PhD in Industrial Engineering

1. semester

• Applied Mathematics (Selected Topics) (compulsory optional)
• Mathematical Statistics (compulsory optional)
• Planning and Quality Control (compulsory optional)
• Project MGMT to Implement Innovations (compulsory optional)

2. semester

• (Application of Random Processes (compulsory optional)
• Image Processing and Analysis (compulsory optional)
• Mathematical Principles of Forecasting (compulsory optional)
• Planning and Evaluation of Experiments (compulsory optional)
• Selected Parts of Quality Control (compulsory optional)
• Special Methods of Quality Evaluation (compulsory optional)

3. semester

• Computer Modeling of Technical Systems (compulsory optional)
• Evaluation and Quality Metrics (compulsory optional)
• Macromolecular Chemistry (compulsory optional)
• Optics of Solids (compulsory optional)
• Practical Stereology (compulsory optional)
• Quality of Fibrous Products (compulsory optional)
• Reliability and Risk Assessment (compulsory optional)
• Sorption Processes (compulsory optional)
• Structural Mechanics of Fibrous Ass. (compulsory optional)
• Textile Chemistry (compulsory optional)
• The Finite Element Method (compulsory optional)
• Theory and Application of Machine Vision (compulsory optional)

4. semester

• Comfort of Clothes (compulsory optional)
• Composites and Nanocomposites (compulsory optional)
• Designing of Fibrous Products (compulsory optional)
• Electronics in Textile Structures (compulsory optional)
• Market Research and Customer Satisfactio (compulsory optional)
• Sensorical Textile Materials (compulsory optional)
• Simulation of the Apparel Processes (compulsory optional)
• Technology of Nanofibers Production (compulsory optional)
• Testing theory and experimental data tre (compulsory optional)
• Wetting of Fibrous Materials (compulsory optional)

5. semester

• Experimental technique of the textile (compulsory)

6. semester

• Specialization in Field (compulsory)
• Courses without specified study plan
• Economics and Organizations Management (compulsory optional)
• Hydrodynamics Process of Spinning (compulsory optional)
• Intership Abroad I (optional)
• Intership Abroad II (optional)
• Intership in a Company I. (optional)
• Intership in a Company II. (optional)

Graduates from the Industrial Engineering PhD course will have a thorough specialist knowledge of their field (product and technology process quality management, comprehensive high-order innovation development and implementation of methods using computer-assisted data mining production concepts) to allow them to apply creative and research work in the field. Graduates will have mastered modern principles of designing and managing technical projects, with a focus on the development of high-order innovation. They will be able to prepare, lead and evaluate such projects. They will have developed their communication skills and be able to follow through their ideas and views. They will be thoroughly familiar with data handling methodologies using computer-assisted approaches referred to as soft computing. They will be prepared to implement the techniques and tools of Industry 4.0 into practical applications. They will also be able to quickly adapt to demanding work in other fields and interdisciplinary research. They will be poised to continue their skill growth independently and comprehensively deal with complex research, technical and engineering issues.