Course - Medicine for Students of Natural Sciences and Technology - MFEL3010
MFEL3010 - Medicine for Students of Natural Sciences and Technology
Examination arrangement: School exam
Grade: Letter grades
|Evaluation||Weighting||Duration||Grade deviation||Examination aids|
|School exam||100/100||3 hours||KALKULATOR|
The course gives a fundamental introduction to selected fields in cellular physiology, neurophysiology and circulation physiology, as well as related pathophysiology. The main purpose is to illustrate how physiology interacts with technology, illustrated by a fundamental introduction to the modes of medical imaging: X-ray, CT, MR, nuclear imaging (SPECT/PET) and ultrasound, as well as ECG. Technological treatment methods in circulation physiology will also be shown. In addition, an introduction to basic training physiology and oxygen uptake will be given.
The second objective is to illustrate medicine, both as a practice with weight on evidence based practice, and an applied science with weight on the scientific methods typical for medicine: epidemiology, clinical studies and diagnostic evaluation. The emphasis is on the statistical basis of these subjects. Understanding of statistical principles is an advantage, but not prerequisite. The course will show how statistical methods can be applied, but do mainly not intend to teach the practical use of statistical methods.
Further, fundamental problems and limitations in applying diagnostics and treatments to populations, especially false positives and negatives, positive and negative predictive value, and over diagnosis and over treatment will be addressed.
After completing the course, the student will have gotten an introduction to selected fields in physiology; cellular physiology, circulatory physiology and the nervous system. Within these fields, an understanding of the connection between function and disease is expected, and the students should be able to do simple calculations within the field. Further, the students will have gotten an introduction to methods in medical imaging, ECG and some molecular diagnostics and technological methods in treatment. A level of understanding enabling the student to draw conclusions about relevant use of this diagnostics / treatment is expected. Following this, the main emphasis is that the students have acquired a deeper understanding of the scientific methods in medicine; epidemiology, clinical studies and diagnostics. A level of understanding about validity of, and limitations in, medical evidence and diagnostics is expected and they are expected to to perform simple calculations, such as incidence and prevalence, numbers needed to treat, sensitivity, specificity, positive and negative predictive value. They are expected to understand, but not perform statistical calculations that are used in medicine. The fundamental issue is the limitations that a statistical evidence base sets for practice.
Finally, the students will get an introduction to the field of overdiagnosis and overtreatment as quantitative disciplines, and the limitations of screening. Finally is the understanding o0f the difference between medical evidence and evidence bases practice expected.
Learning methods and activities
Semester-based lectures through the whole semester. Lectures are to a great degree videotaped, and can be accessed online.
Mandatory digital exercises through the semester. All assignments need to be delivered and approved before the exam. The number of mandatory assignments, criteria and deadlines are published in Blackboard at the start of the term. Assignments do not count towards the final grade.
Further on evaluation
Compulsory activity must be approved for the present semester. Compulsory activity from earlier semesters will not be approved from fall semester 2023.
For re-sit examination, the written examination must be taken over again, but not compulsory activity (exercises). The re-sit exam is arranged in the spring semester.
Recommended previous knowledge
Understanding of statistical principles may be advantageous, but is not a requisite.
The lectures define the curriculum. Relevant learning materials will be available via the web (blackboard), and consists of lecture videos, lecture notes, selected review papers and web links. There is no textbook, as the topics are too diverse to be covered by a single textbook.
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
- Medical Technology
- Medical Physics
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 KALKULATOR 2023-12-20 15:00 INSPERA
Room Building Number of candidates SL111+SL210 Sluppenvegen 14 349
- Spring UTS School exam 100/100 KALKULATOR INSPERA
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"