ISCTE-IUL > Education > PGGG

Quantitative Methods Applied to Management (2 º Sem 2018/2019)

Code:	M1608
Acronym:	M1608
Level:	2nd Cycle
Basic:	No
Teaching Language(s):	Portuguese
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.

Semester	ECTS Credits	Theoretical Lesson (T)	Theoretical and Pratical Lesson (TP)	Practical and laboratorial lesson (PL)	Seminary (S)	Field Work (TC)	Training Period (E)	Tutorial Orientation (OT)	Contact Hours	Autonomous Work	Others (O)	Total Load Hours [?]Contact Hours + Autonomous Work
1	6.0	0.0 h/sem	20.0 h/sem	0.0 h/sem	0.0 h/sem	8.0 h/sem	0.0 h/sem	2.0 h/sem	30.0 h/sem	120.0 h/sem	0.0 h/sem	150.0 h/sem


Since year	2018/2019
Pre-requisites	-
Objectives	The main purpose of this course is to enable students to apply statistical and econometric tools to real situations in business and institutional environments.
Program	1.Descriptive statistics 2.Statistical inference. 3.Correlation analysis 4.Multiple linear regression model.
Evaluation Method	In addition to strict compliance with the program regulation, the periodical evaluation method requires a minimum class attendance of 60% and: - An assignment (individual or in group) with a weight of 30%; - An individual test, with a weight of 70% and a minimum grade of 10 points. Alternatively, the final exam, similarly to phase two exams, will account for 100% of the final grade, disregarding the periodical assessment component.
Teaching Method	Each student should acquire analytical, information gathering, written and oral communication skills, that will be used in methodologies: 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 works 4.Experimental laboratory, with development and operation of computer models 5.Self-study, related with autonomous work by the student.
Observations	-
Basic Bibliographic	-Curto, José Dias (2017), Potenciar os negócios? A Estatística dá uma ajuda! Muitas aplicações em Excel e poucas formulas... -Materiais a distribuir pelo docente.
Complementar Bibliographic	Greene, William (2011), Econometric analysis, Prentice-Hall, Seventh edition.