860-0041-00L  Statistics 1

SemesterAutumn Semester 2021
LecturersE. K. Smith
Periodicityyearly recurring course
Language of instructionEnglish
CommentOnly for Science, Technology and Policy MSc.



Courses

NumberTitleHoursLecturers
860-0041-00 VStatistics 12 hrs
Wed10:15-12:00HG F 26.5 »
E. K. Smith

Catalogue data

AbstractThis course covers the necessary fundamentals for the use of statistics to understand policy. Theoretically the course will provide a survey of foundational concepts and techniques statistics and mathematics. The applied part of the course will focus on implementing these techniques in R, as well as the practical skills required to develop their own data based research projects.
Learning objectiveGain a familiarity with foundational concepts and techniques in statistics, and be able to apply these to new problems. Be comfortable independently conducting a variety of tasks in R, such as data cleaning, visualisation and analysis. Produce summaries of statistical analyses that non-specialists can understand.
ContentThis course introduces students to the necessary fundamentals of statistics, and its application, to understand policy. Theoretically the course will provide a survey of foundational concepts and techniques statistics and mathematics. The applied part of the course will focus on implementing these techniques in R, as well as developing the practical skills in the language required to be able to independently conduct data based research projects.

By doing so, students will gain a familiarity with foundational concepts and techniques in statistics, and be able to apply these to new problems. Students will also develop the requisite skills to be able to independently conduct a variety of tasks in R, such as data cleaning, visualisation and analysis. Finally, students will be able to produce summaries of statistical analyses that non-specialists can understand.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersE. K. Smith
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupScience, Technology and Policy MSc (860000)

Offered in

ProgrammeSectionType
Science, Technology, and Policy MasterSocial SciencesOInformation