The goals will focus on:
Understand the scientific method.
Know how to put a data science problem in a scientific format.
Know how to do a systematic bibliographic search and determine the State of the Art.
SYLLABUS
1. The scientific method
2. Bibliography and the state of the art
3. Hypothesis generation and questions
4. Experimental design
5. Validation and theoretical approaches
Note: Topics can be adjusted and/or modified at the discretion of the master's coordination.
The methodology used combines master classes, student participation, practical exercise at class and solving a challenge or doing a research exercise as final work. For the student, this will involve group work with an oral presentation at class and a written assessment.
This subject will be assessed on a continuous via the development of a challenge proposed or by a research work on already existing solutions in some scientific context and a final presentation in class and an individual assessment.
Continuous assessment
This subject will be assessed on a continuous via the development of a challenge proposed or by a research work on already existing solutions in some scientific context and a final presentation in class and an individual assessment.
The final grade will be a weighting of:
- Group work: 45%
- Individual assessment: 45%
- Class participation: 10%
Extraordinary call
The exam and/or works of extraordinary call will be determined from the coordination of the subject.
Copies regulations
The subject is governed by the general regulations of copies of La Salle Campus BCN:
https://www.salleurl.edu/en/copies-regulation
The training activities will be considered to have the following category:
Group work and individual assessment: highly significant
The bibliography will be detailed throughout the course.
All class material (presentations, exercises, articles, documents, etc.) will be shared in the subject folder of the La Salle Intranet: eStudy.