ELEC-E873901 - AI in health technologies D, Lecture, 13.9.2021-13.12.2021

Inträde för gästanvändare
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, the student

  • can explain the fundamentals of neural networks function.
  • is able to construct, design, implement and run a deep learning based AI analysis project in medical domain.
  • has the skills to select and utilize and the tools for applying AI for the different use cases needed for medical applications.
  • is able to identify and develop the data sets that provide the best results.

Credits: 5

Schedule: 13.09.2021 - 13.12.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Leo Kärkkäinen, Simo Särkkä

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 will contain the basics in deep learning, introduce the student how machine learning is used in different medical domains, and what technologies are appropriate in different use cases. The work has mathematical and programming exercises,  and a project for designing and teaching a neural network for a medical use case.

     

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Project work, exercises, and final examination

Workload

  • valid for whole curriculum period:

    48 h contact teaching, 85 h independent studies

DETAILS

Study Material

  • valid for whole curriculum period:

    See MyCourses

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Period:

    2020-2021

    (2021, 2022) - No teaching

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ELEC-E873901

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

    WebOodi

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

Aalto University Code of Academic Integrity and Handling Violations Thereof