TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF COMMUNICATION |
| JOURNALISM PR. | |
| Code | GZS318 |
| Name | Journalism Practices and Coding |
| Term | 2020-2021 Academic Year |
| Semester | 6. 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
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Teaching journalism students coding and data analysis
Course Content
Coding with Python and data analysis with Panda
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Have basic coding knowledge |
| LO02 | Learns the basics of coding with Python |
| LO03 | Analyze data with Pandas |
| LO04 | Learning how to debug independently and solve problems in the code. |
| LO05 | Makes big data meaningful in terms of journalism. |
| LO06 | Produces news from data |
| LO07 | Knows data journalism studies in the world. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction: Programming reasons. | None | |
| 2 | Variables, if-expressions and functions. | Reading and practice | |
| 3 | Variables, if-expressions and functions. | Reading and practice | |
| 4 | Variables, if-expressions and functions. | Reading and practice | |
| 5 | Listeler, Döngüler ve CSV dosyaları | Reading and practice | |
| 6 | Listeler, Döngüler ve CSV dosyaları | Reading and practice | |
| 7 | Listeler, Döngüler ve CSV dosyaları | Reading and practice | |
| 8 | Mid-Term Exam | Reading and practice | |
| 9 | Programs used in data analysis | Reading and practice | |
| 10 | Introduction to data analysis with Pandas | Reading and practice | |
| 11 | Data analysis with Pandas | Reading and practice | |
| 12 | Data analysis with Pandas | Reading and practice | |
| 13 | Data analysis with Pandas | Reading and practice | |
| 14 | Project example | Reading and practice | |
| 15 | Project example | Reading and practice | |
| 16 | Term Exams | Reading and practice | |
| 17 | Term Exams | Reading and 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 |