From Zero to Hero

Complete guide to Modern Mathematical Optimization in GAMS

Name: Structured GAMS Modeling from Mathematical Theory to Application
Rating: 7.6

InstructorOptimization Team

Duration2h 56m

Students15.4K

Rating4.6 (228)

Structured GAMS Modeling from Mathematical Theory to Application

Strengths

Logical Syntax Progression

The path establishes a foundation in GAMS data structures including sets, parameters, and scalars before moving to control flow via loops and conditional statements.

Mathematical Problem Application

Instruction applies GAMS to specific mathematical challenges such as the Steiner problem, Herons Problem, and Traveling Salesperson (TSP).

Limitations

Limited Instructional Duration

The total duration of approximately 176 minutes limits the depth of technical exploration compared to more extensive software training programs.

Best suited to

Beginners with no prior programming knowledge
Engineering and Applied Mathematics students
Operations Research practitioners

Less suited to

Learners seeking long-form, deep-sive software mastery
Advanced programmers looking for complex coding paradigms

Comidoc Score

7.6/10

Recommended

Beginner-friendly

Comidoc verdict

The learning path begins with essential GAMS syntax, covering data structures like sets and parameters before transitioning into specific optimization models such as Linear and Mixed-Integer programming. This progression allows learners to build a functional understanding of how to define and execute mathematical models.

Instructional signals highlight the use of practical problems—including the Traveling Salesperson problem—to demonstrate application. The difficulty increases at a steady pace, making the technical content accessible even for those without a background in computer programming.

This course is best suited for students in engineering or applied mathematics who need to quickly implement mathematical optimization models using GAMS.

Score breakdown