Courses 

Key Highlights:

• Learn essential research skills for engineering projects.

• Develop the ability to design research, collect and analyze data.

• Gain experience in scientific writing and presenting research.

• Prepare for final-year projects or independent research in engineering.

Key Highlights:

• Introduction to Python programming with an engineering focus.

• Master tools like NumPy, Pandas, and Matplotlib for data analysis.

• Apply Python to solve engineering problems and automate tasks.

• Gain hands-on experience with coding for simulations and calculations. 

Key Highlights:

• Understand and implement machine learning algorithms in engineering contexts.

• Apply machine learning to real-world engineering problems, from data analysis to system optimization.

• Explore supervised, unsupervised, and deep learning techniques.

• Learn data processing, model evaluation, and predictive modeling.

Key Highlights:

• Dive deeper into advanced simulation tools and techniques for engineering problems.

• Learn how to model complex systems using software like MATLAB, Simulink, and VISSIM.

• Focus on optimization, control systems, and dynamic system simulations.

• Apply simulation to solve real-world challenges in transportation, energy, and manufacturing.

Key Highlights:

• Study the integration of technology to enhance traffic management and safety.

• Learn about Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication systems.

• Focus on real-time data analysis, smart road networks, and automated traffic control.

• Understand how ITS promotes sustainable and efficient transport systems.

Key Highlights:

• Explore the core technologies driving autonomous and connected vehicles.

• Understand sensor technologies, AI-based decision-making, and V2X communication.

• Study the challenges and future trends of autonomous mobility.

• Get hands-on experience with autonomous vehicle simulation tools.

Key Highlights:

• Master VISSIM, a leading traffic simulation tool used for modeling urban road networks.

• Learn to simulate traffic flow, optimize signal systems, and evaluate congestion solutions.

• Apply VISSIM for transportation planning, public transit optimization, and traffic analysis.

• Understand the integration of VISSIM with real-time traffic data and systems.

Key Highlights:

• Gain proficiency in SUMO, an open-source tool for simulating urban traffic networks.

• Learn how to model traffic flow, public transportation systems, and pedestrian movement.

• Apply simulation results to optimize urban mobility and reduce congestion.

• Integrate SUMO with other software for comprehensive urban mobility studies.

Key Highlights:

• Study the design and management of transportation systems that are equitable and inclusive.

• Learn how to remove barriers to mobility for diverse urban populations.

• Focus on sustainable, accessible public transport solutions for all age groups and abilities.

• Explore smart city technologies that enhance urban mobility and access to services.

Key Highlights:

• Explore sustainable practices in public transportation planning and implementation.

• Study renewable energy integration, eco-friendly vehicle options, and low-carbon transit systems.

• Learn about the role of public transport in reducing urban congestion and promoting environmental sustainability.

• Understand the policy, economic, and technical challenges of implementing sustainable transport solutions.

Key Highlights:

• Explore the intersection of urban planning, technology, and sustainability in the context of smart cities.

• Learn about the role of IoT, AI, and data analytics in enhancing the efficiency and sustainability of urban transportation systems.

• Study sustainable urban mobility practices, including electric vehicles (EVs), shared mobility, and public transit solutions.

• Examine how smart city technologies can be leveraged to create greener, more efficient transportation infrastructures.

Key Highlights:

• Understand the fundamental principles of traffic flow, including capacity, speed, and density relationships.

• Learn how to model and predict traffic behavior using various traffic flow theories.

• Study how traffic flow analysis informs the design and optimization of road networks.

• Apply real-world data to solve traffic congestion problems and improve traffic management strategies.