Introduction to optimization

Code:

IO01

Acronym:

IO

Keywords
Classification	Keyword
CNAEF	Engineering and related techniques

Instance: 2021/2022 - 2S (of 02-03-2022 to 15-07-2022)

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Introduction to optimization

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
IO	0	Syllabus	1	-	1,5	12	40,5
L.BIO	1	Syllabus	2	-	1,5	12	40,5
L.EM	23	Syllabus	2	-	1,5	12	40,5
L.EQ	11	Syllabus	2	-	1,5	12	40,5
M.EA	0	Syllabus	1	-	1,5	12	40,5
M.EMAT	0	Syllabus	1	-	1,5	12	40,5
M.EQ	0	Syllabus	1	-	1,5	12	40,5

Teaching language

Portuguese

Objectives

The general objective is to train participants in the formulation of optimization problems and their resolution using appropriate computational tools

Learning outcomes and competences

• Ability to formulate optimization problems and their resolution using appropriate computational tools


• Time management


• Preparation of scientific reports


• Oral presentations

Working method

Presencial

Program

• Formulation of optimization problems.


• Problems with and without restrictions.


• Linear and non-linear problems.


• Convex problems.


• Iterative methods.


• Use of computational tools to solve problems.


• Applications in different domains.

Mandatory literature

R. Fletcher; Practical methods of optimization. ISBN: 0-471-27711-8 vol.1 0-471-27828-9 vol.2
K. Baker; Optimization Modeling with Spreadsheets, Wiley, 2015

Teaching methods and learning activities

According to the program, the classes comprise the theoretical-practical typology, consisting of lectures to expose the subjects to be dealt with, with illustration of concepts, accompanied by examples and demonstrations for the implementation of iterative methods. Students will have the possibility to apply and test the knowledge acquired by carrying out weekly assignments in an environment outside the classroom.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	28,50
Frequência das aulas	12,00
Total:	40,50

Eligibility for exams

active participation in classes

Calculation formula of final grade

T: weekly assignments carried out in an out-of-class environment, with oral presentations

E: final exam to be carried out in a computer environment

Final classification calculation formula = 40% T + 60% E