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: 03.03.2023 - 02.06.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Juho Rousu, Vikas Garg
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
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 work in selected topics.
Assessment Methods and Criteria
valid for whole curriculum period:
To be specified in MyCourses at the start of the course.
Workload
valid for whole curriculum period:
The course workload consists mostly of independent work (115 hours) and small amount of contact teaching (12 hours).
Details will be specified in MyCourses at the start of the course.
Course cannot be completed remotely.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
4 Quality Education
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring IV - V
2023-2024 No teaching