Advanced data analysis (3958)
  
Coordinating lecturer :Prof. dr. Michelle PLUSQUIN 
  
Co-lecturer :Prof. dr. Tim NAWROT 
  
Member of the teaching team :dr. Brigitte REIMANN 
 dr. Congrong WANG 
 Mevrouw Kathrin BARTH 
 dr. Rossella ALFANO 

Language of instruction : English
Credits: 3,0
  
Period: quarter 2 (3sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible
 
Sequentiality
 
   No sequentiality

Content

In this course the students will get acquainted with systematic reviews, data repositories and handling and processing of large datasets.

The learning goals are as follows:

The students can perform a systematic review and make a study flow chart.

The students are aware of data repositories and are able to collect data.

The students can indepently perform basic skills in managing and manupulating data in a reproducable way.

The students can independently generate plots such as volcano plots, ideograms, etc. from big datasets.



Organisational and teaching methods
Organisational methods  
Practical ✔  
Project ✔  
Teaching methods  
Demonstration ✔  
Report ✔  


Evaluation

Quarter 2 (3,00sp)

Evaluation conditions (participation and/or pass)✔
Conditions The evaluation consists of multiple parts. For all parts of the evaluation, at least a score of 8/20 must be obtained in order to pass for the course.
Consequences A student who achieves a score lower than 8/20 on one (or more) parts of the evaluation will receive a F fail as final result. This final result is not tolerable. A student who achieves an 8/20 or 9/20 on one (or more) parts of the evaluation will receive 9/20 as the final result, regardless of the weighted average of the scores. This final mark is tolerable. Eg. 8/20 + 16/20 = 9/20 (tolerable)



Learning outcomes
Master of Teaching in Health Sciences
  •  EC 

    • 5.4  The educational master is a domain expert HEALTH SCIENCES: the EM can independently and critically conduct literature research, formulate and operationalise a research question (-hypothesis), collect research data, process the obtained research results, interpret and report orally and in writing.

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
Master of Teaching in Health Sciences keuzetraject BMW/GEN met vakdidactiek biologie J
Master of Teaching in Health Sciences keuzetraject BMW/GEN met vakdidactiek chemie J



1   Education, Examination and Legal Position Regulations art.12.2, section 2.
2   Education, Examination and Legal Position Regulations art.15.1, section 3.
3   Education, Examination and Legal Position Regulations art.16.9, section 2.