- Lecturer: Rayon Cameron
Category: Department of Economics
Search results: 1119
- Lecturer: Rayon Cameron
Category: Department of Economics
- Lecturer: Nekeisha Spencer
Category: Department of Economics
- Lecturer: Nekeisha Spencer
Category: Department of Economics
- Lecturer: Nekeisha Spencer
Category: Department of Economics
This course will concentrate on linear programming. Linear programming is perhaps the most widely used optimization tool in the modern world. A linear programming problem is an optimization problem that seeks to maximize or minimize a linear function subject to a system of linear inequality and/or equality constraints. Applications of linear programming are diverse. These include transportation problems, corporate planning, inventory control, game theory, production scheduling, and many others. In the course you will learn how to model real world problems as linear programming problems, and solve them using a method called the simplex method. You will also study the theory behind the simplex method and learn how to carry out sensitivity analysis, that is, analyze how your optimal solution changes if certain parameters of your linear programming problem are altered.
Category: Department of Economics
This course will concentrate on linear programming. Linear programming is perhaps the most widely used optimization tool in the modern world. A linear programming problem is an optimization problem that seeks to maximize or minimize a linear function subject to a system of linear inequality and/or equality constraints. Applications of linear programming are diverse. These include transportation problems, corporate planning, inventory control, game theory, production scheduling, and many others. In the course you will learn how to model real world problems as linear programming problems, and solve them using a method called the simplex method. You will also study the theory behind the simplex method and learn how to carry out sensitivity analysis, that is, analyze how your optimal solution changes if certain parameters of your linear programming problem are altered.
- Lecturer: Xhano Soares
Category: Department of Economics
This course will concentrate on linear programming. Linear programming is perhaps the most widely used optimization tool in the modern world. A linear programming problem is an optimization problem that seeks to maximize or minimize a linear function subject to a system of linear inequality and/or equality constraints. Applications of linear programming are diverse. These include transportation problems, corporate planning, inventory control, game theory, production scheduling, and many others. In the course you will learn how to model real world problems as linear programming problems, and solve them using a method called the simplex method. You will also study the theory behind the simplex method and learn how to carry out sensitivity analysis, that is, analyze how your optimal solution changes if certain parameters of your linear programming problem are altered.
- Lecturer: Xhano Soares
Category: Department of Economics
This course will concentrate on linear programming. Linear programming is perhaps the most widely used optimization tool in the modern world. A linear programming problem is an optimization problem that seeks to maximize or minimize a linear function subject to a system of linear inequality and/or equality constraints. Applications of linear programming are diverse. These include transportation problems, corporate planning, inventory control, game theory, production scheduling, and many others. In the course you will learn how to model real world problems as linear programming problems, and solve them using a method called the simplex method. You will also study the theory behind the simplex method and learn how to carry out sensitivity analysis, that is, analyze how your optimal solution changes if certain parameters of your linear programming problem are altered.
- Lecturer: Xhano Soares
Category: Department of Economics
This course is the second of two in Operations Research at the undergraduate level. Operations Research II is tailored to provide an introduction to Game Theory and should not in any way be considered as a natural offshoot or continuation of Operations Research I. This course will provide you with the basic skills needed to analyze economic games. In this course, we will be concerned with the process of setting up game theoretic problems, using an established methodology to analyze these games in order to select the best strategies or decisions for the players, and determine the outcomes of these games. Throughout the course, emphasis will be placed on problems of economic importance, involving individual or firm decision making.
Category: Department of Economics