Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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.
After the course, the student knows how to carry out a scientific project and write a scientific report in the field of computer and information science.
Schedule: 16.09.2020 - 26.05.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Jorma Laaksonen
Teacher in charge (applies in this implementation): Jorma Laaksonen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
A project work, done alone or in a group, from the field of machine learning, data science and artificial intelligence.
Assessment Methods and Criteria
Assesment based on the report and presentation.
Seminars. independent or group work (discussions with supervisor, programming, reporting, presentation and its preparation).
Substitutes for Courses
Substitutes course CS-E4870 Research Project in Machine Learning and Data Science
Sufficient courses in machine learning, data science and artificial intelligence
- Teacher: Jorma Laaksonen