Code: | 2MADSAD06 | Acronym: | ECD II |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Information Technology |
Active? | Yes |
Web Page: | http://moodle.up.pt/course/view.php?id=1962 |
Responsible unit: | Agrupamento Científico de Matemática e Sistemas de Informação |
Course/CS Responsible: | Master in Modeling, Data Analysis and Decision Support Systems |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MADSAD | 41 | Bologna Official Syllabus | 1 | - | 7,5 | 56 | 202,5 |
At the end of the semester students should have the knowledge of various Data Mining tasks, the main methods and algorithms for each task, be able to apply these methods to new specific data analysis problems and have the capacity to evaluate, apply a critical posture in relation to results.
Knowledge of various Data Mining tasks, the main methods and algorithms for each task; capacity to apply these methods to new specific data analysis problems and to evaluate and adopt a critical posture in relation to results.
Text Mining & Web Mining. Metalearning. Analysis of spatio-temporal data Data streams: classification, clustering, change detection. Social network analysis.
Theretical-practical classes
Description | Type | Time (hours) | Weight (%) | End date |
---|---|---|---|---|
Practical assignment in group | Trabalho escrito | 100,00 | ||
Total: | - | 100,00 |
Presence at 75% of classes is a condition for obtaining a grade.
The grade is an arithmetic mean of individual practical works.
It is possible to submit the second version of one practical assignment under the following conditions:
The grade of the second version of the assignment cannot exceed the grade of the first version by more than two values.