|
Week - 1 |
Transportation problem. Production planning problem. GAMS code of the problems and solutions. |
|
Week - 2 |
The Diet Problem. A GAMS Code to Solve the Diet Problem. The Network Flow Problem. A GAMS Code to Solve the Network Flow Problem. |
|
Week - 3 |
The Portfolio optimization problem and using GAMS code to solve it. |
|
Week - 4 |
Mixed-Integer linear programming. The 0-1 Knapsack problem and an input GAMS file to solve this problem. |
|
Week - 5 |
Identifying relevant symptoms and an input GAMS file to solve this problem |
|
Week - 6 |
The academy problem and an input GAMS file to solve this problem.
School timetable problem and an input GAMS file to solve this problem |
|
Week - 7 |
Models of Discrete Location and an Input GAMS File to Solve This Problem |
|
Week - 8 |
Nonlinear programming. Some geometrical problems. The postal package problem. The tent problem. The surface problem. An Iinput GAMS file to solve these problems. |
|
Week - 9 |
Some useful modeling tricks. Understanding the set of all feasible solutions. Lines, Planes, Hyperplanes |
|
Week - 10 |
EN: Linear Spaces. Basis and Dimensions of linear Vector Spaces |
|
Week - 11 |
Convex sets. Polyhedral sets. Cones.
Extreme Points. Extreme Directions. |
|
Week - 12 |
EN: Multi-objective modeling techniques. Formulation of conflicting goals in real-life problems (e.g., cost minimization vs. customer satisfaction maximization) using Goal Programming and Epsilon-Constraint method in GAMS. |
|
Week - 13 |
• Modeling under uncertainty principles. Moving beyond deterministic models: Introduction to stochastic programming, scenario-based modeling logic, and writing scenario analysis codes in GAMS.
|
|
Week - 14 |
Sectoral case study and large-scale integrated modeling. End-to-end modeling, solving, and reporting of a comprehensive problem in supply chain, energy grids, or workforce management using GAMS. |