800-618-4681 | Request Info
Mobile Menu

RBIF 103

Probability and Statistics

This course introduces probability and statistics in the bioinformatics context, building a foundation for the "probabilistic thinking" method with applications to real life problems within biophysics, bioinformatics and data analysis. The course addresses probability theory with one and many random variables, classical and Bayesian methods, Poisson processes and Markov chains and applications to sequence analysis, gene finding and phylogenetics, and the fundamentals of the Mathematica programming language and its uses in computational probabilistic experiments.

At the end of the course, students will be able to:

Apply general principles of probability and statistics, including set theory, probability distributions, non-linear regressions, sequence analysis algorithms, and hypothesis testing, in the context of experimental data analysis, sequence analysis, and other bioinformatics problems.

Apply probabilistic methods and concepts, including Boltmann statistics, Monte Carlo and molecular dynamics modeling, Mendelian genetics, and models of statistical evolution, to the analysis of biological systems on different levels.

Participate in a team research work involving numerical statistical analysis and modeling, and communicate its results to colleagues; make presentations on various statistical topics.

Use Mathematica as a programming, visualization and presentation environment.

Attend an Online Open House

Please join us for our next Online Open House. Check out our Admissions Events to see a listing of upcoming program-specific Online Open Houses, and get connected with program chairs, current students and administrative staff at GPS.

Get Advice

Brandeis GPS is committed to giving you the support you need to succeed. From the moment you begin the application process to the day you graduate and beyond, our advising team is here to support you. Talk to an enrollment advisor today.

Explore Online Learning

Our unique approach to online learning is designed by and for working professionals. Learn more about the tools and skillsets you'll develop through our master's programs.