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QuBi Home Bioinformatics Options Bioinformatics Courses Faculty Advisors Careers |
Bioinformatics Option for Mathematics Majors
Purpose and Goals
Within the advent of genomics and proteomics, the
biological sciences are evolving from mainly experimental sciences
performed at the bench to one in which large databases of information,
probabilistic models and statistical analysis techniques play a
significant role. Typical probabilistic models include variance
components, hidden Markov models, Bayesian networks, and coalescent.
Typical statistical methods include maximum likelihood, Bayesian
inference, Monte Carlo Markov chains, and some methods of
classification and clustering. Stochastic modeling and statistical
methods are applied to a wide range of problems from Biology, such as
mapping quantitative trait loci, analyzing gene expression data,
sequence alignment, and reconstructing evolutionary trees. Thus, we
propose a new option within the Mathematics major to provide students
with a working knowledge of computing and biological sciences in order
to pursue lead research in applied mathematical and statistical
methodology.
There is a need at Hunter College to prepare and train a new generation of mathematicians and statisticians capable of using computational analysis to solve important engineering problems arising from the new frontiers of biology and medicine at molecular level. The proposed curriculum will give Mathematics students the necessary background in Biology and Computer Science they need for a working understanding of the subject-matter, while putting a strong emphasis on a rigorous methodological training. These students will be well prepared for bioengineering careers in bioinformatics, the pharmaceutical industry, and the biotechnology industry. They will also be well prepared for graduate studies in the mathematics and statistics of bioinformatics. Curriculum
The major core courses will remain unchanged. They
are currently as follows:
Major Entry Requirements – 9 creditsMATH 126 (1 cr.) or MATH 154 or ExamMATH 150 (4 cr.) Calculus with Analytic Geometry I MATH 155 (4 cr.) Calculus with Analytic Geometry II Major Core Curriculum – 21 creditsMATH 153 (0.5 cr.) Theoretical Calculus I WorkshopMATH 158 (0.5 cr.) Theoretical Calculus II Workshop MATH 250 (4 cr.) Calculus with Analytic Geometry III MATH 254 (3 cr.) Ordinary Differential Equations -or- MATH 255 Vector Analysis MATH 260 (4 cr.) Linear Algebra MATH 311 (3 cr.) Abstract Algebra I MATH 351 (3 cr.) Mathematical Analysis I STAT 213 (3 cr.) Introduction to Applied Statistics -or- STAT 311 Probability Theory In order to pursue the Bioinformatics option (option 5), students are required to complete the following sequences, in addition to the core courses listed above: Statistics Component – 6 creditsSTAT 311 (3 cr.) Probability Theory -or- STAT 213 Intro. to Applied StatisticsSTAT 319 (3 cr.) [New] Bayesian Inference in the Sciences Computing Component – 6 creditsCSCI 132 (3 cr.) [New] Practical UNIX and ProgrammingCSCI 232 (3 cr.) [New] Relational Database & SQL Students will also take the following natural science courses, which will fulfill the requirements for a minor in Biology or in Chemistry: Chemistry Component – 12 creditsCHEM 102-103 (4.5 cr.) General Chemistry I + LabCHEM 104-105 (4.5 cr.) General Chemistry II + Lab CHEM 222 (3 cr.) Organic Chemistry Note that CHEM 102-103 and CHEM
104-105 are GER/2/E courses.
The GER/2/E block consists of at least 7 credits. Biology Component– 12 creditsBIOL 100 (4.5 cr.) Principles of Biology IBIOL 300* (4.5 cr.) Biological Chemistry -or- BIOL 302** Molecular Genetics BIOL 425 (3 cr.) [New] Computational Molecular Biology *BIOL 200 prerequisite is
recommended but not required.
**BIOL 300 prerequisite is recommended but not required. TOTAL CREDITS – 66 CREDITS Sample Course Sequence**Please see advisor for
individualized course plans
Faculty Advisors
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Acknowledgments
National
Institutes of Health (NIH)/MARC ProgramHoward Hughes Medical Institute (HHMI) Center for the Study of Gene Structure and Function |