Data models and methods, module 2

5 ECTS credits, Academic Year 2022-2023, NB00AF28
This free online course introduces the use of machine learning methods for biomedical data.
The course is meant for everyone interested in the application of machine learning methods to biomedical data.

Enrollment period

-

Mode of delivery

Web-Based Studies
Independent study

Course study period

-

Education information

This course is part of a study module:

Neural network architectures, activation functions, loss functions, batch sizes, gradient descent algorithm, learning rates, back propagation, overfitting, regularization, Keras and Tensorboard.

Education format

Continuous learning
Continuing training

Semester

Academic Year 2022-2023

Discipline

Biochemistry

Course organiser

University of Oulu

Location

online

Prerequisities and co-requisites

It is recommended that this course is taken after the courses “Bio-data”, “Data mining and data-based models”, “Elementary Programming” and “Mathematics for biomedical data analysis” from the minor programme in bioinformatics if these courses are in the student’s curriculum.

It is recommended that this course is taken after the courses “Data models and methods, module 1” and “Data analysis in practice, module 1” from the continuous education programme in bioinformatics and data analytics. It is recommended that this course is taken together or after the course“Data models and methods, module 2” from the continuous education programme in bioinformatics and data analytics.

Contact information

More information and contact information

Krista Juurikka, krista.juurikka@oulu.fi
Last updated: 10.8.2023