Process Engineering of Materials

Core Courses

First Year

Semester 1:

1. Thermodynamics (Thermochemistry)
2. Fluid Mechanics 1
3. Organic Chemistry
4. Refining
5. Industrial Processes
6. Unit Operations 1
7. Analytical Techniques 1
8. Environment and Sustainable Development 1
9. Practical Internship 1
10. Expression and Communication Techniques 1
11. Computer Science 1

Semester 2:

1. Mass and Heat Transfer
2. Fluid Mechanics 2
3. Inorganic Chemistry
4. Petrochemistry
5. Biotechnological Processes
6. Unit Operations 2
7. Analytical Techniques 2
8. Environment and Sustainable Development 2
9. Practical Internship 2
10. Expression and Communication Techniques 2
11. Computer Science 2

Advanced Topics

The Process and Materials Engineering covers advanced topics related to the optimization of industrial processes, the development of new materials, and the transition to sustainable processes. Here is a selection of the main topics covered:

1. Advanced Processes and Industrial Systems Optimization

• Simulation and modeling of chemical and physical processes
• Chemical reaction engineering: advanced kinetics and catalysis
• Multiphase systems and mass transport
• Process optimization and advanced control systems

2. Innovative Materials and Surface Engineering

• High-performance composite materials and polymers
• Smart materials and shape memory alloys
• Nanomaterials and applied nanotechnologies
• Surface engineering and advanced treatments

3. Sustainable Processes and Energy

• Green processes and sustainable chemistry
• Waste valorization and materials recycling
• Energy production and storage: batteries, hydrogen, supercapacitors
• Electrochemistry and advanced separation technologies

4. Bioprocess Engineering and Biotechnology

• Bioprocesses for biomaterials and biofuels production
• Enzyme engineering and industrial fermentation
• Bioremediation and industrial wastewater treatment
• 3D bio-printing technologies and biomimetics

5. Process Engineering for Industry 4.0

• Digitalization and modeling of industrial processes
• Artificial intelligence and process optimization
• Real-time control and predictive maintenance
• Smart sensors and automation of production chains