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Course module: 822175-B-6
822175-B-6
Research Workshop: Cognitive Science and Artificial Intelligence
Course info
Course module822175-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSH: Department Cognitive Science and AI;
Is part of
B Communication and Information Sciences
B Communication and Information Sciences (Spc.Cog.Sc & AI)
B Cognitive Science and Artificial Intelligence
PM Communication- and Information Sciences
Contact persondr. M.M. Jung
Lecturer(s)
Coordinator course
dr. M.M. Jung
Other course modules lecturer
Lecturer
dr. M.M. Jung
Other course modules lecturer
Lecturer
dr. M. Postma
Other course modules lecturer
Academic year2018
Starting block
SM 2
Course mode
Full-time
RemarksThis information is not up to date. Check the Course Catalog 2019 or select the course via “Register”.
Registration openfrom 14/01/2019 up to and including 31/07/2019
Aims
At the end of the course, students will be able to:
  • recognize, describe, select, and apply different research methods;
  • recognize the phases of empirical research and divide the research process in these phases;
  • select and apply relevant research techniques to each of the phases;
  • report on research in cognitive science and AI, including a poster, a conference abstract, and a paper.
  • know how and where to search for relevant academic literature, recognize academic literature as such, know the guidelines for referring to literature
Content
Research skills play an increasingly important role in industry and academia. In this course, students will learn the research cycle from beginning (formulation and motivation of the research question, literature review) to the end (interpreting and reporting results). The different methods and techniques that are commonly used in cognitive science and AI research will be applied and discussed.
 The final grade for the course is based on: 
  • The group assignments (research project); 40%
  • The individual assignments (qualitative paper); 60%
In the group assignments, the students will conduct an experiment that includes collection of novel data. The empirical cycle is split up into a number assignments. Each group will design an experiment, collect data, analyze, interpret and report on their own study.
In the individual assignments, the students will conduct an experiment with existing data, as is common in the context of machine learning or (partial) replication studies. Each student will analyze, interpret and report on their individual research project.
The course serves as a preparation for individual bachelor thesis.
 
Timetable information
822175-B-6|Research Workshop: CSAI
Required materials
-
Recommended materials
-
Tests
2 Papers 90%

Presentation 10%

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