Course Unit Code : AMAT 32323
Course Title : Mathematical Modeling
Pre-requisites : PMAT 22282
Learning outcomes:
Upon successful completion of the course unit the student will be able to:
explain how the general principles arise in the context of mathematical modeling
analyze existing mathematical models using ordinary differential equations
formulate simple ODE models for real world problems
solve system of ordinary differential equations
analyze the qualitative behavior of mathematical models
identify the solutions of difference equations
solve system of linear difference equations using Putzer algorithm and Jordan form.
Course Content:
Introduction to Mathematical Modeling:
Philosophy of modeling, Modeling Methodology, Problem formulation, Mathematical Description, Analysis, Interpretation.
Mathematical Modeling Using Ordinary Differential Equations:
Classification of ODE, Equilibrium points. First order Differential Equations: Mixing, chemical reactions, Population models: Logistic growth model, Harvesting models, Traffic Dynamic models: Microscopic and macroscopic models. System of Differential equations: Interacting population models (Predator–Prey models, Competition models), Compartment models (Dynamic of infectious disease, Age structured models, Reaction kinetics), Qualitative analysis of models.
Mathematical Modeling Using Difference Equations:
First order difference equations, Equilibrium points, asymptotic stability of equilibrium points, System of linear difference equations: Autonomous systems, Discrete analogue of Putzer algorithm, Jordan form, linear periodic systems.
Method of Teaching and Learning : A combination of lectures and tutorial discussions.
Assessment : Based on tutorials, tests and end of course examination.
Recommended Textbook:
1. Kapur, J.N. (2015). Mathematical Modeling, New Age International.
2. Bender, A. (2012). An introduction to Mathematical Modeling, Courier Corporation.
3. Haberman, R. (1998). Mathematical Models: Mechanical Vibrations, Population Dynamics and Traffic Flow. SIAM.
4. Allen, L. (2006). An Introduction to Mathematical Biology, Pearson.
5. Elaydi, S. (2005). An Introduction to Difference Equation, Springer.