Essentials of Math Modeling - A Seven-Part Series Focused on Students Featuring MATLAB

Learn the fundamentals of mathematical modeling through this comprehensive seven-part series designed specifically for students and featuring extensive use of MATLAB. Master the complete mathematical modeling process starting with an overview of core concepts and methodologies. Develop essential programming skills in MATLAB and explore data analysis techniques using both MATLAB and Excel. Dive into disease spread modeling while working with difference and differential equations to understand dynamic systems. Explore probabilistic models to handle uncertainty and randomness in real-world scenarios. Gain proficiency in regression analysis and statistical concepts crucial for model validation and interpretation. Conclude by learning effective writing practices for communicating mathematical models and participate in an intensive challenge weekend session to reinforce your learning through practical application.

Syllabus

Essentials of Math Modeling – Session 1: Overview of the math modeling process
Essentials of Math Modeling – Session 2: Basic programming in MATLAB
Essentials of Math Modeling – Session 3: Intro to data analysis using MATLAB and Excel
Essentials of Math Modeling – Session 4: Model for Disease Spread, Difference, and Differential Eqs.
Essentials of Math Modeling – Session 5: Probabilistic Models
Essentials of Math Modeling – Session 6: Introduction to Regression and Statistical Ideas
Essentials of Math Modeling – Session 7: Good Writing Practices and Challenge Weekend CRAM Session