DATA JOURNALISM

Course Information
TitleΔΗΜΟΣΙΟΓΡΑΦΙΑ ΔΕΔΟΜΕΝΩΝ / DATA JOURNALISM
CodeDCE202
FacultyEconomic and Political Sciences
SchoolJournalism and Mass Communications
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAndreas Veglis
CommonYes
StatusActive
Course ID600018459

Programme of Study: COMMUNICATION

Registered students: 5
OrientationAttendance TypeSemesterYearECTS
DĪMOSIOGRAFIA STĪN PSĪFIAKĪ EPOCΗĪElective Course belonging to the selected specialization (Elective Specialization Course)2110
PAGKOSMIA DĪMOSIOGRAFIAElective Courses2110
DĪMOSIOGRAFIA TŌN TECΗNŌN KAI TOU POLITISMOUElective Courses2110

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600155103
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
none
Learning Outcomes
• familiarizing the student with the basic concepts of data journalism • familiarizing the student with the basic types of statistical data analysis • Acquire basic skills in using statistical processing and data visualization applications. • Acquire basic skills in applying online content verification techniques.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Appreciate diversity and multiculturality
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The course addresses the topic of data journalism. The high availability of data in digital format necessitates the existence of data journalism. The journalist must be able to find, adjust, visualize and interpret the data. To achieve this he must have the theoretical databases and the technical skills needed to create data visualizations that will be incorporated into his articles. Also another topic the course deals with is the verification of material that the journalist finds online.
Keywords
data journalism, data, data cleaning, visualization
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
Use of powerpoint when teaching the lesson. Providing additional material through the elearning.auth.gr platform (moodle). Contact students via email as well as the communication tools provided by the elearning.auth.gr platform. Evaluation through multiple choice questions on the elearning.auth.gr platform.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures40
Laboratory Work40
Reading Assigment100
Project50
Written assigments50
Total280
Student Assessment
Description
Courses Exercises (50%) - Final project (50%)
Student Assessment methods
  • Report (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
• Data Journalism Handbook, Jonathan Gray, Liliana Bounegru, Lucy Chambers, Επιμελητές ελληνικής έκδοσης Ανδρέας Βέγλης, Χαράλαμπος Μπράτσας, Εκδόσεις Πηγή 2014. • Εγχειρίδιο Επαλήθευσης, Craig Silverman, European Journalism Centre, 2015, (open access) διαθέσιμο στο http://verificationhandbook.com/ downloads/ verification.handbook_gr.pdf • Interactive Data Visualization for the Web, Scott Murray, O Reilly 2010 • Data Journalism: Mapping the future, John Mair, Richard Lance Keeble, Abramis Academic Publishing, 2014 • Data Journalism Handbook, Jonathan Gray, Liliana Bounegru, Lucy Chambers, http://datajournalismhandbook.org/. • Interactive Data Visualization for the Web, Scott Murray, O Reilly 2010. • Data Journalism: Mapping the future, John Mair, Richard Lance Keeble, Abramis Academic Publishing, 2014. • Data Journalism Heist, Paul Bradshaw, LeanPub 2013. Scraping for Journalists, Paul Bradshaw, LeanPub 2014. • Mark Lee Hurter “Digital Media and Investigative Reporting” Open Society Foundations, April 2011 διαθέσιμο στο http://markleehunter. free.fr/documents/digital-media-investigative-reporting.pdf • Lee Hunter, Mark (ed.) (2011). The Global Casebook. An anthology for teachers and students of investigative journalism, UNESCO (open access) διαθέσιμο στο http://unesdoc.unesco.org/images /0021/002176/ 217636e.pdf
Last Update
30-09-2019