3 ECTS credits
75 h study time

Offer 1 with catalog number 4007669ENW for working students in the 1st semester at a (E) Master - advanced level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Following courses are mutually exclusive: "Methoden van wetenschappelijk onderzoek" en "Methods for scientific research".
Taught in
Dutch
Faculty
Faculty of Sciences and Bioengineering Sciences
Department
Computer Science
Educational team
Bart De Boer (course titular)
Activities and contact hours
26 contact hours Lecture
40 contact hours Independent or External Form of Study
Course Content

Refresh the basics of scientific research methods: References, experimental design, statistics, writing, reviewing.

The statistical techniques that will be treated are in principle those that are needed to analyze the experimental designs that will be treated.

Course material
Digital course material (Required) : De lessen en slides aangeboden tijdens de cursus, Slides offered during the course, Bart de Boer, Canvas
Additional info

Slides will be presented after the course, as they will be updated depending on course progress. General materials will be linked on the website.
The slides will serve as the syllabus.
It is strongly recommended that students attend the lectures and take notes. Workload for master's courses is higher than for Bachelor's courses, and students are expected to make do with less supervision than at the Bachelor's level.

Learning Outcomes

General competencies

Understanding of the scientifc method and the process of doing research.

Ability to work with precision, and according to international scientific standards.
 

Writing skills

Ability to refer to sources correctly

Ability to write scientifically, especially to clearly specify a research question and a research method.

Analysis skills

Ability to apply statistic analysis and hypothesis testing independently.

Ability to use linear models and Monte-Carlo statistical methods and to implement these independentl.

Reading and Understanding

Ability to write a fair and insightful review of a scientific paper in a domain that is not exactlty the student's area of specialization.

Grading

The final grade is composed based on the following categories:
LEC Practical Assignment determines 100% of the final mark.

Within the LEC Practical Assignment category, the following assignments need to be completed:

  • Literature Review + Proposal with a relative weight of 33 which comprises 33% of the final mark. This is a mid-term test.

    Note: 500 word literature review, 500 word proposal/experimental design, 10 references
  • Statistics Excercise with a relative weight of 34 which comprises 34% of the final mark. This is a mid-term test.

    Note: 4 statistics excercises
  • Paper Review with a relative weight of 33 which comprises 33% of the final mark. This is a mid-term test.

    Note: 800 word paper review

Additional info regarding evaluation

Student performance is evaluated through 3 practical assignments:

A Literature review and research proposal (500 words review, 500 words proposal/experimental design, 10 references)
A statistics excercise (4 excercises)
A paper review (800 words)

Students should in principle be able to defend their assignments orally.
If students have an average below 10 at the end of the semester, they can redo one assignment. In order to be eligible for this they need to have handed in all three assignments during the semester. The final grade will be calculated as the average of the redone assignment and the two remaining original assignments.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Applied Computer Science: Big Data Technology (only offered in Dutch)
Master of Applied Computer Science: Artificial Intelligence (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (only offered in Dutch)
Master of Teaching in Science and Technology: computerwetenschappen (120 ECTS, Etterbeek) (only offered in Dutch)