Oncomine Again Key to Prostate Cancer Discovery
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Courses
Relevant Courses by Term
Fall 2006
Bioinformatics Courses
Bioinformatics 526 will be offered in the Winter 2007 Term
- BIOINF 601 - Critical Discussions in Bioinformatics
- BIOINF 602 - Computational Genomics and Bioinformatics Journal Club
- BIOINF 800 - Special Topics
Molecular Biology
Databases & Computing
- AEROSP 740 - Special Topics in Flight Dynamics and Control Systems
- EECS 662/AEROSP 672 - Advanced Nonlinear Control
- SI 767/EECS 767 - Advanced Natural Language Processing and Information Retrieval
- SI 561/EECS 595/LING 541 - Natural Language Processing
Probability & Statistics
Systemic Modeling
- COMPLXSYS 501 - Introduction to Complex Systems
- COMPLXSYS 541 - Nonlinearity
- MATH 463- Introduction to Mathematical Biology
Winter 2007
Databases & Computing
- EECS 545 - Machine Learning
- EECS 562/AEROSP 551 - Nonlinear Systems and Control
- SI 652/EECS 547 - Electronic Commerce
- SI 614 - Networks: Theory & Application
Probaility & Statistics
Systemic Modeling
Past Terms
Relevant Courses
Bioinformatics Courses
BI 526 - Fundamentals of Bioinformatics
BI 545 - Data Analysis in Molecular Biology
BI 547 - Probabilistic Modeling in Bioinformatics
BI 551 - Proteome Informatics
BI 602 - Journal Club
Pharmacol/BI 618 - Topics in Signal Transduction-based Therapeutics
Available Courses by Core Area
Fall Term
Molecular Biology
Biochem 415 - Introductory Biochemistry
Biochem 416 - Indroductory Biochemistry Lab
CDB 530 - Cell Biology
HG 541 - Gene Structure Regulation
MCDB 427 - Molecular Biology
Pathology/Micro 553 - Cancer Biology
Databases & Computing
EECS 477 - Introduction to Algorithms
EECS 484 - Databases Management Systems
EECS 486 - Object-Oriented Software Development
EECS 493 - Special Topics - Practical Programming Concepts
EECS 543 - Current Topics in Databases
EECS 584 - Advanced Database Systems
EECS 587 - Parallel Computing
Math 571 - Numerical Methods for Scientific Computing
SI 658 - Information Architecture
SI 561/ EECS 595/ LING 541 - Natural Language Processing
SI 666 - Representation and Organization of Information Resrources
Probability & Statistics
Biostat 503 - Introduction to Biostatistics
Biostat 553- Applied Biostatistics
Biostat 601 - Probability and Distribution Theory
Biostat 866 - Advanced Topics in Genetic Modeling (Odd years)
Stat 412 - Introduction to Probability and Statistics
Stat 425 - Introduction to Probability
Stat 426 - Introduction to Theoretical Statistics
Stat 500 - Applied Statistics I
Stat 503 - Applied Multivariate Analysis
Biophysics and Structural Biology
Biochem 550 - Protein Structure and Function
Biophys 520 - Biophysical Chemistry I
MCDB 411 (Bio 411) - Introduction to Protein Structure & Function
Phys 510 - Statistical Mechanics
Systemic Modeling
CSCS 501 - An Introduction to Complex Systems
Micro 510 - Mathematical Models of Infectious Diseases (Even Years by Arrangement)
Stat 710 - Special Topics in Theoretical Statistics I
Winter Term
Molecular Biology
Biochem/ Micro 504 - Cellular Biotechnology Biophys/ Chem
520 - Biophysical Chemistry I Biophys/ Chem
521 - Biophysical Chemistry II Biophys
608 - Biophysical Principles of Microscopy
HG 542 - Molecular, Cellular and Population
Genetics HG/ Pharmacol/ Physiol 555 - Integrative Genomics
MCDB (Bio) 428 - Cell Biology
Databases & Computing
EECS 477 - Introduction to Algorithms
EECS 484 - Databases Management Systems
EECS 493 - User Interface Design and Analysis
EECS 586 - Algorithms
EECS 684 - Knowledge-Based Systems (Even years)
Math 571 - Numerical Methods for Scientific Computing
SI 503 - Search and Retrieval
SI 543 - Programming I (Java)
SI 654 - Special Topics: Database Application Design
Stat 606 - Statistical Computing
Probability & Statistics
Biostat 602 - Biostatistical Inference
Biostat 640- Exploratory Data Analysis (offered irregularly)
Biostat 666 - Statistical Models & Methods in Human Genetics
Math/ Stat 526 - Modeling Discrete State Stochastic Processes
Math/ Stat 547 - Probabilistic Modeling in Bioinformatics (not offered Winter 2005)
Math/ Stat 548 - Computations in Probabilistic Modeling in Bioinformatics (not offered Winter 2005)
Stat 412 - Introduction to Probability and Statistics
Stat 425 - Introduction to Probability
Stat 426 - Introduction to Theoretical Statistics
Stat 501 - Applied Statistics II
Biophysics and Structural Biology
Biophys/ Chem/ CMB 602 - Protein Structure Chem
535 - Physical Chemistry of Macromolecules
Chem 570 - Molecular Physical Chemistry
Chem 576 - Statistical Mechanics Pharmchem
758 - Methods of Computational Chemistry
Systemic Modeling
CSCS 510/ Math 550 - Introduction to Dynamical Systems for Biocomplexity
CSCS 530 - Computer Modeling of Complex Systems
For updated schedule of classes, visit the Office of the Registrar site
Updated course descriptions:
LS&A Courses
Non-LS&A Courses
Key to Acronyms
BI = Bioinformatics (Medicine)
Biochem = Biological Chemistry (Medicine)
Biophys = Biophysics (LS&A)
Biostat = Biostatistics (Public Health)
CDB = Cell and Developmental Biology (Medicine)
CMB = Cellular and Molecular Biology (Medicine)
CSCS = Center for the Study of Complex Systems (LS&A)
Chem = Chemistry (LS&A)
EECS = Electrical Engineering and Computer Science (Engineering)
HG = Human Genetics (Medicine)
Math = Mathematics (LS&A)
Micro = Microbiology and Immunology (Medicine)
MCDB = Molecular, Cellular and Developmental Biology (LS&A)
Pharm = Pharmacy (Pharmacy)
Pharmacol = Pharmacology (Medicine)
Pharmchem = Pharmaceutical Chemistry (Medicine)
Phys = Physics (LS&A)
Physiol = Physiology
SI = Schoool of Information (Information)
Stat = Statistics (LS&A)
Courses That Count Toward Your Graduate Program
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). You may also look for approved courses on Rackham’s website: http://www.rackham.umich.edu/Programs/.
If you elect a course that has not been approved for Rackham graduate credit, the course will appear on your university transcript with the notation "Not for Graduate Credit. The course grade will appear on the transcript, but it will not be averaged into your cumulative grade point average or your credit toward program (CTP) total.
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.
Under unusual circumstances you may petition to receive graduate credit for a course not normally approved for graduate credit (e.g., such as an undergraduate course where you will be expected to perform more advanced work than the undergraduates). Because there is no guarantee of approval, you should submit your petition to the Graduate School's Office of Academic Records and Dissertations (OARD) before taking the course. Your petition must be endorsed by the course instructor and by the graduate chair of your department or program, and it must include an explanation for requesting the exception. You will be expected to perform graduate level work in the course, and the petition must show how this will be accomplished. You may obtain a petition form from your department, from OARD, or online. Source: The Rackham Graduate School Graduate Student Handbook Chapter 3.
