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Scheda Riassuntiva
Anno Accademico 2018/2019
Tipo incarico Dottorato
Insegnamento 050675 - CASE STUDY AND CONTENT ANALYSIS METHODOLOGIES
Docente Arnaboldi Michela
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1386) - INGEGNERIA GESTIONALE / MANAGEMENT ENGINEERINGAZZZZ050675 - CASE STUDY AND CONTENT ANALYSIS METHODOLOGIES

Programma dettagliato e risultati di apprendimento attesi

The course aims at providing PhD candidates the state of the art, theoretical advancement and methodologies for CASE STUDY AND CONTENT ANALYSIS in management, economics and industrial engineering research, encompassing both qualitative and quantitative data.

The course fits into the overall program curriculum pursuing some of the expected learning goals. In particular, the course contributes to the development of the following capabilities:

  • Ability of identifying, structuring, and solving meaningful research questions in the fields of economics, management, and industrial engineering
  • Ability of selecting, applying, and developing research methods in engineering and social sciences

At the end of the course students are expected to be able to:

  • Identifying meaningful research questions, also by defining them and differentiating them from similar problems
  • Structuring these research questions, also by critically assessing them and by linking them to extant knowledge for unearthing relevant gaps
  • Solving these research questions, by developing an appropriate theoretical framework and producing rigorous empirical evidence
  • Matching and relating theories and methods
  • Applying mainstream research methods
  • Experimenting extant methods in new settings
  • Inventing new methods, when needed

Note Sulla Modalità di valutazione

The course assessment is based on individual achievement and participation and group work capabilities.

More specifically students have to:

  • Complete with a positive evaluation the individual assignment
  • Actively participate in the class and group activities

 


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

The course is held in March/April 2019 and it is articulated in two parts.

Part I - Case Study

  • Introduction to qualitative research
  • Case study:
    • Definition and type
    • Collecting data
    • Analyzing data
    • Interpreting the findings
    • Criteria for evaluating case study

Part II - Data Mining

Introduction to data mining

Supervised and unsupervised learning:

- Principal methods

- Model building

- Model evaluation and interpretation of the results

Application of data mining methods to real-world cases

 


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
20.0
esercitazione
5.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese

Note Docente
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
14/12/2019