Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
The students will learn how machine learning used in different bioinformatics applications.
Students will get training on scientific work, presenting research and giving feedback on other student's work.
Credits: 5
Schedule: 05.03.2021 - 28.05.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Juho Rousu
Teacher in charge (applies in this implementation): Juho Rousu
Contact information for the course (valid 01.02.2021-21.12.2112):
See course homepage
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
Machine learning is one of the cornerstone technologies in bioinformatics, used in numerous tools and applications. This course probes the state of the art in selected machine learning problems and the associated methods in bioinformatics, through introductory lectures and student's own presentations in selected topics.
Applies in this implementation:
See course homepage
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
To be specified in MyCourses at the start of the course.
Applies in this implementation:
See course homepage
Workload
Applies in this implementation:
See course homepage
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
To be specified in MyCourses at the start of the course.
Applies in this implementation:
See course homepage
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
T-61.6080 Special Course in Bioinformatics II, CS-E4860 Special Course in Bioinformatics.
Prerequisites
Valid 01.08.2020-31.07.2022:
Required: Basic knowledge in data analysis/machine learning
Recommended: Basic knowledge in bioinformatics
SDG: Sustainable Development Goals
3 Good Health and Well-being
FURTHER INFORMATION
Details on the schedule
Applies in this implementation:
See course homepage
- Teacher: Rousu Juho