Students should exhibit competence in reproducible research methods, data manipulation and visualisation, as well as data analysis.
Course Description
This course aims at introducing students to reproducible research practices using R for the purposes of data manipulation, data simulation, statistical analysis and data visualization.
Study Characteristics
- Discipline: Psychology
- Type of education: Seminar, Practical lectures
- Academic skill: N/A
- Graduate School: N/A
- Start date: TBD
- End date: TBD
- Minimum number of students: N/A
- Maximum number of students: 30
- Admission criteria: Contact the course coordinator for information on admission criteria
- Concluding assessment: Yes
- Assessment type: assignment and exam
- With Certificate: N/A
- Schedule info: N/A
- Number of lessons: N/A
- Total course duration in hrs.: N/A
- Sign up period: N/A
- Anticipated hrs of study: N/A
- Available to: PhD students VU (and VU RMA students)
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Course Description & Study Characteristics
Course Description
This course aims at introducing students to reproducible research practices using R for the purposes of data manipulation, data simulation, statistical analysis and data visualization.
Study Characteristics
- Discipline: Psychology
- Type of education: Seminar, Practical lectures
- Academic skill: N/A
- Graduate School: N/A
- Start date: TBD
- End date: TBD
- Minimum number of students: N/A
- Maximum number of students: 30
- Admission criteria: Contact the course coordinator for information on admission criteria
- Concluding assessment: Yes
- Assessment type: assignment and exam
- With Certificate: N/A
- Schedule info: N/A
- Number of lessons: N/A
- Total course duration in hrs.: N/A
- Sign up period: N/A
- Anticipated hrs of study: N/A
- Available to: PhD students VU (and VU RMA students)
Contact the course coordinator for registration
Dr. M. Kandrik