Data Processing in the Natural Sciences
Course code
MLJ7022.LT
old course code
MLJ7022
Course title in Estonian
Andmetöötlus loodusteadustes
Course title in English
Data Processing in the Natural Sciences
ECTS credits
6.0
Assessment form
Examination
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
* The objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the natural sciences. This course is designed for students whose future work will require extensive data analysis in research problems of the biological sciences and to enhance students’ competence in integrating and applying data mining techniques in a practical manner.
Brief description of the course
This course is a combination of homework and training. Computer applications are included. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Illustrations and applications are selected from research studies. The pedagogical approach will combine lecturing with problem based and collaborative learning methods. Approximately 12 homeworks will be handed out throughout the course.
Learning outcomes in the course
Upon completing the course the student:
After successfully completing this course, student should be able to explain and apply descriptive statistics to summarize experiment data, select and implement the appropriate data mining procedure needed for a particular experiment paradigm, data collected and question to be answered.
After successfully completing this course, student should be able to explain and apply descriptive statistics to summarize experiment data, select and implement the appropriate data mining procedure needed for a particular experiment paradigm, data collected and question to be answered.
Teacher
Prerequisite course 1
Study programmes containing that course