TÜRKÇE
ENGLISH
Information
| Code | GZS317 |
| Name | DATA JOURNALISM |
| Term | 2024-2025 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 1-2 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SEVDA ÜNAL |
| Course Instructor |
Doç. Dr. SEVDA ÜNAL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to gain the ability to produce effective and accurate news by using the basic concepts used in the field of data journalism, data collection, analysis, visualisation and data-based storytelling techniques.
Course Content
In this course, basic concepts of data journalism, data sources, data cleaning and analysis methods, statistical techniques, data visualisation tools and data-driven storytelling strategies will be examined; news production processes using these techniques will be discussed practically.
Course Precondition
There are no prerequisites for the course.
Resources
Gray, J., Bounegru, L., & Chambers, L. (2012). The Data Journalism Handbook: How Journalists Can Use Data to Improve the News. O'Reilly Media. Bradshaw, P. (2019). Online Journalism Handbook: Skills to Survive and Thrive in the Digital Age. Routledge.
Notes
Gazeteciliğin Geleceği:Veri Gazeteciliği-Pınar Dağ https://docs.google.com/document/d/1ueHNSvev8C5FRf9c-wwfoTrdbTLfrRPYakpphCOj2Ig/edit
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines the basic concepts of data journalism. |
| LO02 | Associates basic concepts with journalistic practice. |
| LO03 | List the sources and methods used in data collection processes. |
| LO04 | Apply data cleaning and organisation techniques. |
| LO05 | Apply basic statistical methods for data analysis to appropriate data sets. |
| LO06 | Prepares effective graphs and tables with data visualisation tools. |
| LO07 | Creates news texts through data-based storytelling strategies. |
| LO08 | Identifies ethical issues in data journalism examples. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Defines the concepts and professional rules related to the profession and field of journalism. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Defines news production, consumption and distribution processes, news sources, news / media text types. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | List the theories, models and approaches related to media and communication systems. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Outlines the legal framework of journalism in Turkey and internationally, the legal rights of journalists, press professional principles, and ethical codes. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Designs scientific research in the field of social sciences and humanities, especially communication and media. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Compares traditional and new/digital communication technologies, computers and information systems. | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Prepares written, visual and audio content for traditional and digital journalism/media environments. | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Discusses the concepts/areas of society, culture and communication. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Apply democratic rules, human rights and communication rights to promote social reconciliation and peace. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Supports individual and collective work in professional life. | 4 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Critically discusses the agenda and innovations of local, regional, national and international media with new perspectives. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Examines traditional and digital media contents with critical approaches with media literacy competence. | 4 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Describe the professional, commercial and legal processes of journalism and media organizations, current and emerging business models. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Criticizes otherizing, discriminatory and hateful discourses in the media and society. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Through theoretical and practical knowledge, he/she supports decision-making mechanisms both in the media organization where he/she works and in the society where he/she lives. | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Supports cultural, artistic and scientific activities related to the field. | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Design solutions to problems in the functioning of journalism/media organizations. | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies new generation journalism technologies. | 5 |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Performs duties such as press consultancy, communication coordination, press advisory, and communication management in various institutions and organizations. | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Supports work and worker safety within the framework of laws and regulations. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course content and resource presentation | Reading course information package | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Data Journalism Concept and Historical Development | Analysing examples of data journalism | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Data Sources and Data Collection Methods | Research on open data sources | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Data Cleaning and Organising Techniques | Examine examples of data cleansing | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 5 | Basic Statistical Methods for Data Analysis | Reading about basic statistical concepts | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Data Visualisation Tools and Techniques | Examination of data visualisation examples | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Data ethics discussions | Research on data ethics | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 8 | Mid-Term Exam | Review of topics before midterm | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Data-Driven Storytelling | Examine examples of data-driven storytelling | Öğretim Yöntemleri: Anlatım, Örnek Olay |
| 10 | Creating scenarios from data stories | Sample review | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 11 | Mapping and Geographic Data Analysis | Mapping samples research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | The role of artificial intelligence and machine learning in data journalism | Research on artificial intelligence and data journalism | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 13 | Data Journalism Project topic identification | Project topic determination and data collection | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Data Journalism Project: Data analysis and visualisation | Data analysis and visualisation studies | Öğretim Yöntemleri: Alıştırma ve Uygulama, Grup Çalışması |
| 15 | Data Journalism Project Presentation Preparation: project presentation techniques | presentation techniques | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Student project presentations | Ölçme Yöntemleri: Proje / Tasarım |
| 17 | Term Exams | Student project presentations | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||