National University of Sciences and Technology
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CSE-888 Computational Modeling of Physiological Systems
Campus RCMS
Programs PG
Session Fall Semester 2016
Course Title Computational Modeling of Physiological Systems
Course Code CSE-888
Credit Hours 3-0
Pre-Requisutes CSE – 880, CSE – 881, CSE – 882, CSE – 885, CSE – 886, CSE - 887
Course Objectives Course Objectives: The course provides a detailed insight in the modeling approaches to describe and reconstruct physiological properties and physiology of the cardiovascular and neurological systems

Course D e s c r i p t i o n: The course introduces analytical and computational models of the cardiovascular and neurological systems to elucidate the fundamental biophysical, electrical and mechanical functions of normal heart and brain. The course introduces and examines mathematical models, which are used to quantify electrophysiology at level of signal channels, cells, tissue up to complete organs. The course also addresses cellular force development and tissue mechanics. One of the most significance features of the course is to explain the influence of various physics (electric, electrochemical, physiological and mechanical phenomena) on each other. In addition, numerical methods for solving the underlying systems of equations are addressed with regards to their efficient implementation.
Detail Content
  • Overview and introduction to anatomy (from modeling perspective)
  • Electrophysiological modeling of membrane and ion channels
  • Modeling of electrical conduction in cardiac and neural tissue
  • Modeling of force development in myocytes
  • Mechanical modeling of tissue
  • Electrical modeling of tissue
  • Introduction to finite element method
  • Finite difference method
  • Introduction to multiphysics
  • Modeling of electrical, mechanical and transport processes using case studies
Learning Objectives/Outcomes:
  • The course will provide the students with a guide to mathematical modeling techniques and tools for simulation of physiological systems.
  • The students will be able to classify modeling approaches and select appropriate models as research and development tools
  • By using models students will be able to quantify electrophysiology at multiple levels
  • Students will be able to demonstrate their understanding of cellular force development and tissue mechanics
  • Students will be able to integrate electrical, electrochemical, physiological and mechanical phenomena into the design of models to assess their inter-dependencies.
  • Student will be able to develop vocabulary and context for understanding recent literature in computational physiology
Text/Ref Books
  1. Sachse, Frank B. Computational Cardiolog: modeling of anatomy, electrophysiology and mechanics. Heidelberg: Springer, 2004.
  2. Hille, Bertil. Ion channels of excitable membranes. Vol. 507. Sunderland, MA: Sinauer, 2001.
  3. Datta, Ashim, and Vineet Rakesh. An Introduction to Modeling of Transport Processes: Applications to Biomedical Systems. Cambridge University Press, 2010.
  4. Bathe, Klaus-Jürgen. Finite element procedures. Klaus-Jurgen Bathe, 2006.
  5. Buchanan, George R. Schaum's outline of finite element analysis. MCGRAW-HIL, 1995.
  6. Rideout, Vincent C. Mathematical and computer modeling of physiological systems. Englewood Cliffs, NJ:: Prentice Hall, 1991.
  7. Research Methods in Biomechanics, Author: Robertson, D.G.E., Caldwell, G.E., Hamill, J., Kamen, G., & Whittlesey, S.N. Edition: 2004. Publisher: Champaign, IL: Human Kinetics
Time Schedule
Faculty/Resource Person Assistant Professor - Dr Zartasha Mustansar