Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DATA JOURNALISM | YMİ4110456 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Salı 14:30-15:15 Salı 15:30-16:15 Salı 16:30-17:15 Cumartesi 14:30-15:15 Cumartesi 15:30-16:15 Cumartesi 16:30-17:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Assist.Prof. Alaattin ASLAN |
| Assistant(s) | |
| Aim | The aim of Data Journalism course is to understand the process of finding, data gathering, data cleaning, data analysis, data visualization in the basic stages of this field. |
| Course Content | This course contains; Definition / History of Data Journalism,Finding a Story with Data - How To,Data Scraping,Introduction to Data Visualization Tools,Basic Statistics and Working Practices in Excel,Right to Information Request, Digital Content Verification,Open Data Give Ethics,Open Dta and Ethic,Machine Readability of Open Data,Data Research Techniques,Group Project Homework,Solo Project,Project presentations. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Defines concepts related to data journalism journalism describes the data in the world and Turkey | 16 | A, F, H |
| Apply Open Data Creation Practice | 16 | A, G |
| Explain the use of data in news centers and news. Realizes data usage in news | 16 | A, F, H |
| Performs the basics of design and effective visual communication. Performs data visualization and mapping studies | 10, 9 | A |
| Adopts ethical principles in data acquisition | 10, 9 | H |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task, G: Quiz, H: Performance Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Definition / History of Data Journalism | Learn the basics of what data journalism is and how it emerged. Do research on key figures in data journalism and their pioneering work. Analyze case studies to understand how data journalism differs from traditional journalism. |
| 2 | Finding a Story with Data - How To | Learn the basic concepts of how to extract stories from data sets. Learn about data analysis and interpretation techniques. Review and analyze examples of successful data stories. |
| 3 | Data Scraping | Learn about data scraping and what tools are used. Learn the basics of HTML and CSS, as these languages are important for understanding the structure of web pages. Practice by working on simple data scraping examples. |
| 4 | Introduction to Data Visualization Tools | Learn the basics and importance of data visualization. Learn about basic data visualization tools and software (e.g. Tableau, Power BI, Google Charts). Practice visualization with simple data sets. |
| 5 | Basic Statistics and Working Practices in Excel | Learn basic statistical concepts (mean, median, mode, standard deviation, etc.) |
| 6 | Right to Information Request, Digital Content Verification | Learn about the right to information and its legal framework. Conduct research on the processes for requesting information and data from public institutions. Learn about digital content verification techniques and tools (e.g. reverse image search, metadata analysis). |
| 7 | Open Data Give Ethics | Learn about open data and the sources from which it can be obtained. Research ethical principles and privacy issues in data use. Conduct case studies on ethical dilemmas and cases related to the use of open data. |
| 8 | Open Dta and Ethic | |
| 10 | Machine Readability of Open Data | Makine okunabilir veri formatları (JSON, XML, CSV vb.) hakkında bilgi edinin. Veri setlerinin makine okunabilir olmasının önemi ve avantajları hakkında araştırma yapın. Basit veri dönüşüm araçları ile pratik yaparak veri formatlarını birbirine çevirme deneyimi kazanın. |
| 11 | Data Research Techniques | Veri araştırmasında kullanılan metodolojileri ve teknikleri öğrenin. Veri kaynaklarını nasıl bulacağınız ve değerlendireceğiniz konusunda bilgi edinin. Veri setlerini temizleme, düzenleme ve analiz etme teknikleri üzerinde çalışın. |
| 12 | Group Project Homework | |
| 13 | Solo Project | |
| 14 | Project presentations |
| Resources |
| 1.Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017. (2)Open Data Institute / http://theodi.org/ (3)Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism (4)Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org/ (5)Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts and theoretical grounds related to the field. | X | |||||
| 2 | Determines the facts related to New Media and Communication Systems and analyzes these facts with various dimensions. | X | |||||
| 3 | Analyzes the needs of the media organizations and plans and applies strategies accordingly. | X | |||||
| 4 | Plans new media projects and implements them. | X | |||||
| 5 | Takes responsibility when necessary in the field related projects and proposes solutions to emerging problems. | X | |||||
| 6 | Takes place as a member in a project-based teamwork; leads projects and plans events. | X | |||||
| 7 | Observes the theoretical and factual problems with scientific methods related to new media and communication systems disciplines and sub-disciplines; analyzes the findings and presents them in scientific publications. | X | |||||
| 8 | Has a high awareness towards lifelong learning. Follows the developments, innovations, opinions, methods and techniques regularly and uses them efficiently. | X | |||||
| 9 | To be able to communicate orally and in writing in a foreign language at least at the B1 level of the European Language Portfolio. | X | |||||
| 10 | Utilizes new communication technologies efficiently in professional and scientific works and follows the developments in new communication technologies regularly. | X | |||||
| 11 | Plans social responsibility events and takes a role in implementation process. | X | |||||
| 12 | Acts in accordance with ethical codes in professional and scientific works. | X | |||||
| 13 | Uses tools related to new media and communications, efficiently. | X | |||||
| 14 | Develops and implement new media projects specifically developed for media organizations. | X | |||||
| 15 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
| 16 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 20 | 1 | 20 | |||
| Resolution of Homework Problems and Submission as a Report | 20 | 1 | 20 | |||
| Term Project | 14 | 2 | 28 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 20 | 20 | |||
