Information Package / Course Catalogue
| Course Code | : |
| Course Type | : |
| Couse Group | : |
| Education Language | : |
| Work Placement | : |
| Theory | : 0 |
| Prt. | : 0 |
| Credit | : 0 |
| Lab | : 0 |
| ECTS | : |
| 1. | Students will learn the necessary coding to develop data science and machine learning models with the help of Python language. |
| 2. | Students will have the ability to identify and solve data scientific and machine learning problems. |
| 3. | Students will learn to measure the performance of data science and machine learning models with the help of the Python language. |
| 4. | Students will learn how to make the outputs of data scientific and machine learning models understandable and understandable with the help of Python language. |
| 5. | Students will learn the necessary preprocessing and feature clustering techniques to improve the prediction performance of data scientific and machine learning models with the help of Python language. |
| 1. | Ramalho, L. (2022). Fluent python. " O'Reilly Media, Inc.". |
| 2. | Haslwanter, T. (2016). An Introduction to Statistics with Python. With Applications in the Life Sciences.. Switzerland: Springer International Publishing. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 15 | 3 | 3 | 90 |
| Assignment | 2 | 2 | 2 | 8 |
| Individual Work | 3 | 3 | 2 | 15 |
| Midterm Examination | 1 | 1 | 3 | 4 |
| Final Examination | 1 | 1 | 3 | 4 |
| TOTAL WORKLOAD (hours) | 121 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 4 | 4 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 4 | ||
OÇ-2 | 5 | 5 | 5 | 4 | 4 | 5 | 5 | 5 | 4 | 4 | ||
OÇ-3 | 4 | 4 | 4 | 4 | 4 | 4 | 5 | 5 | 4 | 5 | ||
OÇ-4 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | ||
OÇ-5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | ||