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  • 3.00 Credits

    Structure and function of biomolecules, metabolism, and regulation. It is recommended that CHEM 2320 and BIOL 2020 be complete prior to taking this course. Prerequisites: 'C-' or better in (CHEM 2310 OR CHEM 2311)
  • 3.00 Credits

    laboratory course in protein biochemistry and enzymology. Topics covered include spectrophotometry, enzyme kinetics, electrophoresis and chromatography. In addition to one 4-hour laboratory sessions and one lecture per week, the course requires substantial out-of-class work involving computer-based data analysis and molecular modeling. Students need to take CHEM/BIOL 3510 prior to taking, or simultaneously with, this course. Corequisites: "C-" or better in (BIOL 3510 OR CHEM 3510).
  • 3.00 Credits

    A continuation of Biological Chemistry I. Nucleic acid structure, protein and nucleic acid biosynthesis and signal transduction. Students need to have taken BIOL/CHEM 3510 before taking this course. Prerequisites: "C-" or better in (BIOL 3510 OR CHEM 3510).
  • 3.00 Credits

    From the simplest bacterium to multicellular mammals, each living organism shares vital mechanisms to repair its DNA. In this lab course, we will explore the structure of DNA, mechanisms of DNA damage, consequences of un-repaired DNA damage, and how cells repair DNA. It is recommended that BIOL 2020, BIOL 2030, BIOL 3510 or CHEM 3510 is completed prior to taking this course.
  • 3.00 Credits

    Principles from physics and chemistry are explored in the context of biological processes, especially at the molecular and cellular level. Topics covered include random walks, thermodynamics, molecular recognition, dynamic processes, optics and spectroscopy. Quantitative treatments are emphasized and computer simulation and applications are used extensively. Recommended: PHYS 2020 or PHYS 2120 or PHYS 2220 or PHYS 3220 Prerequisites: "C-" or better in ((BIOL 2020 OR BIOL 2021) AND (CHEM 1220 OR CHEM 1221) AND (MATH 1180 OR MATH 1220)).
  • 3.00 Credits

    Principles form physics and chemistry are explored in the context of biological processes, especially at the molecular and cellular level. Topics covered include random walks, thermodynamics, molecular recognition, dynamic processes, optics and spectroscopy. Quantitative treatments are emphasized and computer simulation and applications are used extensively. Recommended: PHYS 2020 or PHYS 2120 or PHYS 2220 or PHYS 3220 Prerequisites: "C-" or better in ((BIOL 2020 OR BIOL 2021) AND (CHEM 1220 OR CHEM 1221) AND (MATH 1180 OR MATH 1220)) AND Member of Honors College.
  • 3.00 Credits

    This laboratory course explores the form and function of organisms, focusing on mechanical support and movement. It is designed to give students hands-on experience with analyzing structure and function.
  • 3.00 Credits

    The ability to communicate effectively to peers, professionals and the public is critical to being successful in any scientific field. Science addresses questions that are integral to some of today's most pressing political and social issues including health care, environmental quality, technology and education. Therefore, scientists must be able to place their work in a context that is relevant and accessible to a broad audience. This course is designed to teach students how to communicate complex interdisciplinary scientific concepts through written and oral mediums and to prepare them to communicate successfully with peers, researchers, faculty, students, and future employers. The course consists of a 2-hour class session and a 3-hour weekly communication and teaching lab in a K-12 school.
  • 3.00 Credits

    This hands-on course will introduce students to the fundamental tools for the analysis and visualization of data from a range of biological sub-fields. Topics will include, but are not limited to, the management of data, exploration and description of data distributions, basic linear regression and hypothesis testing, and exposure to a range of data and visualization types. Example data sets will draw from ecology, genomics, physiology, and other sub-fields in biology to expose students to a wide range of visualization and analysis techniques. At the end of this course, students will know how to explore and analyze a new dataset to make defensible conclusions from data using modern open scripting tools, such as R or Python. No prior computer programming experience is required. Prerequisites: BIOL 1610 AND BIOL 1620 AND (MATH 1170 OR MATH 1210 OR MATH 1215 OR MATH 1250 OR MATH 1310 OR MATH 1311)
  • 1.00 - 5.00 Credits

    Topics of special interest, varies from year to year. Prerequisites: Instructor Consent.