INF-22803 Intro to Data Structures and Algorithms for Health

Course

Credits 3.00

Teaching methodContact hours
Lecture8
Tutorial15
Practical20
Course coordinator(s)dr. Q Liu
dr. SA Osinga
Lecturer(s)dr. Q Liu
dr. SA Osinga
Examiner(s)dr. SA Osinga

Language of instruction:

English

Assumed knowledge on:

Basic and Advanced Statistics, a basic working knowledge on the R statistical toolbox (as obtained in a.o. Advanced Statistics for Nutritionists), Introduction Epidemiology and Public Health

Contents:

This course will introduce students to basic concepts of computing and problem solving. The course will start with introducing concepts like computer, programming language, software program, and computer architecture. Subsequently, the concepts of basic data structures and algorithms will be explained and demonstrated in the application of the health domain. Students will learn to identify the algorithms and data structures for the corresponding problems in the health domain. With the provided hands-on experience students will learn to make balanced decisions in selecting and applying suitable data structures and algorithms.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- show insight in basic computer science terminology and concepts;
- identify several approaches to problem solving;
- explain key concepts of data structures and algorithms;
- compare and select suitable basic data structures for health related data;
- implement a proper data structure for health related data;
- analyse health related data problems using selected algorithms;
- solve health related data problems computationally;

Activities:

Lectures, tutorials and computer-based practicals.

Examination:

Written exam (both closed and open questions)

Literature:

see www.wur.eu/inf

ProgrammePhaseSpecializationPeriod
Compulsory for: BVGNutrition and HealthBSc4AF