LEARNING OUTCOMES
After completing the course:
- The student understands the basic linear techniques for biomedical signal processing from a fundamental and intuitive geometrical perspective.
- The student can give a basic description of commonly used non-linear techniques and knows when to prefer them to linear techniques.
- Given a scientific question and biomedical measurement, the student can select and apply suitable techniques and contribute to data analysis at various stages.
- The student recognizes the risk of overinterpreting the results of an analysis.
Credits: 5
Schedule: 03.09.2024 - 04.12.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Stephane Deny
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:
This course covers some of the essential notions needed to analyse biomedical data, including basic statistical concepts, spectral methods, linear methods and non-linear methods for analyzing time-series and other multi-dimensional data.
Assessment Methods and Criteria
valid for whole curriculum period:
exam, exercises
Workload
valid for whole curriculum period:
lectures, exercise sessions, homework
DETAILS
Study Material
valid for whole curriculum period:
Handouts of lecture slides, and code snippets. Additional material may be made available during the course.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - II