LFSC 510 Biological Complexity. Semester course;
2 lecture and 2 lab hours. 3 credits. Prerequisites: BIOL 310
and 317, CHEM 302, PHYS 202, MATH 200 or equivalents or permission
of the instructor. An introduction to the basis of complexity
theory and the principles of emergent properties within the
context of integrative life sciences. The dynamic interactions
among biological, physical and social components of systems
are emphasized. Modeling and simulation methods for investigating
biological complexity are illustrated. LFSC 520 Bioinformatics
Technologies. Semester course;
2 credits. Prerequisite: LFSC 510 Integrative Life Sciences
I: Biological Complexity or permission of instructor. Introduction
to the hardware and software used in computational biology,
proteomics, genomics, ecoinformatics, and other areas of data
analysis in the life sciences. The course also will introduce
students to data mining, the use of databases, meta-data analysis,
and techniques to access information. LFSC 630 Integrative Life Sciences Research.
Semester course; 2 credits. An introduction to integrative research
in the life sciences from the molecular to ecosystem levels.
The course will include presentations on ongoing interdisciplinary
and systems-oriented life sciences research by faculty members
and discussion and analysis of classic interdisciplinary research
projects.
LFSC 690 Research Seminar in Integrative Life Sciences.
Semester course; 1 credit. May be repeated for credit. Presentation
and discussion of research topics of current interest in the
life sciences.
LFSC 697 Directed Research in Integrative Life Sciences.
Semester course; 1-15 credits. May be repeated for credit. Directed
research leading to the Ph.D. degree in Integrative Life Sciences.
MICR 510 Scientific Integrity. Semester course;
1 lecture hour. 1 credit. A survey of contemporary issues relating
to responsible conduct in research. Topics include academic
integrity, mentoring, authorship and peer review, use of humans
and animals in biomedical research, ownership of data, intellectual
property, scientific record keeping, collaborative research,
research misconduct and genetic technology.
