Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DATA ANALYSIS METHODS | MİSY1215047 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Perşembe 17:30-18:15 Perşembe 18:30-19:15 Perşembe 19:30-20:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Assoc.Prof. Başak GEZMEN |
| Assistant(s) | |
| Aim | The aim of Data Analysis Strategies course is to comprehend the basic data of this field, data collection, data collection, data analysis, data analysis, practical and theoretical understanding of data visualization and open data relationship by using right to information. |
| Course Content | This course contains; Definition / History of Data Journalism, Finding Story with Data - How-To,Data Scraping,Introduction to Data Visualization Tools,Basic Statistics and Working Practices in Excel,Request for Information, Digital Content Verification,Open Data Ethics,Social Media Data Analysis,Social Media Data Usage,Open Data Machine Readability,Data Research, Techniques,Project Presentation 1,Project Presentation 2,Project Presentation. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Defines the concepts of data journalism | 9 | A |
| Applies Open Data Creation Practice | 11, 9 | A, E |
| Creates digital content | 11, 2, 9 | E |
| Performs the basics of design and effective visual communication. | 11, 2, 9 | E |
| Analyses the Freedom of Information and its Relationship with Open Data. | 10, 9 | A, E |
| Teaching Methods: | 10: Discussion Method, 11: Demonstration Method, 2: Project Based Learning Model, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Definition / History of Data Journalism | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017 |
| 2 | Finding Story with Data - How-To | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017 |
| 3 | Data Scraping | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 4 | Introduction to Data Visualization Tools | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 5 | Basic Statistics and Working Practices in Excel | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 6 | Request for Information, Digital Content Verification | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 7 | Open Data Ethics | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017. |
| 8 | Social Media Data Analysis | Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org |
| 9 | Social Media Data Usage | Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org |
| 10 | Open Data Machine Readability | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 11 | Data Research, Techniques | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 12 | Project Presentation 1 | Students' presentations |
| 13 | Project Presentation 2 | Students' presentations |
| 14 | Project Presentation | Students' 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 | Has advanced theoretical and practical knowledge in the fields of media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production according to the characteristics of different communication environments. | ||||||
| 3 | To have knowledge about theories, methods, strategies and techniques related to the field. | ||||||
| 4 | Aware of the impact of media on people and society's thoughts, behaviors and values. | ||||||
| 5 | Use theoretical and practical knowledge specific to the field. | ||||||
| 6 | Develop critical thinking, analysis and synthesis skills. | ||||||
| 7 | Follows and uses new methods and technologies in the field. | X | |||||
| 8 | Develops the ability to produce an original media content with the knowledge acquired. | ||||||
| 9 | Evaluates the visual and audio data and literary texts critically. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; comments and suggestions for solutions. | ||||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the content production process. | X | |||||
| 12 | Takes responsibility in individual or group works related to the field and fulfills the task taken or executes independently. | ||||||
| 13 | Plans and manages activities for professional development as an individual and a team member. | ||||||
| 14 | Monitors at least one foreign language at the level of European Language Portfolio B2 General Level. | ||||||
| 15 | Transfers written solutions orally and verbally. | ||||||
| 16 | Evaluates his / her ideas and solutions for problems related to his / her field with his / her stakeholders by supporting them with quantitative and qualitative data. | ||||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
| 18 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 19 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 5 | 10 | 50 | |||
| Resolution of Homework Problems and Submission as a Report | 3 | 10 | 30 | |||
| Term Project | 3 | 5 | 15 | |||
| Presentation of Project / Seminar | 14 | 2 | 28 | |||
| Quiz | 3 | 10 | 30 | |||
| Midterm Exam | 14 | 1 | 14 | |||
| General Exam | 14 | 2 | 28 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 237 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(237/30) | 8 | |||||
| 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 ANALYSIS METHODS | MİSY1215047 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Perşembe 17:30-18:15 Perşembe 18:30-19:15 Perşembe 19:30-20:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Assoc.Prof. Başak GEZMEN |
| Assistant(s) | |
| Aim | The aim of Data Analysis Strategies course is to comprehend the basic data of this field, data collection, data collection, data analysis, data analysis, practical and theoretical understanding of data visualization and open data relationship by using right to information. |
| Course Content | This course contains; Definition / History of Data Journalism, Finding Story with Data - How-To,Data Scraping,Introduction to Data Visualization Tools,Basic Statistics and Working Practices in Excel,Request for Information, Digital Content Verification,Open Data Ethics,Social Media Data Analysis,Social Media Data Usage,Open Data Machine Readability,Data Research, Techniques,Project Presentation 1,Project Presentation 2,Project Presentation. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Defines the concepts of data journalism | 9 | A |
| Applies Open Data Creation Practice | 11, 9 | A, E |
| Creates digital content | 11, 2, 9 | E |
| Performs the basics of design and effective visual communication. | 11, 2, 9 | E |
| Analyses the Freedom of Information and its Relationship with Open Data. | 10, 9 | A, E |
| Teaching Methods: | 10: Discussion Method, 11: Demonstration Method, 2: Project Based Learning Model, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Definition / History of Data Journalism | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017 |
| 2 | Finding Story with Data - How-To | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017 |
| 3 | Data Scraping | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 4 | Introduction to Data Visualization Tools | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 5 | Basic Statistics and Working Practices in Excel | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 6 | Request for Information, Digital Content Verification | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 7 | Open Data Ethics | Kalsın, Berrin. Tüm Boyutlarıyla İnternet Haberciliği, Gece Kitaplığı, 2017. |
| 8 | Social Media Data Analysis | Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org |
| 9 | Social Media Data Usage | Data Journalism HandBook /Edited by Jonathan Gray,Lilliona Bounegry and Lucy Chambers /http://datajournalismhandbook.org |
| 10 | Open Data Machine Readability | Data Journalism Heist /by Paul Bradshawhttps://leanpub.com/DataJournalismHeist Data Journalism: Mapping the Future |
| 11 | Data Research, Techniques | Getting Started with Data Journalism /Writing data stories in any size newsroom /by Claire Miller/https://leanpub.com/datajournalism |
| 12 | Project Presentation 1 | Students' presentations |
| 13 | Project Presentation 2 | Students' presentations |
| 14 | Project Presentation | Students' 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 | Has advanced theoretical and practical knowledge in the fields of media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production according to the characteristics of different communication environments. | ||||||
| 3 | To have knowledge about theories, methods, strategies and techniques related to the field. | ||||||
| 4 | Aware of the impact of media on people and society's thoughts, behaviors and values. | ||||||
| 5 | Use theoretical and practical knowledge specific to the field. | ||||||
| 6 | Develop critical thinking, analysis and synthesis skills. | ||||||
| 7 | Follows and uses new methods and technologies in the field. | X | |||||
| 8 | Develops the ability to produce an original media content with the knowledge acquired. | ||||||
| 9 | Evaluates the visual and audio data and literary texts critically. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; comments and suggestions for solutions. | ||||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the content production process. | X | |||||
| 12 | Takes responsibility in individual or group works related to the field and fulfills the task taken or executes independently. | ||||||
| 13 | Plans and manages activities for professional development as an individual and a team member. | ||||||
| 14 | Monitors at least one foreign language at the level of European Language Portfolio B2 General Level. | ||||||
| 15 | Transfers written solutions orally and verbally. | ||||||
| 16 | Evaluates his / her ideas and solutions for problems related to his / her field with his / her stakeholders by supporting them with quantitative and qualitative data. | ||||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
| 18 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 19 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |