Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DIGITAL MEDIA and DATA SOCIETY | - | Spring Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Prof.Dr. Müge DEMİR AYRAL |
| Assistant(s) | |
| Aim | The aim of this course is to analyze the process of data and analytics becoming a fundamental part of digital business based on the production and reproduction of digital technologies and to make data solutions by gaining knowledge about data literacy as it has become an organizational entity. |
| Course Content | This course contains; Importance of data and data analysis in the digital world,Basics of data collection and cleaning,Develop their skills in data analysis and interpretation,,To understand the data visualization process practically and theoretically,Open data relationship using the right to information,Research process and types of research design, assumptions required for multivariate data analysis, and multivariate data analysis methods,The process of extracting patterns from data,Data practices,Developing a critical perspective on data journalism,Data journalism in the digital world; computer-assisted journalism and the development of data-based journalism,Applications to make sense of visualized data,Data analysis studies with CODAP,Project work that generates meaningful knowledge from data and develops new skills,Project studies. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Access information and data in different ways | 11, 16, 6, 9 | |
| Can ask questions to the data and dominate the relevant answers. | 10, 11, 9 | |
| Turn data into power that it can use for its goals. | 5, 8, 9 | F, H |
| It categorizes and classifies big data. | 4 | A, E |
| Conducts data analysis based on data definitions. | 10, 14 | A, E, F |
| Teaching Methods: | 10: Discussion Method, 11: Demonstration Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, H: Performance Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Importance of data and data analysis in the digital world | Reading the topics mentioned from relevant sources |
| 2 | Basics of data collection and cleaning | Reading the topics mentioned from relevant sources |
| 3 | Develop their skills in data analysis and interpretation, | Reading the topics mentioned from relevant sources |
| 4 | To understand the data visualization process practically and theoretically | Reading the topics mentioned from relevant sources |
| 5 | Open data relationship using the right to information | Reading the topics mentioned from relevant sources |
| 6 | Research process and types of research design, assumptions required for multivariate data analysis, and multivariate data analysis methods | Reading the topics mentioned from relevant sources |
| 7 | The process of extracting patterns from data | Reading the topics mentioned from relevant sources |
| 8 | Data practices | |
| 9 | Developing a critical perspective on data journalism | Reading the topics mentioned from relevant sources |
| 10 | Data journalism in the digital world; computer-assisted journalism and the development of data-based journalism | Reading the topics mentioned from relevant sources |
| 11 | Applications to make sense of visualized data | Reading the topics mentioned from relevant sources |
| 12 | Data analysis studies with CODAP | Reading the topics mentioned from relevant sources |
| 13 | Project work that generates meaningful knowledge from data and develops new skills | Reading the topics mentioned from relevant sources |
| 14 | Project studies | Reading the topics mentioned from relevant sources |
| Resources |
| Veri Gazeteciliğine Başlama ,Claire Miller ,2013 Anderson, T.W. (2003). An Introduction to Multivariate Statistical Analysis, 3rd Edition, SBN: 978-0-471-36091-9, WILEY. Tabachnıck B., Fıdell, L. (2007). Using Multivariate Statistics. 5th Ed. Pearson Education. Inc. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have advanced theoretical and practical knowledge in areas such as media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production appropriate to the characteristics of different communication environments. | X | |||||
| 3 | Has knowledge about the theories, methods, strategies and techniques related to the field. | X | |||||
| 4 | To be aware of the impact of media on the thoughts, behaviors and values of individuals and society. | X | |||||
| 5 | Uses theoretical and practical knowledge specific to the field. | X | |||||
| 6 | Develops critical thinking, analysis and synthesis skills. | X | |||||
| 7 | Follows and uses new methods and technologies related to the field. | X | |||||
| 8 | Develops the ability to realize an original media content production with the knowledge acquired. | X | |||||
| 9 | Evaluates visual and audio data and literary texts related to the field with a critical approach. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; interprets and proposes solutions. | X | |||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the process of content production. | X | |||||
| 12 | Takes responsibility in individual or group studies related to the field and fulfills the task taken or executes it independently. | X | |||||
| 13 | Plans and manages activities for professional development as an individual and team member. | X | |||||
| 14 | To be able to follow the information in the field by using a foreign language at least at the B2 level of the European Language Portfolio. | ||||||
| 15 | To be able to convey solutions to problems in the field in written and orally. | X | |||||
| 16 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
| 17 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 18 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
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 | 14 | 1 | 14 | |||
| Resolution of Homework Problems and Submission as a Report | 14 | 3 | 42 | |||
| Term Project | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 14 | 3 | 42 | |||
| Presentation of Project / Seminar | 14 | 3 | 42 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 20 | 20 | |||
| General Exam | 1 | 30 | 30 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 232 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(232/30) | 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 |
|---|---|---|---|---|---|
| DIGITAL MEDIA and DATA SOCIETY | - | Spring Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Başak GEZMEN |
| Name of Lecturer(s) | Prof.Dr. Müge DEMİR AYRAL |
| Assistant(s) | |
| Aim | The aim of this course is to analyze the process of data and analytics becoming a fundamental part of digital business based on the production and reproduction of digital technologies and to make data solutions by gaining knowledge about data literacy as it has become an organizational entity. |
| Course Content | This course contains; Importance of data and data analysis in the digital world,Basics of data collection and cleaning,Develop their skills in data analysis and interpretation,,To understand the data visualization process practically and theoretically,Open data relationship using the right to information,Research process and types of research design, assumptions required for multivariate data analysis, and multivariate data analysis methods,The process of extracting patterns from data,Data practices,Developing a critical perspective on data journalism,Data journalism in the digital world; computer-assisted journalism and the development of data-based journalism,Applications to make sense of visualized data,Data analysis studies with CODAP,Project work that generates meaningful knowledge from data and develops new skills,Project studies. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Access information and data in different ways | 11, 16, 6, 9 | |
| Can ask questions to the data and dominate the relevant answers. | 10, 11, 9 | |
| Turn data into power that it can use for its goals. | 5, 8, 9 | F, H |
| It categorizes and classifies big data. | 4 | A, E |
| Conducts data analysis based on data definitions. | 10, 14 | A, E, F |
| Teaching Methods: | 10: Discussion Method, 11: Demonstration Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, H: Performance Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Importance of data and data analysis in the digital world | Reading the topics mentioned from relevant sources |
| 2 | Basics of data collection and cleaning | Reading the topics mentioned from relevant sources |
| 3 | Develop their skills in data analysis and interpretation, | Reading the topics mentioned from relevant sources |
| 4 | To understand the data visualization process practically and theoretically | Reading the topics mentioned from relevant sources |
| 5 | Open data relationship using the right to information | Reading the topics mentioned from relevant sources |
| 6 | Research process and types of research design, assumptions required for multivariate data analysis, and multivariate data analysis methods | Reading the topics mentioned from relevant sources |
| 7 | The process of extracting patterns from data | Reading the topics mentioned from relevant sources |
| 8 | Data practices | |
| 9 | Developing a critical perspective on data journalism | Reading the topics mentioned from relevant sources |
| 10 | Data journalism in the digital world; computer-assisted journalism and the development of data-based journalism | Reading the topics mentioned from relevant sources |
| 11 | Applications to make sense of visualized data | Reading the topics mentioned from relevant sources |
| 12 | Data analysis studies with CODAP | Reading the topics mentioned from relevant sources |
| 13 | Project work that generates meaningful knowledge from data and develops new skills | Reading the topics mentioned from relevant sources |
| 14 | Project studies | Reading the topics mentioned from relevant sources |
| Resources |
| Veri Gazeteciliğine Başlama ,Claire Miller ,2013 Anderson, T.W. (2003). An Introduction to Multivariate Statistical Analysis, 3rd Edition, SBN: 978-0-471-36091-9, WILEY. Tabachnıck B., Fıdell, L. (2007). Using Multivariate Statistics. 5th Ed. Pearson Education. Inc. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have advanced theoretical and practical knowledge in areas such as media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production appropriate to the characteristics of different communication environments. | X | |||||
| 3 | Has knowledge about the theories, methods, strategies and techniques related to the field. | X | |||||
| 4 | To be aware of the impact of media on the thoughts, behaviors and values of individuals and society. | X | |||||
| 5 | Uses theoretical and practical knowledge specific to the field. | X | |||||
| 6 | Develops critical thinking, analysis and synthesis skills. | X | |||||
| 7 | Follows and uses new methods and technologies related to the field. | X | |||||
| 8 | Develops the ability to realize an original media content production with the knowledge acquired. | X | |||||
| 9 | Evaluates visual and audio data and literary texts related to the field with a critical approach. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; interprets and proposes solutions. | X | |||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the process of content production. | X | |||||
| 12 | Takes responsibility in individual or group studies related to the field and fulfills the task taken or executes it independently. | X | |||||
| 13 | Plans and manages activities for professional development as an individual and team member. | X | |||||
| 14 | To be able to follow the information in the field by using a foreign language at least at the B2 level of the European Language Portfolio. | ||||||
| 15 | To be able to convey solutions to problems in the field in written and orally. | X | |||||
| 16 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
| 17 | Knowledgeable about occupational health and safety and can use this information when necessary. | ||||||
| 18 | Uses Turkish language fluently and accurately in scientific and professional works. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |