TÜRKÇE
ENGLISH
Information
| Code | GZS418 |
| Name | NEW GENERATION JOURNALISM PRACTICES |
| Term | 2024-2025 Academic Year |
| Semester | 8. 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
This course aims to help students learn the basic concepts of data science in next generation journalism, use data analysis techniques and tools, and transform big data into news stories.
Course Content
In this course, data collection and cleaning, data analysis techniques, statistical analysis, data visualisation, advanced data analysis with Tableau, big data and journalism, data-based storytelling, open data sources, ethical data use and data journalism practices will be covered.
Course Precondition
There are no prerequisites for the course.
Resources
Sütçü, C. ve Aytekin, Ç. (2019). Veri Bilimi. İstanbul: Paloma. Floyd, M. (2017). Tableau: Creating Interactive Data VisualizationsTableau lecture notes
Notes
Blokdyk, G. (2021). Tableau A Complete Guide. 5STARCooks
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines the basic concepts of data science. |
| LO02 | Explains the applications of data science in journalism. |
| LO03 | Apply advanced data analysis techniques used in data journalism. |
| LO04 | Performs data visualisation operations with Tableau program. |
| LO05 | Makes the data obtained from big data sources ready for analysis. |
| LO06 | Turns data analysis results into news stories. |
| LO07 | Creates visualizations from large data sets. |
| LO08 | Makes complex information understandable by using data visualisation techniques. |
| LO09 | Develops solutions to the problems encountered in the data analysis process |
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. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Defines news production, consumption and distribution processes, news sources, news / media text types. | |
| 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. | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Critically discusses the agenda and innovations of local, regional, national and international media with new perspectives. | 4 |
| 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 | Examination of course information package | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Introduction to data journalism: Definitions, scope and importance | Reading basic articles on data journalism | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | The role of data science in journalism and basic concepts | Reading on data science and journalism | Öğretim Yöntemleri: Anlatım, Grup Çalışması |
| 4 | Data sources and data collection methods: Open data sources, public data, data sets | Analysing open data platforms | Öğretim Yöntemleri: Alıştırma ve Uygulama, Örnek Olay |
| 5 | Data cleaning and organisation: Missing/incorrect data, data formats and transformations | Analysing resources about data cleaning processes | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Data analysis techniques: Basic statistical analysis methods | Review of basic statistical concepts | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Introduction to data visualisation: Chart types, data visualisation principles | Examination of data visualisation examples | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Reviewing all resources before midterm | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Introduction to Tableau: Interface, basic functions and data connections | Tableau installation and watching basic training videos | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 10 | Data cleaning and transformation operations with Tableau | Reviewing the data cleaning methods learnt in previous courses | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Data analysis and calculations with Tableau: Data filtering, calculated fields and groupings | Pre-reading about metrics used in data analysis | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma |
| 12 | Advanced data visualisation techniques with Tableau | Examination of data visualisation techniques in Tableau | Öğretim Yöntemleri: Gösterip Yaptırma |
| 13 | Big data and journalism: Data sources, analysis methods and news production | Reading on big data | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Data-driven news story creation process | Analysing data-driven news examples | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Planning and management of data journalism projects | Analysing examples of data journalism projects | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 16 | Term Exams | Students' final project presentations | Ölçme Yöntemleri: Proje / Tasarım |
| 17 | Term Exams | ApplicationStudents' final 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 | ||