3 ECTS credits
75 h study time

Offer 1 with catalog number 4014883ENR for all 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' and 'Methods for Scientific Research'
Taught in
English
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
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) : Slides to be distributed during the course
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.

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Learning Outcomes

General competences

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 independently.

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 with a relative weight of 25 which comprises 25% of the final mark.

    Note: Present an 800-word literature review with 20 references
  • Paper Review with a relative weight of 25 which comprises 25% of the final mark.

    Note: Present an 800 word paper review
  • Statistics excercise with a relative weight of 25 which comprises 25% of the final mark.

    Note: Four questions about statistics
  • Research proposal with a relative weight of 25 which comprises 25% of the final mark.

    Note: Present an 800-word research proposal

Additional info regarding evaluation

Student performance is evaluated through 4 practical assignments:

A Literature review (800 words, 20 references)

A research proposal (800 words)

A statistics excercise (4 excercises)

A paper review (800 words)

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 four assignments during the semester. The final grade will be calculated as the average of the redone assignment and the three 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 Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Multimedia for Northwestern Polytechnical University (NPU)
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics