TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF COMMUNICATION |
| JOURNALISM PR. | |
| Code | GZS309 |
| Name | DATA JOURNALISM |
| Term | 2020-2021 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 1-1 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 1.5 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Doç. Dr. SEVDA ÜNAL |
| Course Instructor |
Doç. Dr. SEVDA ÜNAL
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Students taking this course: Develop a critical perspective on data journalism, To learn the basic information about data collection and cleaning, Developing skills related to data analysis and interpretation, Learning visualization methods It is expected.
Course Content
The aim of Data Journalism course is to understand the basic data of this field: data acquisition, data collection, data classification, data analysis, practical and theoretical understanding of the data visualization process, and the open data relationship by using the right to information. Data journalism in the developing Internet world; To teach how online is developing as a result of computer-aided journalism and data-based journalism, as a future of journalism and how it plays a powerful role in news-transfer more effectively through online open sources, tools and techniques.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | 1- Veri gazeteciliğine, tarihine ve araçlarına ilişkin kavramları örnekleri ile öğrenmek |
| LO02 | Data Journalism online use of the most appropriate tools, data sources and how to create data sets |
| LO03 | Analyze, visualize, interview data and conduct effective teamwork |
| LO04 | Be able to understand and use the usage of news and news in news centers and news |
| LO05 | Design basics, effective visual communication and data visualization, mapping studies |
| LO06 | To be able to understand and implement the process of data-based news |
| LO07 | To understand the relationship between Freedom to Information and Open Data and to verify digital content |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition / History of Data Journalism - definition of scattered data, accuracy of data, recognition and understanding of data formats | Sharing related resources, sharing sample | |
| 2 | How the data is found, how the data is found in the story, how to clean the data, how the data is interpreted | Sample Project Review and Related Tool Introduction / Use http://opendata-tools.org/en/ | |
| 3 | Data Scraping - Scraping data from websites as a data source | Downloading offline / in-car tools on computers http://knightlab.northwestern.edu/2014/03/20/five-data-scraping-tools-for-would-be-data-journalists/ | |
| 4 | Data visualization tools (open source) data visualization: which chart / tool with which subject / project fit | Pre-introduction of vehicles, in-class dynamic, the right tool to select the right tool to do the work http://www.creativebloq.com/design-tools/data-visualization-712402 | |
| 5 | Basic statistics and working practices in excel | Understand data journalism by using Excel and understand basic statistics concepts and understand percentile values. | |
| 6 | Right to Information, Digital Content Verification | Official application with a subject selected before the course | |
| 7 | Open Data and Ethics | World Projects- Review of Awarded Projects and Hospitality | |
| 8 | Mid-Term Exam | An overview | |
| 9 | Resources and Techniques | Sharing resource books and practicing data | |
| 10 | Social Media Data Analysis / Usage | Investigating the sample projects of how the mass / data is analyzed in the unprocessed social media | |
| 11 | Machine Readability of Open Data | Finding an open data instance and identifying why it is open | |
| 12 | Data Research Techniques | Practice research according to pre-lesson data formats | |
| 13 | Group Project Homework | Project Work in Classroom | |
| 14 | Solo Project | Project Work in Classroom | |
| 15 | Solo Project | Project Work in Classroom | |
| 16 | Term Exams | An overview | |
| 17 | Term Exams | An overview |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |