LEARNING OUTCOMES
The course provides you with basic understanding of high-throughput data and computational methods that are commonly used for analysing the data in biological and biomedical problems. After the course you have skills to apply various computational methods in real biological problems and study the field further.
Credits: 5
Schedule: 09.01.2025 - 21.02.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Juho Rousu
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:
The course introduces computational and statistical methods for analyzing modern high-throughput biological data and their use in systems biology. The course covers data analysis techniques used to analyze various types of high-throughput data, including genomics, transcriptomics, metabolomics and pharmacomics.
Assessment Methods and Criteria
valid for whole curriculum period:
Examination and exercise work.
Workload
valid for whole curriculum period:
Lectures, exercises and exam
DETAILS
Study Material
valid for whole curriculum period:
To be specified in MyCourses at the start of the course.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring III
2025-2026 Spring III