Information Package / Course Catalogue
| Course Code | : ST320 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
The aim of this course is to understand the integration of artificial intelligence, internet of things (IoT), machine learning and automation systems in food processing technologies and to learn how these technologies are applied in processes such as food safety, quality control, energy efficiency and traceability. It is aimed that students will be able to analyze innovative food production systems and design their own digital solutions.
Basic concepts of smart systems Digital transformation in the food processing industry IoT-based production monitoring and quality control Artificial intelligence and machine learning applications Image processing, robotics and automation Real-time data collection and processing Smart sensor systems Industry 4.0 and Food 4.0 concepts Smart factories and cyber-physical systems Application examples and case studies
| Assoc. Prof. Filiz YILDIZ AKGÜL |
| 1. | Defines digital and smart technologies used in food processing systems. |
| 2. | Analyzes the impact of artificial intelligence and IoT-based systems on the food industry. |
| 3. | Classifies and evaluates smart sensors and data collection tools. |
| 4. | Applies image processing and automation systems in food quality control. |
| 5. | Interprets sustainable and innovative production systems within the framework of Industry 4.0. |
| 1. | Rasooly, A., & Herold, K. E. (Eds.). Biosensors and Biodetection: Methods and Protocols – Springer, 2017. |
| 2. | Zhang, Y., & Kovacs, G. (Eds.). Smart Sensors for Real-Time Water Quality Monitoring – CRC Press, 2020. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Project | 2 | 6 | 2 | 16 |
| Midterm Examination | 1 | 4 | 1 | 5 |
| Final Examination | 1 | 4 | 1 | 5 |
| TOTAL WORKLOAD (hours) | 54 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 5 | 5 | 5 | 4 | 5 | 4 | |||||
OÇ-2 | 5 | 5 | 5 | 4 | 5 | 4 | |||||
OÇ-3 | 5 | 5 | 5 | 4 | 4 | 4 | 5 | 4 | |||
OÇ-4 | 5 | 5 | 5 | 4 | 5 | ||||||
OÇ-5 | 5 | 5 | 5 | 5 | 4 | 5 | 4 | ||||