|
|
MBS1001
-
Lab & Data Sciences: basic principles
Period 1: from 1-9-2025 to 24-10-2025 (maandag 1 september 2025 tot vrijdag 24 oktober 2025)
Co-requisites:
None
Coordinator:
Nijs, L. de
ECTS credits:
10
Language of instruction:
English
Publication dates timetable/results in the Student Portal
Deadline publication timetable
The date on which the timetable of this module is available:
vrijdag 15 augustus 2025
Deadline publication final result
The date on which the final grade of this module is available: vrijdag 14 november 2025
Resit booking
Exam booking for a test in current academic year (resit)
You will be booked automatically for the resit in one of our resit periods. You may check our calenders to find out which modules can be retaken and when: https://intranet.maastrichtuniversity.nl/nl/fhml-studenten/studieverloop/wanneer-wat
As of one week before the resit test takes place, you can check in Student Portal if you are booked correctly: Student Portal > My Courses > More actions. The test will also be visible in your time table.
Exam booking for a test from a previous academic year (exam only)
All students who have not passed the test for this module in a previous academic year, will be booked automatically for the test during the regular block period. You will be enrolled in the new course in Canvas but not scheduled for a tutorial group and other educational activities.
If you do not wish to participate in this test at the end of the regular block period please de-register via askFHML.
Though great care has been taken to assure the accuracy of the information on fhmlweb, the FHML cannot be held responsible for possible printing errors, incomplete information, or misinterpretations. Additionally, the FHML reserves the right to make changes to this information.
Course information
|
Description:
|
EN:
Biomedical Sciences help us better understand how the human body functions. The insights gained from this field are essential for understanding, diagnosing, treating, and preventing human diseases. Biomedical Sciences specifically translate knowledge from the natural sciences into medical applications. However, the field also faces complex biomedical challenges—real-world problems related to human health, disease, and healthcare that require scientific investigation and innovative solutions. Understanding these challenges is fundamental for students at the beginning of a master’s in Biomedical Sciences. It helps them connect theory to real-life applications, recognize the societal impact of their work, and develop the problem-solving mindset essential for research and innovation. In this first course of the master’s program, students will be introduced to the wide range of topics addressed within Biomedical Sciences. The course explores the pathophysiology, diagnostics, therapies, and current research on various diseases, with particular emphasis on identifying and critically evaluating the biomedical challenges they present, as well as exploring current approaches used to address them. To address these challenges effectively, modern biomedical scientists also need strong data science skills. Therefore, this course introduces the basic principles of data science essential to biomedical research, including core concepts in statistical analysis, regression analysis, (multivariate) data processing and visualization, algorithmic thinking and computer scripting.
|
|
Goals:
|
EN:
ILO1. Analyze and describe the mechanisms of molecular dysfunction, etiological factors, clinical manifestations, diagnostic strategies, and treatment approaches related to diseases within the biomedical field. ILO2. Identify and critically evaluate biomedical challenges and explore current approaches to address them within the biomedical field. ILO3. Apply basic principles of data science in biomedical research, including statistical analysis, regression analysis, (multivariate) data processing and visualization, algorithmic thinking and computer scripting. ILO4. Apply the principles of the scientific method by identifying research questions, methodologies, and reasoning processes in scientific literature, and critically using these insights to explore biomedical challenges. ILO5. Synthesize and present complex scientific information on state-of-the-art knowledge and challenges in biomedical field.
|
|
Key words:
|
EN:
Biomedical Challenges, Disease Mechanisms, Biomedical Approaches, Problem-Solving Strategies, Data Science, Scientific Method, Critical Thinking and Analysis, Science Communication, Knowledge Integration.
|
|
Literature:
|
This is the link to Keylinks, our online reference list.
|
|
Teaching methods:
|
- Assignment(s)
- Work in workgroup(s)
- Lecture(s)
- Paper(s)
- Problem Based Learning
- Presentation(s)
- Skills
|
|
Assessments methods:
|
- Assignment
- Attendance
- Final paper
- Presentation
- Written exam
|
This page was last modified on:donderdag 29 mei 2025
|
|