Course Overview

The course is divided into eight modules which teach students to solve complex search problems with high optimization algorithms. These also include programming, local search, and mixed integer programming.

The class is an introduction to the discrete form of optimization and helps expose the students to fine and discrete concepts. It covers constraint programming, local search, and other programming from the foundations themselves. The course will elaborate on the problem areas like scheduling vehicle routing, supply chain, and allocation of resources. optimization is very ubiquitous to our society and having knowledge about it on a larger basis is very important. The course hence fills all the needs for completing the study on it.

• Constraint Programming
• Branch and Bound
• Discrete Optimization
• Linear Programming

Requirements

• Basic knowledge of optimization.
• A computer or laptop with internet connectivity.
• Learn about techniques of Discrete Optimization in approximately 65 hours.
Flexible work schedule.

AccessTo Career Resources with Discrete Optimization course

Enroll Free

Enhanced Employability:

An outstanding Discrete Optimization Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of Discrete Optimization skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Discrete Optimization courses provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.