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BIOLOGY AND BIOMEDICAL SCIENCES (L41)  (Dept. Info)Arts & Sciences  (Policies)FL2014

L41 BIOL 493Seminar in Advanced BiologyVar. Units (max = 4.0)Lab Required
Description:Section 1: In special cases, credit may be given for individual study. Topics of study and credit must be arranged with a faculty sponsor and approved by the Department. Section 2: Molecular Methods in Enzyme Analysis. Understanding enzyme structure and function is essential in many important drug design projects. This course focuses on common methods used to investigate enzyme active sites to elucidate binding interactions between small molecules and enzymes. Students use 3D protein viewing software to design and model modifications to an enzyme active site, then perform those modifications using recombinant DNA technology and site-directed mutagenesis. This course also introduces other commonly used methods to assay active-site metals, characterize inhibitors, over-express and purify proteins, and use UV spectroscopy to analyze enzyme activity. This is an investigative course in which students perform collaborative research projects in small groups. Fulfills the upper-level laboratory requirement for the generic biology major and the biochemistry track; intended for students who have no other courses that fulfill these requirements. (4 credit hours) Prerequisites: Bio2970; Limit 12. Section 3: Social Evolution and Mutualism in the Amoeba Dictyostelium There is a lot more to research than pipetting, or counting cells or weeds. There is more to research than PCR, excellent microscopy skills or careful measurements of any kind. The purpose of this course is to involve undergraduates in the big questions behind their hands-on research. We will read and discuss articles that are foundational for the research questions we ask. We will learn selected statistical techniques and the theory behind statistical analyses using the open source program R. We will learn how to communicate our research outcomes effectively. Please obtain permission from Dr. Strassmann. This course is required for all undergraduates conducting research in the Strassmann/Queller laboratories, and is available to students accepted to conduct future research. 1 unit. Section 4: Biologists in all areas increasingly find that they have the need and opportunity to work with large data sets. The goal of this workshop is to provide students with an opportunity to gain skills in data analysis and presentation using R, a free software environment for statistical computing and graphics. Topics include an introduction to basic programming in R, data types and manipulation, graphics, hypothesis testing and statistics, and applications to various fields of biology, from genomics to ecology. The workshop format will consist of ten, 2-hour sessions that include a brief introduction to key concepts in R and applications in biology, followed by interactive, hands-on tutorials. 1 unit. Letter grade OR pass/fail. Prereq: A course in statistics should be taken prior or concurrently. No prior computing experience is required.
Attributes:A&S IQNSMArchNSMArtNSM
Instruction Type:Independent study, tutorial, or other Grade Options:CP Fees:
Course Type:HomeSame As:N/AFrequency:Every Semester / History
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01TBATBACooperSee department010
02-T-----4:00P-5:00PTBABednarskiSee instructor080
Desc:Enroll in Section A (See Below)
03--W----5:15P-6:15PMcDonnell / 412 Strassmann, DiSalvoSee department060
04--W----3:00P-5:00PTBAElgin, Shaffer, MyersSee department2070
Actions:Books
05TBATBA[TBA]See department000
A--W-F--2:00P-5:30PTBABednarskiSee instructor080
Desc:For section 2 only.
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Home/Ident

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Q=ME Q (Medical School)

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