Information Package / Course Catalogue
| Course Code | : KBU121 |
| Course Type | : Required |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of this course is to enable students to analyze complex systems and model them through simulation. In particular, the aim is to model the processes encountered in production, service, logistics and information technology systems, to understand the effects of randomness and to use simulation in the decision-making process.
This course aims to help students learn the basic concepts of data science and gain the ability to analyze real-world data. Basic statistical concepts, probability, and data aggregation methods are covered. Then, basic machine learning techniques such as regression and classification are introduced.
| 1. | It can clean real life data sets and make them suitable for analysis. |
| 2. | Can process and analyze data. |
| 3. | Can create effective charts using data visualization tools |
| 4. | Can build simple regression and classification models |
| 5. | Can understand the general functioning of data science projects. |
| 1. | Python for Data Science Training Book, Dr. Bulent ÇOBANOĞLU, KODLAB |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %5 |
| Quiz | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Assignment | 4 | 3 | 1 | 16 |
| Individual Work | 1 | 10 | 3 | 13 |
| Midterm Examination | 1 | 12 | 1 | 13 |
| Final Examination | 1 | 12 | 1 | 13 |
| TOTAL WORKLOAD (hours) | 125 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 5 | 4 | 5 | 4 | 5 | ||||||||
OÇ-2 | 5 | 5 | 4 | 5 | |||||||||
OÇ-3 | 5 | 4 | 4 | ||||||||||
OÇ-4 | 5 | 5 | 5 | ||||||||||
OÇ-5 | 4 | 4 | 4 | ||||||||||