Market Analysis
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Management Studies |
Instance: 2016/2017 - 1S
Cycles of Study/Courses
| Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
| GCOM |
39 |
Official Bologna Syllabus |
1 |
- |
7,5 |
56 |
202,5 |
Teaching language
Suitable for English-speaking students
Objectives
Master the main methods and techniques useful in market research and in economic and business time-series analysis.
Understand the relevance of information in business studies : models' design, data treatment, analysis of results and presentation of reports.
Buiding quantitative models and data analysis using specialized software (SPSS and EVIEWS).
Read and produce scientific reports in the Business and Management domains.
Learning outcomes and competences
Design, plan, build and analyse relevant information for companies and studies on management and commercial subjects.
Know the scientific methodology to perform market studies and professional and academic reports.
To know surveys' procedures, scales building and proposition of questionnaires.
To know methods and techniques on data analysis.
Use specialized software regarding data analysis.
Working method
Presencial
Pre-requirements (prior knowledge) and co-requirements (common knowledge)
Knowledge on Statistics and linear regression (at the bachelors' level)
Program
- 1- Market research and studies on Commercial Management
(Session 1)
- 2- Sales forecasting and quantitative studies on commercial series. Applied forecasting study
(Sessions 2, 3, 4 e 5)
- 3- Market studies and research questionnaire. Applied case study
(Sessions 5 e 6)
(Sessions 7 e 8)
- 5- Data analysis : factorial and cluster methods. Applied case study
(Sessions 8, 9, 10)
- 6- Complementary explicative models. Multiple regression, ANOVA and Conjoint analysis. Applied case study
(Sessions 11,12)
- 7- Scientific articles (3) study and discussion
(Sessions 13 e 14)
Mandatory literature
Malhotra; Marketing Research, Mc-Graw Hill, 2007
Complementary Bibliography
Hair, Black, Babin, Anderson and Tatham; Multivariate data analysis, 7th ed.,, 2010, Prentice-Hall, 2010
Hanke, Wichern, Reitsch; Business Forecasting, Prentice Hall, 2001
Levy and Lemeshow; Sampling of populations - methods and applications, Wiley, 1991
Teaching methods and learning activities
Classes with mandatory attendance; case studies with real data and specialised software, and participation of students - reports and presentations.
Software
EVIEWS
SPSS
Evaluation Type
Distributed evaluation with final exam
Assessment Components
| Designation |
Weight (%) |
| Exame |
80,00 |
| Trabalho escrito |
20,00 |
| Total: |
100,00 |
Calculation formula of final grade
Report and class attendance (20%) + Written exam (80%).
Note that exam includes questions (with weight of 40%) on three articles which are to be presented by students and discussed during classes.
Examinations or Special Assignments
Students must :
- work on a report (an applied case study with real data on forecasting)
- study 3 proposed articles which are presented (by students) and discussed during class.
Special assessment (TE, DA, ...)
Not applicable
Classification improvement
Not applicable