Modelling and Optimization

Objectives

Optimization techniques are based on quantitative methods, and the general goal is to find the optimal way of designing and operating a system, usually under conditions of scarcity. This course is an introduction to linear optimization and its extensions, and will be taught by example, solving real world problems from the main functional areas of business (finance, operations, resource economics and marketing) with computer software, optimization formulations and algorithms. 


General characterization

Code

1307

Credits

7.5

Responsible teacher

Patrícia Xufre

Hours

Weekly - Available soon

Total - Available soon

Teaching language

English

Prerequisites

Mandatory precedence: 1303. Linear Algebra

Bibliography

Winston, W. (2004). Operations Research, Applications and Algorithms 4th ed; International student edition. South-Western, Cengage Learning. ISBN: 978-0-534-42362-9.

Albright, S. Christian and Winston, Wayne L. (2012). Management Science Modeling; International student edition. South-Western, Cengage Learning. ISBN: 978-1-111-53245-1.

Winston, Wayne L., and Christian Albright, S. Christian (2019). Practical Management Science, 6th Edition. South-Western, Cengage Learning. ISBN: 978-1-337-40665-9.

Hillier, F. and Lieberman, G. (2011). Introduction to Operations Research, 11th edition, McGraw-Hill. ISBN: 978-1-259-87299-0.


Teaching method

Two theoretical classes per week (1,5 hrs each) and one practical class per week (1,5 hrs). Some of the classes (theoretical and practical) will be held on the computer Lab. In class excel exercises, team assignment, problem sets, midterm and final exam. 

Evaluation method

There will be a final exam worth 40% of your final grade. The remaining part of your grade will be allocated to a Project (team of 3/4 students) (25%), one in class excel case ( 10% ) and a midterm exam ( 25% ).


Subject matter

1. Introducing Operations Research

2. Linear Programming

3. Duality and Sensitivity Analysis

4. Transportation Problems

5. Integer Programming

6. Network Models

Programs

Programs where the course is taught: