Aviso: Se está a ler esta mensagem, provavelmente, o browser que utiliza não é compatível com os "standards" recomendados pela W3C. Sugerimos vivamente que actualize o seu browser para ter uma melhor experiência de utilização deste "website". Mais informações em webstandards.org.

Warning: If you are reading this message, probably, your browser is not compliant with the standards recommended by the W3C. We suggest that you upgrade your browser to enjoy a better user experience of this website. More informations on webstandards.org.

Sub Menu
ISCTE-IUL  >  Education  >  ISCTE-IUL

Fundamentals of Quantitative Methods (1 º Sem 2018/2019)

Code: 02333
Acronym: 02333
Level: 2nd Cycle
Basic: No
Teaching Language(s): English
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 0 0.0 h/sem 9.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 9.0 h/sem -9.0 h/sem 0.0 h/sem 0.0 h/sem
Since year 2017/2018
Pre-requisites n.a.
Objectives The main purpose of this course is to enable students to apply main concepts of mathematics and statistics to real situations in business and institutional environments.
Program MATHEMATICS
1. Review of the most important mathematical concepts: sets, functions, derivatives, and matrices;
2. The importance of linear and nonlinear functions in the relationship between economics and management phenomena;
STATISTICS
3. Descriptive statistics;
4. Probability and distribution theory;
5. Statistical inference.
Evaluation Method n.a.
Teaching Method The following learning methodologies (LM) will be used:

1. Expositional, to the presentation of the theoretical reference frames
2. Participative, with analysis and resolution of application exercises
3. Active, with the realization of individual and group works
4. Experimental laboratory, with development and operation of computer models
5. Self-study, related with autonomous work by the student, as is contemplated in the Class Planning.
Observations
Basic Bibliographic EM PORTUGUÊS:
José Dias Curto, "Estatística: muitas aplicações em Excel e poucas fórmulas", Edição de autor: http://bit.ly/2c9usVN

IN ENGLISH:
Alpha C Chiang (2005), Fundamental Methods of Mathematical Economics (4th edition).

James T. McClave, P. George Benson, and Terry Sincich (2012), Statistics for Business and Economics (12th Edition).
Complementar Bibliographic Não se considera necessária.