Course Unit Page
-
Teacher Gianluca Moro
-
Credits 3
-
Teaching Mode Traditional lectures
-
Language English
-
Campus of Bologna
-
Degree Programme Second cycle degree programme (LM) in Artificial Intelligence (cod. 9063)
Academic Year 2022/2023
Learning outcomes
At the end of the course, the student is able to apply the knowledge acquired in Data Mining, Text Mining And Big Data Analytics in order to carry out autonomously a project focusing on a topic agreed upon with the teacher.
Course contents
See 91262 - Data Mining, Text Mining and Big Data Analytics [http://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2020/446610]
Readings/Bibliography
See 91262 - Data Mining, Text Mining and Big Data Analytics [http://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2020/446610]
Teaching methods
Assignment of a project work, to be developed individually on the topics of one of the modules; tutoring will be available on demand.
Assessment methods
Presentation with powerpoint/pdf and live demo of the software.
Evaluation of the delivered software, which must include:
- short report (in English)
- installation instructions
- quality of the code
- quality of the documentation (in English)
- reference to the test data
If the project is developed in a Jupyter notebook (a colab notebook is preferred for text mining project), the report and the above mentioned information should be included in the same notebook, which should be self-contained, namely it should run without any teacher revision, e.g. each dataset, model and so on should be automatically downloaded by the notebook code.
Teaching tools
See 91262 - Data Mining, Text Mining and Big Data Analytics [http://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2020/446610]
Office hours
See the website of Gianluca Moro
Alumni