GVSU Professional Science Master's Newsletter
In this issue:
Numbers to Crunch
Internship Companies: 27
Dr. Robert Downer
Biostatistics Program Director
Dr. Mark Staves
Cell & Molecular Biology Program Director
Dr. Paul Leidig
Medical & Bioinformatics Program Director
Dr. David Elrod
Welcome to the inaugural issue of the GVSU Professional Science Masters (PSM) degree Newsletter. I’m Dave Elrod, the Coordinator of our three PSM programs: MS in Biostatistics, MS in Cell & Molecular Biotechnology and MS in Medical and Bioinformatics. I’ve been at GVSU since 2004 after a long career in pharmaceutical drug discovery research. I’m excited about the PSM programs because they focus on the kinds of workplace skills that we looked for in applicants in pharmaceutical research and are prized in so many other fields as well. PSM graduates have also demonstrated their added value in hospitals, large and small companies, CRO’s and in both independent and medical center research institutes.
Our Alumni Spotlight this issue is on Naveen Kamireddi who completed the Cell & Molecular (CMB) Biotechnology PSM program in April 2010. Naveen's somewhat unconventional path through the CMB Biotechnology PSM program shows how these programs benefit both the students and their future employers.
Ever thought about brushing up or adding to your skills set? If you aren't a current student, all you need to do is apply as a non-degree seeking student at Grand Valley to sign up for and take a class or two. This Winter 2011 we have the following special interests courses. Check out the course catalog, which is posted online, for a more thorough listing of other courses offered this winter. If there is sufficient interest, these courses may be offered every year.
STA 580 – Statistical Computing with R
Instructor: David Zeitler
Location: MAK BLL118 / A1121
Time: 4:30 – 5:45 pm Mondays and Wednesdays
This course will be a practical introduction to programming and statistical analysis using the open source R statistical software system. It will cover:
- use of R for basic statistical analysis both from the Rcmdr GUI and command line,
- graphics in R including the Lattice and ggplot graphics systems,
- basics of programming in R including data manipulation, program control, simple functions and debugging,
- an introduction to simulation and random number generation with R,
- and an introduction to Bayesian analysis using the WinBugs package based on R.
Prerequisites are: STA 216 or permission of instructor.
Required texts are:
- "A First Course in Statistical Programming with R" by W. John Braun and Duncan J. Murdoch
- "Lattice: Multivariate Data Visualization with R" by Deepayan Sarkar
- "R for SAS and SPSS Users" by Robert A. Muenchen
CMB 680 – Advanced Computational Biology
Instructor: Agnieszka Szarecka
Location: CHS 142
Time: 6:00 – 8:50 pm Monday
We will review the ways in which computers and computational models are used to study biomolecules: their structures, function and interactions. The class will include lecture, literature discussion and hands-on experience with molecular modeling tools.
Computational approach has become a powerful and recognized partner of experimental structural biology in the process of elucidating both structures and functions of biomolecules. Problems, such as protein folding into their unique 3D structures, designing new therapeutics based on their binding to protein targets or simulating behavior and function of biomolecules, are now extensively studied using computers.
This course introduces the students to the key concepts and methods developed by computational biology to study the relationship between structure and function of biomolecules.
We will cover the computational methods of: predicting protein 3D structure (such as homology modeling); predicting and simulating biomolecular function (enzymatic reactions, functional motions, molecular recognition); discovering new drugs and engineering new biomolecules.
Editor: Augusta Lloyd
Page last modified April 20, 2011