Algemene informatie
| Vakcode | XB_0020 |
|---|---|
| Studiepunten | 6 EC |
| Periode | P5 |
| Vakniveau | 200 |
| Onderwijstaal | Engels |
| Faculteit | Faculteit der Bètawetenschappen |
| Vakcoördinator | prof. dr. A.C.M. ten Teije |
| Examinator | prof. dr. A.C.M. ten Teije |
| Docenten |
prof. dr. A.C.M. ten Teije dr. J. Chen |
|
Onderdeel van opleiding(en)
Bachelor
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Praktische informatie
Voor dit vak moet je zelf intekenen. De inteken- en afmeldtermijnen staan op VU.nl
| Onderwijsvorm | Werkcollege, Hoorcollege |
|---|
Doel vak
The aim of the course is to make the students familiar with a number of Artificial Intelligence techniques (Knowledge and Understanding) and how they can be applied to the medical field (Applying Knowledge and Understanding, Making Judgments). Furthermore, students should have capability to work in teams (Communication).
Inhoud vak
The aim of the course is to make the students familiar with a number of Artificial Intelligence techniques and how they can be applied to the medical field. The course will be structured along the patient journey: diagnosis, treatment, monitoring, and prevention. Several AI techniques will be introduced during the course. The assignments offer students the opportunity to gain practical experience with AI techniques in the health domain. In the assignments, both the AI-technique and a medical topic have to be applied in a practical, hands on, way.
The course will be structured into three thematic modules.
module 1: Diagnosis (eg. ontologies, explainable ML)
module 2: Treatment (eg. representations of guidelines, neurosymbolic approaches)
module 3: Monitoring & Prevention (eg. wearables, translational medicine)
Beside these modules there might be a couple of guest lectures, on for instance natural language processing for medical texts, bioinformatics, and ethical impact.
Aanvullende informatie onderwijsvormen
There will be two lectures per week and one practical session per week.
Toetsvorm
Practical group assignments for each module, and an individual exam. Exam (50%) and practical assignments (50%) form the final grade. For both parts the grade needs to be sufficient (5.5 or higher) to obtain a final grade. No resit is possible for the practical assignments.
Literatuur
Selected scientific papers.Aanvullende informatie doelgroep
Bachelor Artificial Intelligence (year 2)
Overige informatie
Level 2b Use of generative AI is permitted in a limited way, with disclosure
In this course, generative AI (GenAI), such as ChatGPT or similar tools, may be used in a limited way, for example for editorial support, rephrasing, or structure. Substantive contributions from GenAI may only be used within the limits set by the lecturer. Any use of GenAI must always be explicitly disclosed, in accordance with the lecturer's instructions. The student remains fully responsible for the content, quality, and accuracy of the submitted work. Incorrect use of GenAI is considered fraud. If established, the submitted work or assessment result will be declared invalid, and the Examination Board may impose further measures.
Aanbevolen voorkennis
Recommended courses:
- Knowledge and data (X_400083)
- Machine Learning (X_400154)