Credits: 5

Schedule: 14.09.2016 - 07.12.2016

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II (Autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

At the end of the course, the students shall have familiarized themselves with core concepts and theory of imaging, and applied these concepts by analyzing imaging systems and estimating/reconstructing various images. Meanwhile, students have also learned problem solving, algorithmic thinking, mathematical programming, information visualization, collaborative working, and reporting.

Content (valid 01.08.2018-31.07.2020): 

This is a course on principles of imaging: image reconstruction (inverse problem), analysis of linear imaging systems, and physical mechanisms of image formation. These principles are illustrated through some tomographic and electromagnetic biomedical imaging methods.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Teaching Methods: Lectures that introduce concepts and prepare for exercises; exercises done in small groups and reported individually; individual essays and other written reports; feedback.

Assessment Methods and Criteria: The course requires active participation throughout the semester. The grading is based on exercise solutions (appr. 80%) and other written reports (appr. 20%). There are appr. five exercise reports and five other reports to be returned along the semester; all  reports must be timely handed in.


Workload (valid 01.08.2018-31.07.2020): 

  • Lectures: 10–11 x 2h
  • Exercise sessions: 10–18 x 2 h
  • Self / small-group study: 75–95 h

Study Material (valid 01.08.2018-31.07.2020): 

The course material consists of lecture slides and/or memos and exercise problems. Students are expected to find further information themselves. The key material, exercise solutions and reports, will be produced by students.

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Bachelor-level courses in physics and mathematics, basic Matlab skills (scripting, writing own functions, plotting).

Grading Scale (valid 01.08.2018-31.07.2020): 

0 to 5

Registration for Courses (valid 01.08.2018-31.07.2020): 

Via WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

The course is planned for students of BME and NEURO MSc majors. It is also suitable for MSc students of applied physics. If you do not belong to these groups, please contact the teacher-in-charge before enrolling.