Mathematical Models

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Basic Modeling for Discrete Optimization (Coursera) Coursera
University of Melbourne,The Chinese University of Hong Kong

Basic Modeling for Discrete Optimization (Coursera)

CS: Software Engineering

Discover the power of discrete optimization through this foundational course. Explore essential modeling techniques that are crucial for effective scheduling, resource management, and strategic decision making. Whether you're interested in improving corporate efficiency or solving complex puzzles like Sudoku, this course provides the tools to make informed choices and optimize processes.

Aug 17th 2026
4 Weeks
Programming Software Discrete Optimization
Details
Practical Time Series Analysis (Coursera) Coursera
The State University of New York

Practical Time Series Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into Practical Time Series Analysis to gain a deep understanding of how to effectively analyze and interpret time-based data. This course is perfect for those who need more than just basic analytics skills but don't have formal training in the field. Learn routine presentation and analysis techniques that will enhance your professional insights.

Aug 10th 2026
5-12 Weeks
Statistics Probability Equations
Details
A Hands-on Introduction to Engineering Simulations (edX) EdX
CornellX,Cornell University

A Hands-on Introduction to Engineering Simulations (edX)

Engineering

Dive into the world of engineering simulations with our hands-on course designed to equip you with practical skills using ANSYS simulation software. Learn how to tackle complex engineering challenges by performing detailed analyses, enhancing your understanding of structural mechanics, fluid dynamics, and heat transfer principles. This problem-based approach ensures you learn by doing, moving beyond basic concepts to a deeper comprehension that's crucial for professional success.

Self Paced
Self-Paced
Engineering Simulation Computational Analysis
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Observation Theory: Estimating the Unknown (edX) EdX
Delft University of Technology,DelftX

Observation Theory: Estimating the Unknown (edX)

Engineering Sci: Mathematics

Dive into 'Observation Theory: Estimating the Unknown' to gain essential skills in parameter estimation from noisy observations. This course is designed for engineers, scientists, and technicians who work with measurements or large datasets but are unsure about how to derive meaningful insights. Learn effective techniques for finding the best estimates and evaluating the reliability of your results.

Self Paced
Self-Paced
Data Analysis Mathematical Models Observation Theory
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Interventions and Calibration (Coursera) Coursera
Imperial College London

Interventions and Calibration (Coursera)

Health & Society

Dive into the world of infectious disease modelling with 'Interventions and Calibration'. This course, offered by Coursera, will equip you with essential skills for understanding and implementing interventions such as vaccination programs. You'll explore advanced SIR models, incorporate compartments to represent treatment effects, and learn about 'leaky' vaccines. Perfect for epidemiologists, public health professionals, and anyone interested in disease control strategies.

Jul 27th 2026
4 Weeks
Health Diseases Public Health
Details
Developing the SIR Model (Coursera) Coursera
Imperial College London

Developing the SIR Model (Coursera)

Health & Society

Dive into the world of infectious disease modeling with 'Developing the SIR Model'. This course introduces you to basic concepts in building compartmental models, focusing on understanding epidemic behavior through mathematics. Learn about key concepts like the basic reproduction number (R0) and how they influence disease dynamics.

Jul 27th 2026
4 Weeks
Health Anatomy Epidemics
Details
Combinatorics: Strategies and Methods for Counting (FutureLearn) FutureLearn
University of Padova

Combinatorics: Strategies and Methods for Counting (FutureLearn)

Sci: Mathematics Science

Embark on a mathematical journey into the fascinating world of combinatorics with this free online course. Master simple yet powerful techniques for efficient counting and avoid common pitfalls in problem-solving. Whether you're interested in algebra, probability, topology, or geometry, this course will equip you with the skills to tackle complex combinatorial problems.

Self Paced
4 Weeks
Probability Combinatorics Mathematics
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