Information Package / Course Catalogue
| Course Code | : UEK529 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The objective of this course is to equip students with the ability to effectively use Python programming, manage data analysis processes, and develop programming skills applicable to data science projects.
This course aims to teach the fundamental and advanced features of the Python programming language within the context of data analytics applications. Topics include data structures, functions, object-oriented programming, data processing, data visualization, and an introduction to machine learning. Students will perform analyses on real-world datasets and develop applications for data-driven decision-making processes using Python.
| 1. | Use the fundamental structures of Python programming. |
| 2. | Effectively utilize data structures and functions. |
| 3. | Process and transform datasets. |
| 4. | Apply data visualization techniques. |
| 5. | Develop basic machine learning applications. |
| 1. | Matthes, E. (2023). Python Crash Course |
| 2. | McKinney, W. (2022). Python for Data Analysis |
| 3. | Géron, A. (2022). Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow |
| 4. | VanderPlas, J. (2023). Python Data Science Handbook |
| 5. | Doğanlı, B., & Çelik, S. (2024). Pazarlama stratejileri için veri bilimi ve Python. |
| 6. | KACIR, Ümit, Sadullah ÇELİK, and Yasemin TEKİNKAYA KACIR. "Kurumsal Yönetimde Dijital Dönüşüm: Python ile Veri Bilimi Uygulamaları." |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 6 | 0 | 84 |
| Lecture - Practice | 3 | 4 | 0 | 12 |
| Assignment | 1 | 9 | 0 | 9 |
| Midterm Examination | 1 | 8 | 0 | 8 |
| Final Examination | 1 | 12 | 0 | 12 |
| TOTAL WORKLOAD (hours) | 125 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | |
OÇ-1 | 4 | 5 | 5 | 5 | 5 |
OÇ-2 | 4 | 4 | 4 | 4 | 5 |
OÇ-3 | 3 | 3 | 5 | 4 | 5 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 |
OÇ-5 | 5 | 5 | 5 | 5 | 5 |