Course - Quantitative Methods for Historians - HIKU8862
HIKU8862 - Quantitative Methods for Historians
About
New from the academic year 2018/2019
Examination arrangement
Examination arrangement: Home examination and Work
Grade: Passed/Failed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
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Hjemmeeksamen | ||||
Øving | ||||
Øving |
Course content
The onset of big data has revolutionised how governments and the business sector make decisions. Likewise, the increasing availability of historical quantitative information provides an excellent opportunity to fully exploit the analysis of large datasets to expand our knowledge of the past.
This course provides an in-depth introduction to quantitative methods, covering some of the techniques most widely used in research in the historical and social sciences. Combining lectures and computer practicals, this hands-on course shows how to apply quantitative methods to historical information keeping statistical theory and mathematics to a minimum. The goal is to provide students with the tools to critically engage with the literature relying on quantitative methods and to be able to conduct original research using those tools either in academia, the public or the business sector. In the process, students will master Stata, a statistical software widely used by practitioners in many different fields.
Please note that if students plan to include this course in their coursework component, it must be preapproved by the relevant head of the study/PhD programme in cooperation with their supervisor.
Learning outcome
A candidate who satisfactorily passes the course will be able to:
- critically engage with studies relying on quantitative methods,
- conduct original research using those tools either in academia, the public or the business sector,
- master Stata, a statistical software widely used by practitioners in many different fields and available to NTNU students and faculty.
Learning methods and activities
36 hours: 12 three-hour sessions.
Each session combines lecturing (aprox. 1 hour) with computer practicals (aprox. 2 hours).
The course is taught in 12 three-hour sessions (36 in total).
Every session combines lectures and computer practicals using Stata.
This is an eminently hands-on course which keeps statistical theory and mathematics to a minimum. Students will learn by applying the different concepts to real data used by historians. Further information will be provided at the beginning of the course.
Compulsory assignments
- Deltakelse
Recommended previous knowledge
No previous statistical background is required.
Required previous knowledge
BA in History or equivalent. Admission to a relevant study programme is required.
Course materials
Course materials and assignments will be provided during the course.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
HIKU8863 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2018
Language of instruction: English
Location: Trondheim
- European studies
- European Studies
- Archaeology
- Geography
- History
- The Humanities
- Sociology
- Political Science
Department with academic responsibility
Faculty of Humanities
Examination
Examination arrangement: Home examination and Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
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Autumn
ORD
Hjemme-eksamen
Release
2018-11-28Submission
2018-12-05 -
Room Building Number of candidates - Autumn ORD Øving
-
Room Building Number of candidates - Autumn ORD Øving
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"