LEARNING OUTCOMES
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.
Credits: 5
Schedule: 15.09.2021 - 10.12.2021
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Matti Stenroos
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 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 for whole curriculum period:
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.
applies in this implementation
The course consists of a one-week introduction and four two-week parts. In the introduction, there is an exercise set. In other parts, there is an exercise set and a concept task. To pass the course, the student needs to return at least four exercise sets and three concept tasks by the respective deadlines, and get enough points. In addition, the student needs to contribute to peer review and grading of at least three concept task rounds (in which (s)he also returned the concept task).
The Introduction exercise (Part 0) and both the exercise and concept task of Part I are mandatory.
The maximum points of the course is 450,
Introduction 50p
Parts I -- IV: each exercise set 80p, concept task 20p
Workload
valid for whole curriculum period:
- Lectures: 10-11 x 2h
- Exercise sessions: 10-18 x 2 h
- Self / small-group study: 75-95 h
DETAILS
Study Material
valid for whole curriculum period:
The course material consists of lecture slides and/or notes and exercise problems. Students are expected to find further information themselves. The key material, exercise solutions and reports, will be produced by students.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
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. The number of participants may be restricted, and the participants may be pre-selected.
Teaching Period:
2020-2021 Autumn I-II
2021-2022 Autumn I-II
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=NBE-E4000
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.
Via WebOodi
- Teacher: Stenroos Matti