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Biophysical Modeling of Excitable Cells - A New Approach to Undergraduate Computational Biology Curriculum Development

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12747))

Abstract

As part of a broader effort of developing a comprehensive neuroscience curriculum, we implemented an interdisciplinary, one-semester, upper-level course called Biophysical Modeling of Excitable Cells (BMEC). The course exposes undergraduate students to broad areas of computational biology. It focuses on computational neuroscience (CNS), develops scientific literacy, promotes teamwork between biology, psychology, physics, and mathematics-oriented undergraduate students. This course also provides pedagogical experience for senior Ph.D. students from the Neuroscience Department at the Medical University of South Carolina (MUSC). BMEC is a three contact hours per week lecture-based course that includes a set of computer-based activities designed to gradually increase the undergraduates’ ability to apply mathematics and computational concepts to solving biologically-relevant problems. The class brings together two different groups of students with very dissimilar and complementary backgrounds, i.e., biology or psychology and physics or mathematics oriented. The teamwork allows students with more substantial biology or psychology background to explain to physics or mathematics students the biological implications and instill realism into the computer modeling project they completed for this class. Simultaneously, students with substantial physics and mathematics backgrounds can apply techniques learned in specialized mathematics, physics, or computer science classes to generate mathematical hypotheses and implement them in computer codes.

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References

  1. Austin, A.: Preparing the next generation of faculty: graduate school as socialization to the academic career. J. High. Educ. 73, 94–122 (2002). https://doi.org/10.1353/jhe.2002.0001

    Article  Google Scholar 

  2. Bialek, W., Botstein, D.: Introductory science and mathematics education for 21st-century biologists. Science 303, 788–790 (2004). https://doi.org/10.1126/science.1095480

    Article  Google Scholar 

  3. Caldwell, J.E.: Clickers in the large classroom: current research and best-practice tips. CBE Life Sci. Educ. 6(1), 9–12 (2007). https://doi.org/10.1187/cbe.06-12-0205

    Article  Google Scholar 

  4. Chien, Y., Smith, M.L.: Powerpoint: is it an answer to interactive classrooms? Int. J. Instr. Media 35(3), 271 (2008)

    Google Scholar 

  5. Ermentrout, B.: Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students. SIAM (2002). https://doi.org/10.1137/1.9780898718195

  6. Feldon, D., et al.: Graduate students’ teaching experiences improve their methodological research skills. Science 333, 1037–1039 (2011). https://doi.org/10.1126/science.1204109

    Article  Google Scholar 

  7. Holley, K.A.: The longitudinal career experiences of interdisciplinary neuroscience PhD recipients. J. High. Educ. 89(1), 106–127 (2018). https://doi.org/10.1080/00221546.2017.1341755

    Article  Google Scholar 

  8. Hunter, A.B., Laursen, S., Seymour, E.: Becoming a scientist: the role of undergraduate research in students? Cognitive, personal, and professional development. Sci. Educ. 91, 36–74 (2006). https://doi.org/10.1002/sce.20173

    Article  Google Scholar 

  9. Hurd, M., Vincent, D.: Functional magnetic resonance imaging (fMRI): a brief exercise for an undergraduate laboratory course. J. Undergrad. Neurosci. Educ. 5, A22–A27 (2006)

    Google Scholar 

  10. Kaplan, D.: Explanation and description in computational neuroscience. Synthese 183(3), 339–373 (2011). https://doi.org/10.1007/s11229-011-9970-0

    Article  Google Scholar 

  11. Knight, J.: A primer on instructional coaching. Principal Leadersh. 5, 17–20 (2005)

    Google Scholar 

  12. Kozeracki, C., Carey, M., Colicelli, J., Levis-Fitzgerald, M.: An intensive primary-literature-based teaching program directly benefits undergraduate science majors and facilitates their transition to doctoral programs. Life Sci. Educ. 5, 340–347 (2006). https://doi.org/10.1187/cbe.06-02-0144

