Discrete Optimization Courses and Certifications

Hausdorff Center for Mathematics

Continuous Approaches to Discrete Optimization

Explore cutting-edge research connecting continuous optimization methods to discrete problems through expert talks on interior point methods, algorithms, and computational advances.

• YouTube
• 16 hours 4 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Summer School on Modern Directions in Discrete Optimization

Explore cutting-edge techniques in discrete optimization including parameterized algorithms, tropical geometry applications, interior point methods, and approximation algorithms.

• YouTube
• 15 hours 13 minutes
• On-Demand
• Free Video

Unleashing the Power of Discrete Optimization in the New Era of AI

Explore cutting-edge discrete optimization techniques and their applications in modern AI systems, focusing on Meta's innovative approaches and real-world implementation strategies.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Introduction to Interior Point Methods for Discrete Optimization, Lecture I

Explore interior point methods for optimization, their recent advancements, and applications in solving various continuous and combinatorial problems efficiently.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Discrete Optimization-Aided Structured Learning at Scale - IPAM at UCLA

Explore discrete optimization techniques for structured learning, featuring algorithmic aspects, statistical setups, and approaches to feature selection and learning trees.

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

Basic Modeling for Discrete Optimization

458 ratings at Coursera

Aprenda a modelar e resolver problemas complexos de otimização discreta usando MiniZinc, uma linguagem de alto nível que utiliza tecnologias avançadas de resolução industrial.

• Coursera
• 1 day 3 hours 18 minutes
• On-Demand
• Paid Course

Advanced Modeling for Discrete Optimization

141 ratings at Coursera

Explore advanced discrete optimization techniques, focusing on debugging models, using predicates, and solving complex scheduling and packing problems with state-of-the-art modeling languages and constraint solving software.

• Coursera
• 1 day 22 hours 29 minutes
• On-Demand
• Paid Course

Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

• edX
• 5 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Solving Algorithms for Discrete Optimization

44 ratings at Coursera

Explore advanced solving techniques for discrete optimization problems, enhancing modeling skills and solver selection. Learn constraint programming, mixed integer programming, and local search methods.

• Coursera
• 21 hours 52 minutes
• On-Demand
• Paid Course

Institute for Pure & Applied Mathematics (IPAM)

Machine Learning Inside MIP Solvers - IPAM at UCLA

Explore machine learning applications in MIP solvers, focusing on cutting planes and numerical stability. Gain insights into enhancing solver performance for general MIP benchmarks.

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

Institute for Pure & Applied Mathematics (IPAM)

Integer Optimization for Predictive & Prescriptive Analytics in High Stakes Domains

Explore integer optimization techniques for developing interpretable, robust, and fair decision-tree models to assist high-stakes decision-making in social services and healthcare domains.

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

Institute for Pure & Applied Mathematics (IPAM)

Learning for Decision-Making Under Uncertainty - IPAM at UCLA

Explore data-driven methods for uncertainty in decision-making, including mean robust optimization and techniques to reshape uncertainty sets, with applications in portfolio optimization and inventory management.

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

Hausdorff Center for Mathematics

Optimal Learning from Data

Explore optimal learning from data, including error recovery, discrete optimization, and handling noisy measurements. Insights on deep learning and stochastic settings provided.

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

GERAD Research Center

Some Approaches for Solving the Discretely-Constrained Mixed Complementarity Problem (DC-MCP)

Explore approaches for solving discretely-constrained mixed complementarity problems in energy and transportation, combining integer restrictions with MCP systems and considering equity aspects.

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

Simons Institute

Recent Progress on Submodular Function Minimization

Explore recent advancements in submodular function minimization algorithms, leveraging convex optimization methods to address open questions and improve efficiency in discrete optimization.

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