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We will use two text books:
We will use two text books:
* Rob Kitchin. ''The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences''. Sage, 2014.
* Rob Kitchin. ''The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences''. Sage, 2014.
* Carlos Castillo. ''Big Crisis Data - Social Media in Disasters and Time-Critical Situations''. Cambridge, 2016.
* Bill Chambers and Matei Zaharia: ''Spark: The Definitive Guide - Big Data Processing Made Simple''. O'Reiley, 2018.
<!--  * preliminary chapter list: Part I - chapters 1-3, Part II - chapters 4-9, Part III - chapter 12, Part IV - chapter 15, Part V - chapters 20-21, Part VI - chapter 24 (ca 260 pages). -->


Both books are general and quite easy-to-read overview books. Kithcin writes about big data in general, whereas Castillo focusses on emergency management specifically.  
== Technical introductions ==
Selected web pages will become available here, including:
* Spark Quick Start (with Python examples)
* OpenStack
* TerraForm
* Ansible
* Kafka Introduction
 
Additional non-mandatory materials will be made available to support the exercises.


== Papers ==
== Papers ==
We will supplement the text books with more detailed research papers that are also part of the course curriculum. Before each session, the list of papers for discussion will be announced and assigned to presenters. See the [[Sessions]] page for paper lists.
Selected papers will become available here.
 
Mandatory:
* Gallofré, M., Opdahl, A. L., Stoppel, S., Tessem, B., & Veres, C. (2021). The News Angler Project: Exploring the Next Generation of Journalistic Knowledge Platforms. In Proceedings of Norsk IKT-konferanse for forskning og utdanning. Short Paper [Poster]
 
Supplementary:
* Section 1 in Opdahl, A. L., & Nunavath, V. (2020). Big Data. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 15-29. Paper
* Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. Paper


== Lecture Slides==
== Lecture Slides==
 
See the [[Sessions|Session page]] for lecture slides.
See each session for lecture slides.


==Suitable readings==
==Suitable readings==
 
The [[Sessions|Session page]] contains specific readings for each session.
See each session for suitable readings.

Revision as of 15:39, 16 August 2022

Books

We will use two text books:

  • Rob Kitchin. The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences. Sage, 2014.
  • Bill Chambers and Matei Zaharia: Spark: The Definitive Guide - Big Data Processing Made Simple. O'Reiley, 2018.

Technical introductions

Selected web pages will become available here, including:

  • Spark Quick Start (with Python examples)
  • OpenStack
  • TerraForm
  • Ansible
  • Kafka Introduction

Additional non-mandatory materials will be made available to support the exercises.

Papers

Selected papers will become available here.

Mandatory:

  • Gallofré, M., Opdahl, A. L., Stoppel, S., Tessem, B., & Veres, C. (2021). The News Angler Project: Exploring the Next Generation of Journalistic Knowledge Platforms. In Proceedings of Norsk IKT-konferanse for forskning og utdanning. Short Paper [Poster]

Supplementary:

  • Section 1 in Opdahl, A. L., & Nunavath, V. (2020). Big Data. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 15-29. Paper
  • Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. Paper

Lecture Slides

See the Session page for lecture slides.

Suitable readings

The Session page contains specific readings for each session.

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