
CS 525 - Linear Programming Methods (Crosslisted
with Ind Engr, Math, Stat). 3 cr. Real linear algebra over polyhedral
cones; theorems of the alternative for matrices. Formulation of
linear programs. Duality theory and solvability. The simplex method
and related methods for efficient computer solution. Perturbation
and sensitivity analysis. Applications and extensions, such as
game theory, linear economic models, and quadratic programming.
CS 540 - Introduction to Artificial Intelligence.
3-4 cr. Principles of knowledge-based search techniques; automatic
deduction; knowledge representation using predicate logic, semantic
networks, connectionist networks, frames, rules. Applications
in problem solving, expert systems, game playing, vision, natural
language understanding, learning robotics, Lisp programming.
CS 559 - Computer Graphics. 3 cr. Survey of
computer graphics. Image representation, formation, presentation,
composition and manipulation. Modeling, transformation, and display
of geometric objects in two and three dimensions. Representation
of curves and surfaces. Rendering, animation, multi-media and
visualization.
CS 564 - Database Management Systems: Design
and Implementation. 3-4 cr. What a database management system
is; different data models currently used to structure the logical
view of the database: relational, hierarchical, and network. Hands-on
experience with relational and network-based database sytems.
Implementation techniques for database systems. File organization,
query processing, concurrency control, rollback and recovery,
integrity and consistency, and view implementation.
CS 577 - Introduction to Algorithms. 3 cr. Survey
of important and useful algorithms for sorting, searching, pattern-matching,
graph manipulation, geometry, and cryptography. Paradigms for
algorithm design, hints for efficient implementation.
CS 635 - Tools and Environments for Optimization
(Crosslisted with Ind Engr). 3 cr. Formulation and modeling of
applications from computer sciences, operations research, business,
science and engineering involving optimization and equilibrium
models. Survey and appropriate usage of software tools for solving
such problems, including modeling language use, automatic differentiation,
subroutine libraries and web-based optimization tools and environments.
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