CS-E4880 - Machine Learning in Bioinformatics D, Lecture, 3.3.2023-2.6.2023

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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: 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
Prerequisites
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

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof