Data mining and data-based models (OPEN UNI)

Prerequisites and co-requisites It is recommended that this course is taken together or after the course Bio-data and before eventual courses on data management. Molecular biology and Biochemistry courses should be taken before this.

Recommended optional programme components Bio-data

After completing the course, students should be able to:

• understand, find and mine biomedical data sources
• devise strategies for the mining of aggregated and sparse data
• identify static and responsive databases and interact with them
• perform basic data mining operations, including ontological enrichments and pathway/network analysis
• evaluate the quality of data and their usability in further contexts

Mode of delivery Web-based self-study / teaching (local face-to-face teaching will be arranged if the situation allows) 30h of exercise groups, 105h self-studying in the web

Online course (Open university and Continuing education,JOY)

Valerio Izzi

The course is completed by passing all learning assignment and exercises

Timing autumn

Target groups:

• degree students: 2nd year (and beyond) students of biochemistry, 2nd year students of computer science and engineering, electrical engineering, medical and wellness technology
• Continuing education,JOY
• Open university

Contents can vary. Location of instruction: Kontinkangas