1. Início
  2. NOVA Information Management School
  3. Pós-Graduação em Gestão de Informação e Business Intelligence na Saúde
  4. Engenharia de Marketing

Engenharia de Marketing

Objetivos

This course is tailored for students enrolled in MIS or Marketing programmes at the Master level.

Caracterização geral

Código

200172

Créditos

7.5

Professor responsável

Horas

Semanais - A disponibilizar brevemente

Totais - A disponibilizar brevemente

Idioma de ensino

Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês

Pré-requisitos

1. Marketing Engineering and Analytics

2. Assessing Customer Value

3. Segmentation and Targeting

4. Positioning

5. Forecasting

6. New Product Development

7. Marketing Mix

8. Digital Marketing

Bibliografia

Lilien, Gary; Arvind Rangaswamy; Arnaud de Bruyn (2017) Marketing Engineering and Analytics (3rd edition). DecisionPro, Pennsylvania, USA.

Método de ensino

Regular Season: continuous assessment, minimum 80% of class attendance

a) Individual Exam - the score of at least 8 points: 50%;

b) Team assignments, case studies, exercises - score of at least 10 points: 50%.

Final score of at least 10 points for approval.

Students who choose only the individual exam, minimum of 9,5 and the exam accounts 100% for final grade.

Re-sitting: Students who fail in the regular season or wish to try improving their grade. Exam accounts 100% for final grade, minimum score 9,5 points.

Método de avaliação

This course is entirely taught in English

Conteúdo

Student should acquire analytical, information gathering, written and oral communication skills.

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, analysis and discussion of case studies, and of support and reading texts;

3.Active with the development of individual and group assignments;

4.Self-study related with autonomous work by the student.