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Dr. Alfredo Núñez Vicencio - Teaching

MSc courses Smart Transportation Infrastructure

  • CEG-CIEM6000 Base Traffic and Transport Engineering: Week 2.6 Railway Infrastructure Design and Technology
  • CEG-CIEM5260 Transportation Infrastructures
  • CEG-CIEM6240 Road and Railway Engineering
  • CEG-CIEM5310 Elective Contact and Interface Mechanics for Engineering Structures
  • CEG-CIEM5311 Elective Transportation Infrastructures under Extreme Conditions
  • CEG-CIEM5312 Elective Emerging Technologies for Transportation Infrastructure

MSc courses

  • IFEEMCS520100 Fundamentals of Artificial Intelligence Programme: Unsupervised learning
  • CEG-CIEM5110 Structural Mechanics and Dynamics: Laboratory hanging rail
  • CEG-CIEM5130 Design of Civil Structures and Infrastructures: Modules on the railway infrastructure related topics
  • CEG-CEGM2008 Crossover Monitoring of Structural Health and Geohazards
  • CEG-CEGM2004 Crossover Noise and Vibration Generation Propagation and Effect on Humans and Environment

Professional Education and Open Courses

BSc course

Highlighted News

CEGM1000: together with Yuanchen Zeng and Karim El Laham, we have developed a lecture about Markov Chain Monte Carlo for the course Modelling, Uncertainty and Data for Engineers. You can see the lectures in the next videos. Recommendations on the materials are always welcome. Just contact us if you would like to have access to the Notebooks or slides.


IFEEMCS520100: together with Hongrui Wang, Wassamon Phusakulkajorn, and Taniya Kapoor, we have developed a lecture about clustering for the course Fundamentals of Artificial Intelligence Programme. You can see the lectures in the next videos. Recommendations on the materials are always welcome. Just contact us if you would like to have access to the Notebooks or slides.


Applied Machine Learning: together with Hongrui Wang, Jurjen Hendriks, Siwarak Unsiwilai, and Kevin Chong, we have developed a lecture about clustering for the course Applied Machine Learning. Here you can see the lectures.


Railway Engineering, Performance over time:. We are happy to interact with students from all over the world. Particularly, in the framework of this online course, I got to learn a lot about joint problems and challenges different countries are facing regarding their railway infrastructure. You can see some "ask the professor" videos I recorded for this course.


Old courses

  • CEG-M1000 Modelling, Uncertainty and Data for Engineers: First round of the course in Week 1.8 Monte Carlo and Week 2.6 Unsupervised learning
  • 3TU-3mE-SC4081: Knowledge-Based Control Systems
  • CEG-CIE5875: Railway Asset Management
  • CEG-CIE5871: Capita Selecta Railways
  • TU-CS4305TU: Applied Machine Learning