Programplaner og emneplaner - Student
ACIT4720 Medical sensors and actuators Course description
- Course name in Norwegian
- Medical sensors and actuators
- Study programme
-
Master's Programme in Applied Computer and Information TechnologyMaster's Programme in Applied Computer and Information Technology, Elective modules
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Curriculum
-
FALL 2022
- Schedule
- Programme description
- Course history
-
Introduction
None
Required preliminary courses
The exam consists of two parts:
1. An individual project report of about 2000 - 4000 words. The report counts 50% towards the final grade.
2. A 30 minute individual oral exam, which includes a 10 minute presentation of the candidates project. The oral exam counts 50% towards the final grade. Both exams must be passed in order to pass the course. The oral exam cannot be appealed.
New/postponed exam
In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.
Learning outcomes
A student who has completed this course should have the following learning outcomes:
Knowledge:
Upon successful completion of the course:
- the student will have in-depth knowledge of the selected topic in the curriculum and its relation to the practical project work.
Skills:
Upon successful completion of the course, the student:
- can apply theoretical knowledge into practical settings.
- can analyze a practical challenge in the view of the theoretical and research-based methodologies.
General competence:
Upon successful completion of the course, the student:
- is enabled to analyze, present and debate specific research subjects in light of the theoretical and practical approaches.
- can discuss the subject both at expert and non-expert levels.
Content
Topics covered in this course:;
- Introduction to sensors and;actuators;
- Electrochemical sensors and;actuators;
- Optical sensors and;actuators;
- Multivariate calibration using optical and electrical;spectra;
- Evaluation of sensors and actuators for medical and health care;applications;
Teaching and learning methods
The course applies research-based learning supervised by one or more supervisors (internal/external), and a practical assignment with individual report work. The student will make a written report based on research problems from the practical assignment and the selected theoretical material. The course ends by the student/students in group (2-5 students) giving a presentation on the chosen topic and the practical assignments.
Course requirements
The following coursework is compulsory and must be approved before the student can attend;the exam:
- Semester exercise in a group of 3-4 students. A report between 7500 - 15000;words. The total working load will be approx. 60 hours per student.;
Assessment
Individual written exam, 3 hours.
The exam grade can be appealed.
;
New/postponed exam
In case the number of students in the course is less than five, the exam will be automatically turned into an oral exam. In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
In the event of a postponed examination in this course, the exam may be held as an oral exam. Oral exams cannot be appealed.
Permitted exam materials and equipment
Knowledge of standard classical optimization algorithms would be beneficial. Familiarity with undergraduate physics is also an advantage, but by no means any prerequisite.
Grading scale
For the final assessment, a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Examiners
- A brief re-acquaintance with vectors, matrices and complex numbers
- Computational methods of quantum physics
- Introduction to quantum phenomena
- Introduction to classical information theory
- Qubits and quantum gates
- Entanglement and interference as key components of quantum computing
- Fundamental quantum algorithms
- Quantum annealing as a way of addressing optimization problems
- Quantum cryptography
- The challenge of de-coherence and openness in quantum systems
Course contact person
The course overlaps 3 ECTS with ACIT4320.