BGP Courses
BGP Relevant Courses
Introductory Bioinformatics
| BIOINF-527 | Introduction to Bioinformatics &Computational Biology |
Computing & Informatics
| BIOINF-575 | Prog Lab in Bioinf |
| EECS-587 | Parallel Computing |
Probability & Statistics
| BIOSTAT-553 | Appl Biostatistics |
| BIOSTAT-601 | Prob&Distrib Theory |
| STATS-412 | Intro Prob Stat |
| STATS-425 | Intro Probabil |
| STATS-500 | Applied Stat I |
Molecular Biology
| BIOINF-523* | Bioinformatics Basic Biology Lab |
| BIOLCHEM-415 | Intro Biochem |
| BIOLCHEM-416 | Intro Biochem Lab |
| BIOLCHEM-550 | Macromol Struc&Func |
| BIOLCHEM-504 / MICRBIOL-504 | Cell Biotech |
| BIOPHYS-521 | Biophysical Chemistry II |
| BIOPHYS-608 / MCDB-608/ PHYSICS-608 | Biophysical Principles of Microscopy |
| CDB-530 | Cell Biology |
| HUMGEN-541 | Gene Structur&Regul |
| HUMGEN-542 | Molec Basis HG Dis |
| HUMGEN-555 / PHRMACOL-555 / PHYSIOL-555 | Integrative Genomics |
| MCDB-427 | Molecular Biology |
| MCDB-428 | Cell Biology |
| MICRBIOL-553 / PATH-553 | Cancer Biol |
| NEUROSCI-602 | Princ Neurosc II |
| PHYSIOL-502 | Human Physiology |
Advanced Bioinformatics & Computational Biology
| BIOINF-463 | Mathematical Modeling in Biology |
| BIOINF-545 | Data Anl in Mol Biol |
| BIOINF-547 | Probabilistic Modeling in Bioinformatics |
| BIOINF-551 | Proteome Inf |
| BIOINF-555 | Concepts in Hlth Inf |
| BIOINF-563 | Advanced Mathematical Methods for Biological Sciences |
| BIOINF-665/ BIOSTAT-665/ HUMGEN-665 | Statist Popul Genet |
| BIOSTAT-666 | Num Meth Hum Gen |
| CMPLXSYS-501 | Intro Complex Syst |
| MATH-559 |
Computational Neuroscience |
| STAT-710 | Special Topics in Theoretical Statistics I |
Electives
| BIOLCHEM-602/ BIOPHYS-602/ CHEM-602 / PHRMACOL-602 | Protein Crystallography: Principles of Macromolecular Crystallography |
| BIOINF-618/ PHARMACOL-618 | Topics in Signal Transduction-based Therapeutics |
| BIOPHYS-520/CHEM-520 | Biophysical Chemistry I |
| BIOPHYS-602/CHEM-602 | Protein Crystallogra |
| BIOSTAT-602 | Biostat Inference |
| BIOSTAT-640 | Exploratory Data Analysis (Offered irregularly) |
| BIOSTAT-866 | Adv Topc Gen Model |
| CHEM-535 | Physical Chemistry of Macromolecules |
| CHEM-570 | Molecular Phys Chem |
| CHEM-576 | Stat Mechanics |
| CMPLXSYS-510 / MATH-550 | Introduction to Adaptive Systems |
| CMPLXSYS-530 | Computer Modeling |
| EECS-477 | Introduction to Algorithms |
| EECS-484 | Database Mgt Syst |
| EECS-486 | Object-Oriented Software Development |
| EECS-493 | User Interface Development |
| EECS-498 | Special Topics |
| EECS-543 | Knowledge-Based Systems |
| EECS-545 | Machine Learning |
| EECS-584 | Advanced Database Systems |
| EECS-586 | Algorithms |
| EECS-684 | Knowledge-Based Systems (Even Years) |
| EECS-595 / LING-595/ SI-595 | Natural Language Processing |
| MATH-550 | Intro to Adaptive Systems |
| MATH-571 | Num Meth Sci Comp I |
| MATH-526 / STATS-526 | Disc Stoc Proc |
| MATH-547 / SI-547 / STATS-547 | Probabilistic Modeling in Bioinformatics |
| MATH-548 / STATS-548 | Computations in Probabilistic Modeling in Bioinformatics |
| MATH-571 | Num Meth Sci Comp I |
| MCDB-411 | Protein Structure and Function |
| PHCHEM-758 | Methods of Computational Chemistry |
| PHYS-510 | Statistical Mechanics |
| SI-503 | Search and Retrieval |
| SI-654 | Special Topics: Database Application Design |
| SI-658 | Info Architecture |
| SI-666 | Org of Inf Resources |
| SI-606 / STATS-606 | Statistical Computing |
| STATS-426 | Introduction to Theoretical Statistics |
| STATS-503 | Applied Multivariate Analysis |
| STATS-606 | Statistical Computing |
Seminars / Discussions
| BIOINF-601 | Bioinformatics Seminar discussion |
| BIOINF-602 | Journal Club |
Related Bionformatics Courses
| BIOINF-525 | Foundations in Bioinformatics & Systems Biology |
*BIOINF 523 prepares students with no biology background to take graduate level classes in biology. It alone is not sufficient to fulfill the Bioinformatics program requirements in molecular biology.
Rackham Graduate Credit Requirements
Courses Approved for Regular Rackham Graduate Credit
All courses taken in fulfillment of Rackham degree requirements must be approved for Rackham graduate credit. Be certain that any courses you plan to take--especially those numbered in the 400s--are approved for Rackham credit before you enroll in them. The Graduate School policy on courses is as follows:
Courses at the 400 level and above are acceptable for graduate credit if they have been approved by the Graduate School.
If you are uncertain whether or not a course is approved for Rackham credit, check with the department offering the course or with the Rackham Course Approval Officer (764-8221).
Courses Not Approved for Graduate Credit
Courses at the 300 level and below are not acceptable for graduate credit, without exception. Undergraduate level foreign language courses may occasionally be used in fulfillment of some departmental foreign language requirements.
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