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Sathyabama Institute of Science and Technology B.Com.LL.B - B.Com.LL.B. (Honours) SBMA4002 Modelling of Physiological Systems Syllabus SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF MECHANICAL ENGINEERING SBMA4002 MODELLING OF PHYSIOLOGICAL SYSTEMS L T P Credits Total Marks 3 0 0 3 100 UNIT 1 PHYSIOLOGICAL COMPLEXITY AND THE NEED FOR MODELS 9 Hrs. Introduction - Complexity - Feedback - Negative Feedback - Positive Feedback - Inherent Feedback - Combining Negative and Positive Feedback - Derivative and Integral Feedback - Effects of Feedback on the Complexity of System Dynamics Control in Physiological Systems - General Features - Enzymes - Hormones - Hierarchy - Redundancy - Function and Behavior and their Measurement. UNIT 2 MODELS AND THE MODELING PROCESS 9 Hrs. Introduction - The Purpose of Modeling - The Modeling Process - Model Formulation - Model Identification - Model Validation - Model Simulation - The Basis of Data Modeling - Approaches to Data Modeling - Modeling a Single Variable Occurring Spontaneously - Temperature 38 - Urine Potassium - Gastro-intestinal Rhythms - Hormonal Time Series - Modeling a Single Variable in Response to a Perturbation - Glucose Home Monitoring Data - Response to Drug Therapy UNIT 3 MODELING THE SYSTEM 9 Hrs. Static Models - Linear Modeling - The Wind kessel Circulatory Model - Elimination from a Single Compartment - Gas Exchange - The Dynamics of a Swinging Limb - A Model of Glucose Regulation - Distributed Modeling - Blood-tissue Exchange - Hepatic Removal of Materials - Renal Medulla - Nonlinear Modeling - Baroreceptors - Central Nervous Control of Heart Rate - Compartmental Modeling - Insulin Receptor Regulation - Insulin Action Modeling - Thyroid Hormone Regulation - Modeling the Chemical Control of Breathing Time-varying Modeling UNIT 4 NON- LINEAR DYNAMICS 9 Hrs. Gene lets and synthetic biochemical circuits – Transcriptional oscillators – Synthetic biochemical dynamic circuits – Non – linear dynamics – The brain and the heart Electrophysiology in human cortex – Multiscale network organization – Neuronal oscillations – Cardiac electrophysiology/ UNIT 5 CASE STUDIES 9 Hrs. A Sum of Exponentials Tracer Disappearance Model - Blood Flow Modeling - Cerebral Glucose Modeling - Models of the Ligand-Receptor System - A Simulation Model of the Glucose-Insulin System - Model Formulation - A Model of Insulin Control - Bayesian Estimation Max. 45 Hrs. COURSE OUTCOMES On completion of the course, student will be able to CO1 - Understands the living system from a holistic perspective. CO2 - Remembers the electrophysiological studies in clinical studies CO3 - Appreciate the complexity in living systems and understand the need to model. CO4 - Interprets the process of systematic modeling. CO5 - Analyse the purpose behind and logic and applications of the existing models. CO6 - Compares the Model in new cases and hypothetical scenarios. TEXT / REFERENCE BOOKS 1 Cobelli, Claudio, and Ewart R. Carson. Introduction to Modeling in Physiology and Medicine, Elsevier Science & Technology, 2008. 2 Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, edited by Preseason, Misha Meyer, John Wiley & Sons, Incorporated, 2013. END SEMESTER EXAMINATION QUESTION PAPER PATTERN Max. Marks: 100 Exam Duration: 3 Hrs. PART A: 10 Questions of 2 marks each - No choice 20 Marks PART B: 2 Questions from each unit of internal choice; each carrying 16 marks 80 Marks |
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