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 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: 24.10.2023 - 11.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Harri Lähdesmäki

Contact information for the course (applies in this implementation):

Slack channel : https://join.slack.com/t/htb2023/shared_invite/zt-25y73pfac-7M3PGAox0LkgOnzBVl8o0Q

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 microarray, high-throughput sequencing (HTS), single-cell and mass-spectrometry technologies and computational methods for HTS data alignment, genotyping, gene expression analysis, chromatin immunoprecipitation sequencing, epigenetics and proteomics. Relevant high-throughput measurement technologies are reviewed during the course.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Examination and exercise work.

Workload
  • valid for whole curriculum period:

    24 + 12 (4 + 2)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II

    Enrollment :

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.