Ders Planı

ISTANBUL AYDIN UNIVERSITY

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson plan / DATA JOURNALISM

Lesson Information

Course Credit	2.0
Course ECTS Credit	4.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Programme Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	S
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	In this course; Basic concepts, principles and application areas of data journalism will be covered. In today's internet journalism activities, important applications of data journalism, which is increasing in importance, will be examined and digital information processing and sharing techniques will be taught practically.
Course Content	Students are expected to develop a critical perspective on data journalism, learn basic information about data collection and clearing, develop skills in data analysis and interpretation, and learn visualization methods.

Learning Outcomes

Know the structural, administrative and technical features in the process of transition from conventional media to new media.
Has knowledge in humanity and social sciences.
Knows the features of new media literacy.
Knows processes and developments specific to interactive and participatory new media culture.
Has advanced reading, thinking and analytical analysis skills that can critically evaluate new media content.
Has the ability to integrate professional and practical skills with new theoretical knowledge on new communication technologies.
Has the ability to analyze the effects of new media on social life, economy, culture and politics.
Designs and implements media for content delivery and distribution for digital platforms.
Studies harmoniously and efficiently in groups and/or individually.
Examines research and development projects with a critical approach in order to find solutions for the problems in new media field.
Keeps an eye on the progress in science and technology.
Follows the local, regional, national and international agenda and evaluates it critically.
Conveys topics related to new media to experts and non experts in an efficient and accurate manner with written, oral or visual communication methods.
Communicates to his/her colleagues in new media field by means of using a foreign language.
Has the competence to develop new media projects.
Abstract and concrete concepts; turns it into creative thinking, innovative and original works.
Plans and manages professional events.
Has technical awareness
Has a sense of responsibility for professional and ethical values.

Weekly Course Subjects

1	Data journalism concept
2	Why data is important for journalists
3	Examples of data journalism - BBC example
4	Examples of data journalism - The Guardian example
5	Other examples of data journalism
6	Business model for data journalism
7	Midterm
8	Data collection methods
9	Data Collection Methods
10	Interpret data
11	Data visualization
12	Principles and methods of publishing data journalism
13	Final Project Presentations
14	Final Project Presentations

Resources

-Jonathan Gray, Liliana Bounegru, Lucy Chambers. The Data Journalism Handbook.
-Rogers, Simon. Facts are sacred, Guardian Books, 2013.

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