| General Exam | 1 | 20 | 20 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 150 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30) | 5 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DATA JOURNALISM | YMİ4110456 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Salı 14:30-15:15 Salı 15:30-16:15 Salı 16:30-17:15 Cumartesi 14:30-15:15 Cumartesi 15:30-16:15 Cumartesi 16:30-17:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Assist.Prof. Alaattin ASLAN |
| Assistant(s) | |
| Aim | The aim of Data Journalism course is to understand the process of finding, data gathering, data cleaning, data analysis, data visualization in the basic stages of this field. |
| Course Content | This course contains; Definition / History of Data Journalism,Finding a Story with Data - How To,Data Scraping,Introduction to Data Visualization Tools,Basic Statistics and Working Practices in Excel,Right to Information Request, Digital Content Verification,Open Data Give Ethics,Open Dta and Ethic,Machine Readability of Open Data,Data Research Techniques,Group Project Homework,Solo Project,Project presentations. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Defines concepts related to data journalism journalism describes the data in the world and Turkey | 16 | A, F, H |
| Apply Open Data Creation Practice | 16 | A, G |
| Explain the use of data in news centers and news. Realizes data usage in news | 16 | A, F, H |
| Performs the basics of design and effective visual communication. Performs data visualization and mapping studies | 10, 9 | A |
| Adopts ethical principles in data acquisition | 10, 9 | H |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task, G: Quiz, H: Performance Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Definition / History of Data Journalism | Learn the basics of what data journalism is and how it emerged. Do research on key figures in data journalism and their pioneering work. Analyze case studies to understand how data journalism differs from traditional journalism. |
| 2 | Finding a Story with Data - How To | Learn the basic concepts of how to extract stories from data sets. Learn about data analysis and interpretation techniques. Review and analyze examples of successful data stories. |
| 3 | Data Scraping | Learn about data scraping and what tools are used. Learn the basics of HTML and CSS, as these languages are important for understanding the structure of web pages. Practice by working on simple data scraping examples. |
| 4 | Introduction to Data Visualization Tools | Learn the basics and importance of data visualization. Learn about basic data visualization tools and software (e.g. Tableau, Power BI, Google Charts). Practice visualization with simple data sets. |
| 5 | Basic Statistics and Working Practices in Excel | Learn basic statistical concepts (mean, median, mode, standard deviation, etc.) |
| 6 | Right to Information Request, Digital Content Verification | Learn about the right to information and its legal framework. Conduct research on the processes for requesting information and data from public institutions. Learn about digital content verification techniques and tools (e.g. reverse image search, metadata analysis). |
| 7 | Open Data Give Ethics | Learn about open data and the sources from which it can be obtained. Research ethical principles and privacy issues in data use. Conduct case studies on ethical dilemmas and cases related to the use of open data. |
| 8 | Open Dta and Ethic | |
| 10 | Machine Readability of Open Data | Makine okunabilir veri formatları (JSON, XML, CSV vb.) hakkında bilgi edinin. Veri setlerinin makine okunabilir olmasının önemi ve avantajları hakkında araştırma yapın. Basit veri dönüşüm araçları ile pratik yaparak veri formatlarını birbirine çevirme deneyimi kazanın. |
| 11 | Data Research Techniques | Veri araştırmasında kullanılan metodolojileri ve teknikleri öğrenin. Veri kaynaklarını nasıl bulacağınız ve değerlendireceğiniz konusunda bilgi edinin. Veri setlerini temizleme, düzenleme ve analiz etme teknikleri üzerinde çalışın. |
| 12 | Group Project Homework | |
| 13 | Solo Project | |
| 14 | Project presentations |
| Resources |
| 1.Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017. (2)Open Data Institute / http://theodi.org/ (3)Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism (4)Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org/ (5)Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts and theoretical grounds related to the field. | X | |||||
| 2 | Determines the facts related to New Media and Communication Systems and analyzes these facts with various dimensions. | X | |||||
| 3 | Analyzes the needs of the media organizations and plans and applies strategies accordingly. | X | |||||
| 4 | Plans new media projects and implements them. | X | |||||
| 5 | Takes responsibility when necessary in the field related projects and proposes solutions to emerging problems. | X | |||||
| 6 | Takes place as a member in a project-based teamwork; leads projects and plans events. | X | |||||
| 7 | Observes the theoretical and factual problems with scientific methods related to new media and communication systems disciplines and sub-disciplines; analyzes the findings and presents them in scientific publications. | X | |||||
| 8 | Has a high awareness towards lifelong learning. Follows the developments, innovations, opinions, methods and techniques regularly and uses them efficiently. | X | |||||
| 9 | To be able to communicate orally and in writing in a foreign language at least at the B1 level of the European Language Portfolio. | X | |||||
| 10 | Utilizes new communication technologies efficiently in professional and scientific works and follows the developments in new communication technologies regularly. | X | |||||
| 11 | Plans social responsibility events and takes a role in implementation process. | X | |||||
| 12 | Acts in accordance with ethical codes in professional and scientific works. | X | |||||
| 13 | Uses tools related to new media and communications, efficiently. | X | |||||
| 14 | Develops and implement new media projects specifically developed for media organizations. | X | |||||
| 15 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
| 16 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |