Linear Programming Courses and Certifications

Convex Optimization I - Lecture 16

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 15

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, covering key concepts and applications in electrical engineering and beyond.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 3

Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Dive deep into mathematical concepts and practical applications in this comprehensive lecture series.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 1

Explore fundamental concepts of convex optimization with Stanford's Stephen Boyd. Gain insights into this powerful mathematical technique for solving complex problems efficiently.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 12

Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Delve into complex mathematical concepts and their practical applications in engineering and data science.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 11

Explore advanced convex optimization techniques with Stanford's Professor Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 10

Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Delve into complex mathematical concepts and their practical applications in engineering and data science.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 9

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Manufacturing Systems I

31 ratings at edX

Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events.

• edX
• 8 weeks, 10-12 hours a week
• On-Demand
• Free Online Course (Audit)

Advanced Algorithms and Complexity

691 ratings at Coursera

Explore advanced algorithms for network flows, linear programming, NP-complete problems, and streaming. Learn to solve complex computational challenges and optimize real-world systems efficiently.

• Coursera
• 1 day 3 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Technology-Assisted Decision-Making

1 review

Explore technology-assisted decision-making, learning graph theory and linear programming to optimize outcomes in various fields. Gain practical skills for data-driven problem-solving and resource allocation.

• Coursera
• 8 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

Approximation Algorithms and Linear Programming

35 ratings at Coursera

Explore linear and integer programming for optimal solutions in resource allocation, scheduling, and task assignment. Learn approximation algorithms for NP-hard problems with guaranteed performance bounds.

• Coursera
• 2 days 27 minutes
• On-Demand
• Free Online Course (Audit)

Approximation Algorithms Part I

552 ratings at Coursera

Explore approximation algorithms for NP-hard problems using linear programming and randomized rounding techniques. Learn to design efficient solutions with provable guarantees for combinatorial optimization challenges.

• Coursera
• 1 day 9 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Operations Research (1): Models and Applications

477 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
• Free Online Course (Audit)

Operations Research (2): Optimization Algorithms

129 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
• Free Online Course (Audit)