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Preface
About the Authors
Introduction
Modeling
Mathematical Modeling
General Steps
Trends in Teaching and Learning
Summary
References
Problem Solving and Mathematical Modeling
Problem Evolution
Problem Solving
Problem Classification
Modeling Process and Teaching Approaches
Summary
References
Decision Problems
Introduction
Control Theory
Game Theory
Probability and Statistics
Multicriteria Decision Analysis
Motivation
Case Studies
Summary
References
Optimization Problems
Introduction
Mathematical Modeling
History Development of Optimization
Optimization
Motivation
Case Study
Summary
References
Delay Problems
Introduction
Queuing Theory
Delay Differential Equations
Motivation
Case Studies
Summary
References
Data Science Problems
Introduction
Data Analytics and Learning Methodologies
Data Visualization Tools and Data Modeling
Motivation
Case Studies
Summary
References
Pandemic Problems
Introduction
Impacts of Pandemics
Motivation
Types of Epidemic Models
Case Studies
Compartmental Models
COVID-19 Pandemic Problem
Summary
References
Interdisciplinary Engineering Problems
Introduction
Motivation
Case Studies
Summary
References
Conclusion
Summary
Research Openings and Future Outlook