Major in Informatics
The Department of Statistics is also a partner in the interdisciplinary major in Informatics. Michigan’s interdisciplinary approach to teaching Informatics gives you a solid grounding in contemporary computer programming, mathematics, and statistics, combined with study of the ethical and social science aspects of complex information systems.
Click on the button below for students still on the following tracks (effective Winter 2013):
The Life Science Informatics track is the remaining track available to declare in the Informatics major. Students who have previously declared another track will be able to complete what they have declared.
- Computational Informatics (no longer available to declare, students should consider the Computer Science -LSA major)
- Data Mining Information Analysis (no longer available to declare, students should consider the Data Science – LSA major)
- Life Science Informatics
- Social Computing (no longer available to declare, students should consider the Bachelor of Science in Information program through the School of Information )
Click on the button below for students still on the following tracks (effective Fall 2014):
- Data Mining Information Analysis
- Life Sciences
Life Sciences Informatics
Using artificial information systems, scientists have made great progress in identifying core components of organisms and ecosystems and are beginning to better understand how these components behave and interact with each other. In fact, biology has become an information science, as computational techniques have become an important means to develop and evaluate biological hypotheses. Informatics is used from basic biological research-studying how patterns of gene expression differ across various cell types-to the practice of medicine, where informatics is used to compare treatments, to identify social correlates of health, and to evaluate possible changes in health policy. The Life Science Informatics track prepares students for careers and advanced study in a number of information-related fields in the life sciences, as well as medical school and other areas of graduate study.
All Life Science Informatics students who declared the major in Informatics between September 2008 and December 2009 may follow the original curriculum or the new curriculum outlined below. If choosing to follow the new curriculum, please notify the Program Coordinator.
All Life Science Informatics who declare after January 1, 2010 will follow the curriculum outlined below:
Track Courses (14-15 credits)
BIOINF 527 Introduction to Bioinformatics and Computational Biology
This course introduces students to the fundamental theories and practices of Bioinformatics and Computational Biology via a series of integrated lectures and labs. These lectures and labs will focus on the basic knowledge required in this field, methods of high-throughput data generation, accessing public genome-related information and data, and tools for data mining and analysis. The course is divided into four areas: Basics of Bioinformatics, Computational Phylogeny (includes sequence analysis), Systems Biology and Modeling.
Advisory prerequisites: Upper level or graduate level Statistics or concurrent enrollment in Statistics; Calculus I II; Biochemistry, Molecular Biology, or Cellular biology; or permission of instructor.
4 credits. Offered F
One of the following life science courses:
This introduction to genetics includes the following sections: DNA and chromosomes; gene transmission in Eukaryotes; linkage and recombination; genes and enzymes, the genetic code, and mutation; recombinant DNA, RFLP mapping, the Human Genome Project; gene regulation, transposons; population genetics; and quantitative genetics.
Enforced prerequisites: BIOLOGY 162 or 163 or (171 and (172 or 174)) or 195. Prior or concurrent enrollment in CHEM 210.
3 credits. Offered: F, W, Sp.
MCDB 310 Introductory Biochemistry
Introductory Biochemistry is designed to be a general introduction to the chemistry of biological systems. The biweekly lectures for this course are designed to help students put biochemical reactions into a cellular context. Students are exposed to the strategies used by cells and multicellular organisms to coordinate the activity of various metabolic pathways.
Enforced prerequisites: BIOLOGY 162 or 163 or 172 or 174 or (195 173) and CHEM 210.
Advisory prerequisite: Prior or concurrent enrollment in CHEM 215.