Integer Programming Courses and Certifications

Hausdorff Center for Mathematics

Daniel Dadush- Integer Programming and the Kannan-Lovasz Conjecture

Explore advanced integer programming techniques, lattice theory, and the Kannan-Lovasz conjecture in this high-level overview of solving n-variable integer programs efficiently, with insights into recent progress and key concepts.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Sparse Integer Programming Is FPT

Explore sparse integer programming's fixed-parameter tractability, its implications for parameterized complexity, and related concepts in variable dimension optimization.

• YouTube
• 35 minutes
• On-Demand
• Free Video

BIMSA

The Subspace Flatness Conjecture and Faster Integer Programming

Explore advanced mathematical concepts linking subspace flatness theory to accelerated integer programming algorithms in this specialized research presentation.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Gomory Mixed Integer Cuts Are Optimal

Explores the theoretical superiority of Gomory mixed-integer cuts in integer programming, demonstrating their optimality in maximizing volume cut-off from the nonnegative orthant in infinite group relaxations.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Optimization Models for Public Transport

Optimization models for public transport planning, covering network design, scheduling, and equity considerations. Explores mathematical approaches to enhance efficiency and passenger convenience in transit systems.

• YouTube
• 59 minutes
• On-Demand
• Free Video

EuroPython Conference

From Algorithms to Agendas - A Beginner's Guide to Integer Programming

Discover how Integer Programming optimizes conference scheduling, maximizing attendee satisfaction through efficient talk allocation to time slots and rooms.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Heaviside Composite Optimization and Complementarity Constraints by Progressive Integer Programming

Explore advanced optimization techniques for Heaviside composite functions and complementarity constraints using the progressive integer programming method.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Microcredential

Operations Research

722 ratings at Coursera

Master mathematical programming and optimization algorithms to solve real-world business and engineering problems through systematic evaluation methods and theoretical foundations.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Advanced Business Analytics: Excel Optimization & Simulation

53 ratings at Coursera

Master advanced Excel modeling techniques for business optimization, from linear programming and sensitivity analysis to simulation methods for data-driven decision-making and strategic problem-solving.

• Coursera
• 14 hours 6 minutes
• On-Demand
• Paid Course

Business Analytics with Excel: Intermediate to Advanced

Master advanced Excel optimization techniques including linear, integer, network, and nonlinear programming with VBA macros for sophisticated business decision-making and multi-objective analysis.

• Coursera
• 12 hours 16 minutes
• On-Demand
• Paid Course

Operations Research (1): Models and Applications

578 ratings at Coursera

This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

• Coursera
• 11 hours 27 minutes
• On-Demand
• Paid Course

Optimization with Python: Complete Pyomo Bootcamp A-Z

367 ratings at Udemy

Learn How to Use CPLEX, IPOPT & COUENNE Solvers to Solve Linear & Non-Linear and Integer Programming Problems in Python

• Udemy
• 9 hours 26 minutes
• On-Demand
• Paid Course

Operations Research (2): Optimization Algorithms

158 ratings at Coursera

Explore optimization algorithms for linear, integer, and nonlinear programs. Learn efficient methods like simplex, branch-and-bound, gradient descent, and Newton's method. Apply concepts to real-world business cases.

• Coursera
• 12 hours
• On-Demand
• Paid Course

Mathematical Optimization with GAMS and Pyomo (Python)

237 ratings at Udemy

Learn how to mathematically formulate 16 business problems and find their optimal solutions with GAMS and Pyomo (Python)

• Udemy
• 8 hours 20 minutes
• On-Demand
• Paid Course

Numerical Optimization and Operations Research in Python

96 ratings at Udemy

Use data efficiently to support decision-making exploring Operations Research and Optimization in Python

• Udemy
• 4 hours 30 minutes
• On-Demand
• Paid Course