    Article  Google Scholar 

  13. Latimer, B., Bergin, D., Guntu, V., Schulz, D., Nair, S.: Open source software tools for teaching neuroscience. J. Undergrad. Neurosci. Educ. 16(3), A197–A202 (2018)

    Google Scholar 

  14. Luft, J., Kurdziel, J., Roehrig, G., Turner, J.: Growing a garden without water: graduate teaching assistants in introductory science laboratories at a doctoral/research university. J. Res. Sci. Teach. 41, 211–233 (2004). https://doi.org/10.1002/tea.20004

    Article  Google Scholar 

  15. Mazur, E.: Peer Instruction: A User’s Manual. Series in Educational Innovation. Prentice Hall, Hoboken (1997)

    Google Scholar 

  16. Miller, J., Martineau, L., Clark, R.: Technology infusion and higher education: changing teaching and learning. Innov. High. Educ. 24, 227–241 (2000). https://doi.org/10.1023/B:IHIE.0000047412.64840.1c

    Article  Google Scholar 

  17. Moore, J., Stuart, A.: Neurons in Action Version 2: Tutorials and Simulations Using NEURON. Sinauer Associates, Sunderland, MA, USA (2007)

    Google Scholar 

  18. Muir, G.: Mission-driven, manageable and meaningful assessment of an undergraduate neuroscience program. J. Undergrad. Neurosci. Educ. 13(3), A198–A2015 (2015)

    MathSciNet  Google Scholar 

  19. Oprisan, S.: Teaching computational neuroscience at a liberal arts and sciences undergraduate college. Society for Neuroscience, Washington, DC (2011)

    Google Scholar 

  20. Oprisan, S.: Introducing computational neuroscience concepts and research projects to undergraduates. Society for Neuroscience, New Orleans, LA (2012)

    Google Scholar 

  21. Ramirez, J.J.: Undergraduate neuroscience education: meeting the challenges of the 21st century. Neurosci. Lett. 739, 135418 (2020). https://doi.org/10.1016/j.neulet.2020.135418

    Article  Google Scholar 

  22. Salomon, D., Martin-Harris, L., Mullen, B., Odegaard, B., Zvinyatskovskiy, A., Chandler, S.: Brain literate: making neuroscience accessible to a wider audience of undergraduates. J. Undergrad. Neurosci. Educ. 13(3), A64–A73 (2015)

    Google Scholar 

  23. Schultheiss, S.: Ten simple rules for providing a scientific web resource. PLoS Comput. Biol. 7(5), e1001126 (2011). https://doi.org/10.1371/journal.pcbi.1001126

    Article  Google Scholar 

  24. Stanley, D.: Can technology improve large class learning? The case of an upper-division business core class. J. Educ. Bus. 88, 265–270 (2013). https://doi.org/10.1080/08832323.2012.692735

    Article  Google Scholar 

  25. Stuart, A.: Teaching neurophysiology to undergraduates using neurons in action. J. Undergrad. Neurosci. Educ. 8(1), A32–A36 (2009)

    Google Scholar 

  26. Wiertelak, E., Hardwick, J., Kerchner, M., Parfitt, K., Ramirez, J.: The new blueprints: undergraduate neuroscience education in the twenty-first century. J. Undergrad. Neurosci. Educ. 16(3), A244–A251 (2018)

    Google Scholar 

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Acknowledgments

This work was supported by a Research & Development grant form the CofC and an award from the South Carolina Space Grant Consortium.

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Correspondence to Sorinel A. Oprisan .

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Oprisan, S.A. (2021). Biophysical Modeling of Excitable Cells - A New Approach to Undergraduate Computational Biology Curriculum Development. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12747. Springer, Cham. https://doi.org/10.1007/978-3-030-77980-1_46

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  • DOI: https://doi.org/10.1007/978-3-030-77980-1_46

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