Checking date: 25/05/2022


Course: 2022/2023

Data Analysis
(19479)
Study: Bachelor in Computer Science and Engineering (218)


Coordinating teacher: PATRICIO GUISADO, MIGUEL ANGEL

Department assigned to the subject: Department of Computer Science and Engineering

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Skills and learning outcomes
Link to document

Description of contents: programme
1. Introduction to Data Analysis and Data Mining 2. Machine learning with numeric techniques 3. Numerical learning 4. Evaluation of Machine Learning Models 5. Attribute analysis 6. Methodology of data mining projects 7. Introduction to other advanced techniques (combination, SVM , Fuzzy systems, GAs)
Learning activities and methodology
Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject. Internships and directed laboratory activities.

The course syllabus may change due academic events or other reasons.