2017/18
27536 - Decision-making systems
4 and 3
Optional
5.1. Methodological overview
As the orientation of course is mainly practical, the contents will be presented in the computer room starting with the resolution of small decision problems. In the final sessions of the course, more complex situations will be handled. In this way, we look forward to develop the attitudes (abilities, habits and qualities) when coping with decision making in complex situations.
5.2. Learning tasks
Learning activities
Expositive sessions will be mixed with the resolution of problems, and in the final part of the course, the sessions will be completely practical.
Activities
|
Contact Hours
|
Autonomous Student Work
|
Total
|
Theory
|
15
|
15
|
30
|
Practice
|
25
|
48
|
73
|
Case Studies (practice)
|
6
|
12
|
18
|
Exams
|
4
|
|
4
|
TOTAL
|
50
|
75
|
125
|
5.3. Syllabus
PART I: INTRODUCTION
Lesson 1. Introduction to Decisional Systems
1.1 Decision Problems and Processes
1.2 Components of a Decisional System
1.3 Computer tools in Business Management
PART II: BUSINESS DECISION MAKING
Lesson 2. Decision Making. Optimisation
2.1 Introduction to Decision Making.
2.2 Optimisation Problems. Modelling and resolution
2.3 Optimisation Software for Decision Making
2.4 Applications in Finance and Accounting
Lesson 3. Decision Making. Simulation
3.1 Introduction to Simulation
3.2 Generation of Random Numbers and Variables
3.3 Simulation Software for Decision Making
3.4 Applications in Finance and Accounting
PART III: DATABASES
Lesson 4. Databases Management
4.1 Introduction to Databases
4.2 Relational Database Model
4.3 Design of Tables and Queries
4.4 Database Management Software: Microsoft Access
PART IV: CASE STUDIES