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Profile of the programme
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-Train highly qualified mechanical engineers with advanced competencies in computational methodologies for modeling, simulation,and optimization of mechanical systems.
-Ensure the natural progression of knowledge acquired in the first cycle, avoiding content overlap and deepening expertise in computational modeling.
-Offer specialized training in Fluid Mechanics and Energy, Solid Mechanics and Materials and Manufacturing and Control.
-Address the growing demand for engineers skilled in digital transformation through computational modeling, aligning with global industry trends and emerging challenges.
-Foster research and development, ensuring that graduates are prepared to contribute to scientific and technological advancements in both industry and academia.
-Strengthen the connection between academic training and industrial needs, promoting knowledge transfer and innovation. |
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Key learning outcomes
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Upon completion of the program, the student should be able to:
-Understand and apply advanced knowledge of computational mechanics in solid mechanics, fluid dynamics, thermal and energy
systems, and manufacturing processes.
-Demonstrate skills in numerical methods, finite element analysis, computational fluid dynamics, thermal and energy processes, and
the resolution of complex mechanical problems.
-Evaluate, develop, implement, and validate computational models for the analysis and optimization of mechanical systems using
state-of-the-art tools and software.
-Understand and integrate emerging technologies, including digital twins, artificial intelligence, and automation, within the context of
mechanical engineering.
-Develop critical thinking and decision-making skills for solving mechanical engineering problems.
-Innovate and integrate new computational strategies in industrial and academic environments, contributing to technological and
scientific advancement. |
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Occupational profiles of graduates
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The 2nd Cycle in Computational Mechanical Engineering trains the next generation of Mechanical Engineers. Unlike a traditional approach, this course integrates the computational component transversely, enhancing design and analysis capabilities across all engineering areas.
Our graduate is, in essence, a Mechanical Engineer, qualified to perform any classic role in the industry (design, production, maintenance, and energy). However, they stand out due to a unique competitive advantage: the mastery of advanced digital tools that allow them not only to design but also to simulate, optimize, and validate complex solutions virtually before physical production.
This differentiated training, focused on Industry 4.0 and Digital Twins, opens preferential doors in high-tech sectors (Automotive, Aeronautics, R&D), where the ability to solve problems through computational modeling is the decisive hiring factor. |
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Learning facilities
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Facilities and Technological Resources The course features advanced computing rooms with reference software for modeling and simulation (Ansys, SolidWorks, MatLab, AutoCad), which are essential for Computational Mechanical Engineering. Practical teaching is supported by laboratories for Mechanics of Materials, Energetics, Thermodynamics, Fluids, Mechanical Systems, Automation, and Manufacturing.
Main Equipments:
Robotics and Production: Collaborative robots (UR3, UR5, ABB), 3D Printing (MarkForged), CNC Lathe/Milling, and CNC Cutter.
Experimental and Testing: Wind Tunnel, Hydraulic Channel, Test benches (engines, pumps, thermal), INSTROM universal testing machine, and Advanced Cameras (climatic, thermal, multispectral).
Support Services Campus with a Library (>80,000 books), university residences, canteens, medical services, and complete digital infrastructure (Wi-Fi, e-learning). |