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Biosciences

Thomas Miller

Instructor listed on Rice's public Course Schedule.

Average rating

4.0

19 temporary mock ratings

Difficulty

3.5

course-linked average

Courses

7

in seeded sections

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Courses taught

BIOS 310

Ind Res For Bios Undergrads

Independent research in Rice BioSciences faculty laboratories (sections 2 and above) or other Texas Medical Center laboratories (section 1). Students must have secured a research position prior to applying for BIOS 310. Students spend at least 42 hours in the laboratory for each semester hour of credit (>9h/week for 3 credits). A minimum of 3 credit hours is needed to count toward the BS in Biosciences or to replace one required 300+ level elective lab course for the BA in Biosciences (cannot replace major concentration core labs). Requires a proposal abstract, weekly reports, and a research paper (fall/spring/summer) or a poster presentation (spring/summer for advanced students). Students wishing to perform their research in an off-campus lab must apply online (biosugresearch.rice.edu) at least 3 weeks prior to the start of classes and may not register for fewer than 3 credit hours. Students taking BIOS 310 in the full summer semester must be available to do full-time research for a minimum of 6 weeks or part-time equivalent which should equal to a total of 126 hours working in the lab. It is recommended that summer students spread their hours over 8-10 weeks. Recommended Prerequisite(s): Students are strongly advised to secure research advisors and register for the class well in advance of the start of classes. Recommended Prerequisite(s): Students are strongly advised to secure research advisors and register for the class well in advance of the start of classes. Repeatable for Credit.

BiosciencesNone1-5 credits
4.06.7hAjo-Franklin, Caroline, An, Linna, Bartel, Bonnie, Bashor, Caleb, Beason-Abmayr, Beth, Bennett, Matthew, Braam, Janet, Carson, Daniel, Catanese, Jamie, Chappell, James, de Moraes, Marcos, Dunham, Amy, Egan, Scott, Evans, Kory, Flynn, Jonathan, Gao, Yang, Glasscock, Cameron, Gustin, Michael, Hennelly, Lauren, Hilton, Isaac, Iyer, Harini, Johnson, Cassidy, Kirienko, Natasha, Kranz, Sven, Lavery, Laura, Lieberman-Aiden, Erez, Loveless, Theresa, Lu, George, Lwigale, Peter, Masiello, Carrie, Matsuda, Seiichi P., McCary, Matt, McNew, James, Miller, Thomas, Nakhleh, Luay, Nikonowicz, Edward, Novak, Joseph, Olmos, Joey, Onuchic, Jose, Rudolf, Volker, Rummel, Andrea, Segatori, Laura, Shamoo, Yousif, Siemann, Evan, Silberg, Joff, Solomon, Scott, Stewart, Charles, Tabor, Jeffrey, Tao, Yizhi, Uribe, Rosa, Wagner, Daniel, Wittung Stafshede, Pernilla, Wolynes, Peter, Xiao, Han

BIOS 338

Bio Data Analysis

This course addresses how to analyze, visualize and draw conclusions from biological data. It introduces basic concepts in statistics interwoven with training in data analysis using the R computing environment. Students will learn to identify underlying data structures and wrangle data. Students will also learn to effectively convey results using statistical graphics. Topics include basic R programming, data exploration, statistical modeling, parameter estimation and interpretation, and model comparison. This class particularly focuses on biological data. Cross-list: BIOS 538. Mutually Exclusive: Cannot register for BIOS 338 if student has credit for BIOS 538.

BiosciencesD13 credits
4.39.9hMiller, Thomas

BIOS 401

Undergraduate Honors Research

The Biosciences Honors Research Program offers our seniors and advanced juniors the opportunity to perform a two-semester, individual research project in a research laboratory in Biosciences or an approved off-campus site and offers opportunities for students to develop their written and oral scientific communication skills. Students registering for BIOS 401 are expected to take BIOS 402 the following semester. Each semester, students are expected to average 15 hours per week in research (laboratory) and communication skills activities (scheduled through the companion seminar co-requisite). In BIOS 401, students will prepare regular progress reports, attend lab meetings, and write an end-of-semester short paper (at least 5 pages) on their work. Must register for co-requisite BIOS 411.

BiosciencesNone5 credits
3.89.8hAjo-Franklin, Caroline, An, Linna, Bartel, Bonnie, Beason-Abmayr, Beth, Bennett, Matthew, Braam, Janet, Carson, Daniel, Catanese, Jamie, Chappell, James, de Moraes, Marcos, Dunham, Amy, Egan, Scott, Evans, Kory, Gao, Yang, Gustin, Michael, Hennelly, Lauren, Kirienko, Natasha, Lavery, Laura, Lieberman-Aiden, Erez, Loveless, Theresa, Lwigale, Peter, Matsuda, Seiichi P., McCary, Matt, McNew, James, Miller, Thomas, Nakhleh, Luay, Nikonowicz, Edward, Onuchic, Jose, Rudolf, Volker, Rummel, Andrea, Segatori, Laura, Shamoo, Yousif, Siemann, Evan, Silberg, Joff, Solomon, Scott, Stewart, Charles, Tabor, Jeffrey, Tao, Yizhi, Uribe, Rosa, Wagner, Daniel, Wittung Stafshede, Pernilla, Wolynes, Peter, Xiao, Han

BIOS 538

Bio Data Analysis

This course addresses how to analyze, visualize and draw conclusions from biological data. It introduces basic concepts in statistics interwoven with training in data analysis using the R computing environment. Students will learn to identify underlying data structures and wrangle data. Students will also learn to effectively convey results using statistical graphics. Topics include basic R programming, data exploration, statistical modeling, parameter estimation and interpretation, and model comparison. This class particularly focuses on biological data. Cross-list: BIOS 338. Mutually Exclusive: Cannot register for BIOS 538 if student has credit for BIOS 338.

BiosciencesNone3 credits
3.89.2hMiller, Thomas

BIOS 541

Research Seminar

Discussion of individual research or current topics in particular areas. Intended for students conducting research projects with the instructor as advisor. Repeatable for Credit.

BiosciencesNone1 credits
4.16.3hDunham, Amy, Egan, Scott, Evans, Kory, Hennelly, Lauren, Kranz, Sven, McCary, Matt, Miller, Thomas, Rudolf, Volker, Rummel, Andrea, Siemann, Evan, Solomon, Scott

BIOS 569

Core Course In Ecology & Evol

Survey of topics in ecology and evolution taught by all EEB faculty.

BiosciencesNone1 credits
4.08.7hDunham, Amy, Egan, Scott, Evans, Kory, Hennelly, Lauren, Kranz, Sven, McCary, Matt, Miller, Thomas, Rudolf, Volker, Rummel, Andrea, Siemann, Evan, Solomon, Scott

BIOS 801

Eeb Graduate Research

Ecology & Evolutionary Biology graduate research. Repeatable for Credit.

BiosciencesNone1-15 credits
3.69.3hDunham, Amy, Egan, Scott, Evans, Kory, Hennelly, Lauren, Kranz, Sven, McCary, Matt, Miller, Thomas, Rudolf, Volker, Rummel, Andrea, Siemann, Evan

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