TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF COMMUNICATION |
| JOURNALISM PR. | |
| Code | GZS405 |
| Name | NEW GENERATION JOURNALISM PRACTICES |
| Term | 2020-2021 Academic Year |
| Semester | 7. 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
Teaching journalism students advanced coding and data analysis methods
Course Content
Advanced data analysis: data analysis with Java
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Transition to advanced programming with Java |
| LO02 | Provide solutions for journalistic online media applications |
| LO03 | Learning advanced data analysis techniques |
| LO04 | Linking data analysis techniques with the current needs of journalism |
| LO05 | Making large data sets meaningful |
| LO06 | Compliance with international journalism practices |
| LO07 | Mastering the technological developments in journalism |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction: Java applications in terms of journalism | None | |
| 2 | Basic data analysis techniques | Reading and listening | |
| 3 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 4 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 5 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 6 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 7 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 8 | Mid-Term Exam | Reading and practice | |
| 9 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 10 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 11 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 12 | Implementing statistical data analysis techiques using Java APIs | Listening and practice | |
| 13 | Sample project | Listening and practice | |
| 14 | Sample project | Listening and practice | |
| 15 | Sample project | Listening and practice | |
| 16 | Term Exams | Practice | |
| 17 | Term Exams | Practice |
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 |