Capstone projects are designed to support project teams that typically consist of four to six students collaborating between two or three departments. This allows projects to have a broad scope bringing together knowledge and skills from different disciplines.

Interdisciplinary teams

Capstone teams consist of at least two departments (department sub-teams) each with at least two students. In the following example, two Mechatronics Engineering department students form an MCH sub-team which will work on the robotic sub-system, and two Electrical and Electronics Engineering department students form an EEE sub-team which will work on the communications sub-system.

At a minimum, projects consists of 2+2 students,

but can include a larger number of departments

A sub-team is mainly responsible for a sub-system of the project, therefore, for some projects, it may make better sense to define a sub-team according to the task rather than the department. For example, a communications sub-team which is responsible for the communications sub-system; such a team could consist of students from the same department or different departments.

All team members are expected to function as a coherent team that works towards the overall success of the project.

Participating departments and knowledge areas

Participating departments are listed below together with the student knowledge areas particular to the departments. We also encourage collaboration with industry and other faculties.

• Artificial Intelligence Engineering (AIN)
  Knowledge areas: machine learning; deep learning; image processing; computer vision; speech recognition; natural language processing; expert systems; data analysis and visualization; intelligence in games, robotics and business
  
  
• Biomedical Engineering (BME)
  Knowledge areas: biomedical instrumentation and medical device design, human biomechanics, human body movement analysis, therapeutic and assistive devices, medical imaging and image processing, clinical engineering and hospital organization.
  
  
• Civil Engineering (CEN)
  Knowledge areas: structural engineering, materials science, geotechnical engineering, water resources, surveying, transportation engineering; design, construction, and maintenance of the physical and natural built environment, including buildings, roads, bridges, dams, and canals.
  
  
• Computer Engineering (CMP)
  Knowledge areas: Algorithms and software development, operating systems, embedded systems, computer networks, database management systems, computer vision and machine learning.
  
  
• Electrical and Electronics Engineering (EEE)
  Knowledge areas: power systems, motors and actuators, communication, electrical and electronic circuits and systems, sensors and signal processing, control, embedded systems, electromagnetics and optics.
  
  
• Engineering Management (ENM)
  Knowledge areas: financial analysis, financial markets, marketing analysis, marketing positioning, marketability, project management, project design and management, entrepreneurship, startup, innovation, Human resource, performance valuation, leadership.
  
  
• Energy Systems Engineering (ESE)
  Knowledge areas: sustainability, renewable energies, multigeneration, hydrogen energy, energy and exergy analyses, energy conversion-management-storage, thermodynamics, hydrogen fuel cells (PEM fuel cells), hydrogen production, catalyst design and characterization, biofuels, solar photocatalysis for water decontamination, solid waste management, micro grid, system modelling and control, power converters for renewable energy systems, motor control.
  
  
• Industrial Design (Partners from the Faculty of Architecture and Design)
  Knowledge areas: User analysis, contextual and value analysis of products, material and production technology, human factors and design psychology, storytelling and interaction design, experience design, service and system design, 3D visualization and communication of products, marketability and design management, project design and management, entrepreneurship, startup, innovation.
  
  
• Industrial Engineering (INE)
  Knowledge areas: manufacturing systems, mathematical programming, scheduling, multi-criteria decision making, simulation, operations research, optimization-based decision support system, supply chain management, strategic management, quality control, production planning and control, project management, facilities planning, project management.
  
  
• Mechatronics Engineering (MCH)
  Knowledge areas: robotics, mechanical design, signal processing, data acquisition, sensors and actuators, embedded computer systems, power systems and batteries, thermo-fluids, hydraulics and pneumatics, feedback control, acoustics and vibrations.
  
  
• Software Engineering (SEN)
  Knowledge areas: Software application development, game design, mobile application development, human-computer interaction, database management systems, software testing and measurement, machine learning, software architecture design.

Who can/must take this course ?

Those who satisfy one of the following conditions:

• You are expected to be a 4th grade student.
• You must be in graduation status according to the total remaining local credits.