Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Fully Online
Duration
Not Available
Details
Program Details
Degree
Courses
Major
Biomedical Engineering | Data Analysis | Data Science
Area of study
Information and Communication Technologies | Natural Science
Education type
Fully Online
Course Language
English
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


Data Mining and Data-Based Models Course

Course Information

The Data Mining and Data-Based Models course is a 5-credit course that runs from August 30, 2024, to December 30, 2024. The registration period is from August 8, 2024, to September 28, 2024.


Course Description

This course focuses on finding and analyzing big data online and learning how to apply this knowledge to beat diseases. The course covers sources and types of biomedical data, aggregated vs. sparse data, and the use of data for hypothesis generation and validation.


Prerequisites

It is recommended that students take this course together with or after the Bio-data course and before any courses on data management. Students should also have a background in molecular biology and biochemistry.


Course Objectives

After completing the course, students should be able to:


  • Understand, find, and mine biomedical data sources
  • Devise strategies for mining aggregated and sparse data
  • Identify static and responsive databases and interact with them
  • Perform basic data mining operations, including ontological enrichments and pathway
    etwork analysis
  • Evaluate the quality of data and their usability in further contexts

Course Format

The course is web-based and includes 30 hours of exercise groups and 105 hours of self-study. The course is taught in English.


Target Groups

The course is designed for:


  • 2nd-year (and beyond) students of biochemistry
  • 2nd-year students of computer science and engineering, electrical engineering, medical and wellness technology
  • Continuing education and Open University students

Course Completion

The course is completed by passing all learning assignments and exercises.


Additional Information

The course location is Kontinkangas, and the contents may vary.


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