Syllabus query



Academic Year/course: 2017/18

417 - Degree in Economics

27447 - ICT for Decision-Making


Syllabus Information

Academic Year:
2017/18
Subject:
27447 - ICT for Decision-Making
Faculty / School:
109 - Facultad de Economía y Empresa
Degree:
417 - Degree in Economics
ECTS:
3.0
Year:
4
Semester:
First semester
Subject Type:
Optional
Module:
---

5.1. Methodological overview

Having the subject an orientation eminently practical, the presentation of the contents will take place in the computer room following a professional guidance. In parallel, the exploitation with cognitive purposes of the decisional tools studied in the classroom will be held in a narrative way, using unstructured methods (lateral thinking, group discussion...) for enhancing creativity and emotional skills. When possible, individual class projects will be grouped to be performed in a context of multiple actors, to train the students in the group decision making process (co-decision and co-creation).

5.2. Learning tasks

Apart from the regular lectures in the computer room, according to the schedule described in the next section, the students’ training will be complemented by a minimum of three group tutorials. Furthermore, a collaborative tool for discussion and debate on the more relevant economic and business issues will be enabled.

5.3. Syllabus

Unit 0: Presentation of the subject (objectives, programme, methodology, schedule, assessment)

Unit 1: Introduction to Decision Support Systems

-          1.1 Decision-making problems and decision-making processes

-          1.2 Components of a Decision Support System

-          1.3 Case study: Google Maps

-          1.4 Case study: a shipment planning system

Unit 2: Optimization of economic problems

-          2.1 Linear optimization

-          2.2 Distribution routing and distribution networks

-          2.3 Decision making under uncertainty

-          2.4 Multi-criteria optimization techniques

Unit 3: Design and exploitation of data bases

-          3.1 Relational database model

-          3.2 Office and corporate database management systems

-          3.3 Design of relational data bases

-          3.4 Query design

5.4. Course planning and calendar

Week

Type

Contents

1

Theoretical-practice

Introduction to the subject

2

Theoretical-practice

Introduction to Decision Support Systems

3

Theoretical-practice
Practice

Group tutoring

Optimization of economic problems

Optimization with Microsoft Excel Solver

Groupwork assignment

4

Practice

Linear optimization – Continuous Programming

5

Practice

Linear optimization – Integer and binary programming

6

Practice

Distribution routing and distribution networks

7

Practice

Decision making under uncertainty – Portfolio optimization

8

Practice

Decision making under uncertainty – Game theory

9

Practice

Multi-criteria optimization techniques – Goal programming

10

Practice
Group tutoring

Multi-criteria optimization techniques – Compromise optimization

Groups progress monitoring

11

Theoretical-practice Practice

Design and exploitation of data bases

Data base design with Microsoft Access

12

Practice

Query design – Selection queries

13

Practice

Query design –  Aggegated data queries

14

Practice

Group tutoring

Query design – Update queries

Groups progress monitoring

15

Practice

Group projects presentation – Assessment