course-details-portlet

HIST2025 - Historiske databehandlingsmetoder

Om emnet

Vurderingsordning

Vurderingsordning: Hjemmeeksamen
Karakter: Bokstavkarakterer

Vurdering Vekting Varighet Delkarakter Hjelpemidler
Hjemmeeksamen 100/100 3 uker

Faglig innhold

Historians have digital access to records on an unprecedent scale. Millions of newspapers, government documents, letters and diaries, among other sources, are only one click away and completely searchable. Similarly, complete population censuses, birth, death and marriage records, military and prisons registers, and other sources have been digitalised and made available online.

How can we make sense of this ever-increasing wealth of information? Computational methods permit extracting and analysing huge amounts of information, both textual and numerical, that would be impossible otherwise. Supplementing traditional qualitative methods with computing methods not only allows shedding new light into old questions, but also addressing new ones. Likewise, computational tools help visualising information in innovative and powerful ways, thus producing compelling arguments and stories.

This course provides an in-depth introduction to computational methods in history by applying these tools to real historical information, both quantitative and qualitative. It will also equip students with the necessary background to understand and interpret the historical literature using these methods. The goal is to provide students with the tools to critically engage with the literature relying on computing methods and to be able to conduct original research using these tools in academia, the public or the private sector.

No previous background in computing or statistics is required.

The course revolves around three main themes:

  1. Statistics and Big Data: Descriptive statistics, correlation and regression analysis.
  2. Computational Text Analysis: Digital corpus management, word frequency & dictionary methods, text classification, topic models and sentiment analysis.
  3. Geographic Information Systems (GIS): Visualising spatial information and digitalising historical maps.

Læringsutbytte

A candidate who passes this course is expected to have the following learning outcome according to the course curriculum, defined as knowledge and skills:

Knowledge:

  • Critically engage with studies relying on computing tools.
  • Gain an introductory technical knowledge on many computational methods.

Skills:

  • Formulate research questions of their own that can be answered using these tools.
  • Conduct original research using these methods in academia, the public, or the business sector.
  • Continue developing these skills based on the foundations provided in this course.

Læringsformer og aktiviteter

The course is structured into 8 three-hour sessions combining lectures and applied sessions behind a computer.

Mer om vurdering

Apart from actively participating in the sessions, students are expected to deliver a take-home assignment after the course is finished.

Forkunnskapskrav

none

Kursmateriell

See curriculum published at the start of the semester, and other materials (reading and lecture lists and other relevant information) published on Blackboard

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Ingen

Fakta om emnet

Versjon: 1
Studiepoeng:  7.5 SP
Studienivå: Videregående emner, nivå II

Undervisning

Termin nr.: 1
Undervises:  VÅR 2025

Undervisningsspråk: Engelsk

Sted: Trondheim

Fagområde(r)
  • Historie
Kontaktinformasjon
Emneansvarlig/koordinator:

Ansvarlig enhet
Institutt for moderne samfunnshistorie

Eksamensinfo

Vurderingsordning: Hjemmeeksamen

Termin Statuskode Vurdering Vekting Hjelpemidler Dato Tid Eksamens- system Rom *
Vår ORD Hjemme-eksamen 100/100 INSPERA
Rom Bygning Antall kandidater
  • * Skriftlig eksamen plasseres på rom 3 dager før eksamensdato. Hvis mer enn ett rom er oppgitt, finner du ditt rom på Studentweb.
Eksamensinfo

For mer info om oppmelding til og gjennomføring av eksamen, se "Innsida - Eksamen"

Mer om eksamen ved NTNU