Operational Research

Code:

EIC0037

Acronym:

IOPE

Keywords
Classification	Keyword
OFICIAL	Quantitative Methods and Management

Instance: 2008/2009 - 2S

Active?	Yes
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIC	127	Syllabus since 2006/2007	4	-	5	56	135

Teaching language

Portuguese

Objectives

The aim of this course to provide the students with competences to:
- identify decision problems;
- apply the different phases of the methodology for a decision problem resolution, in particular defining and structuring problems, building models, applying quantitative methods for obtaining a solution
- analyse critically the obtained solution
- understand the relevance of the role of an "agent of change" in the organizations

Program

1- Linear Programming
- problem formulation
- graphical resolution and sensitivity analysis
- Simplex Method
- Duality
2- Special cases of linear programming
- Transportation Problems
- Assignment problems
3- Network Problems
4- Project Management
5- Decision Theory
6- Cases of application of metaheuristics

Mandatory literature

Hillier, Frederick S.; Introduction to operations research
Hillier F., Lieberman G.; Introduction to Operations Research, McGraw-Hill, 2005. ISBN: 007-123828
Hillier, Frederick S.; Introduction to operations research
Hillier F., Lieberman G.; Introduction to Operations Research, McGraw-Hill, 2005. ISBN: 007-123828

Teaching methods and learning activities

This course is based on the following procedures:
A1. Theorectical concepts
The theorectical concpts are exposed in the classes and the students should learn through study and conceptualizing activities.
A2. Exercises and Case studies
Applied exercises and corresponding resolutions are provided to the students in lab classes.

keywords

Physical sciences > Mathematics > Applied mathematics > Operations research
Physical sciences > Mathematics > Applied mathematics > Operations research

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	52,00
Group project	Trabalho escrito	19,00
Examinations	Exame	4,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Study	Estudo autónomo	60
	Total:	60,00

Eligibility for exams

It is needed to obtain a minimum of 6 in 20 in each evaluation test


As provas escritas serão sem consulta.

Calculation formula of final grade

The final classification is calculated based on the grades obtained in two writen tests and a case study.
Each test has a weight of 40%.
The case study has a weight of 20%.

Examinations or Special Assignments

Not applicable

Classification improvement

The students who wish to improve their course classification can do it in the next academic year.