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

After the course students will have a basic understanding of statistical data analysis methods that are used in various genetics, biomedicine, personalized medicine and digital health problems. Students will learn to apply various statistical methods in biomedical problems as well as presentation and team work skills.

Credits: 5

Schedule: 04.03.2022 - 27.05.2022

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):

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 statistical methods for analyzing high-throughput biological data in various genetics and personalized medicine problems, including e.g. genetic association analysis, survival analysis, biomarker identification and drug response modeling.

Assessment Methods and Criteria
  • valid for whole curriculum period:

     Exercise work/Project assignments.

Workload
  • valid for whole curriculum period:

    24 + 12 (4 + 2)

DETAILS

Study Material
  • valid for whole curriculum period:

    To be specified in MyCourses at the start of the course.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Lectured every other year, alternating with CS-E4880.

    Teaching Period:

    (2020, 2021) - No teaching

    2021-2022 Spring IV-V

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=CS-E5890

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