Lecturing and Supervision

Lecturing via Zoom at Tecnológico de Monterrey.

Geomatics #

Tecnológico de Monterrey: 2020-2021 #

My primary objective was to provide students with a comprehensive introduction to Geographic Information Systems (GIS) and related concepts. The course began with a solid foundation in GIS fundamentals, including understanding spatial data, coordinate systems, and map projections. I then guided the students through tutorials in QGIS, a popular open-source GIS software. Students learned how to navigate the QGIS interface, visualize spatial data, perform data analysis, and transform spatial information. To apply their newfound skills, the students embarked on a final project where they analyzed a neighbourhood in Monterrey, Mexico. This project encouraged them to integrate various data sources, perform spatial analysis, and draw meaningful insights to inform decision-making about urban planning.

5th year Architectural Design Studio #

Tecnológico de Monterrey: 2020-2021 #

As the leader of a final year architectural design studio, my approach was centered around empowering students to leverage their unique skills and interests in the design process. With a focus on building design, construction drawings, landscaping, and interior design, I guided the students through the entire architectural process. Beginning with preliminary concepts, we encouraged them to explore their individual passions and strengths. Alongside nurturing their creativity, we emphasised the importance of technical proficiency and introduced them to Revit, a powerful software for architectural design and documentation. Through hands-on workshops and tutorials, we provided comprehensive training on Revit, enabling the students to produce a working set of drawings and architectural renders that showcased their design vision effectively.

Introduction to Urban Data Science #

TU Delft: 2021-2022 #

In this course, I assisted as a teacher assistant. We focused on the crucial role that data and data-based infrastructures play in governance, decision-making, and resource distribution within urban systems. We emphasised the practical knowledge and skills in data analysis and computational methods within the context of decision making for urban planning. We explored the ways in which data can be utilised effectively but also how it can be misused, highlighting the importance of critical evaluation when working with datasets, models, and the questions that arise from them. Through the course, the students learned how to collect, transform, and analyze data using machine learning techniques to gain insights into urban phenomena.

Research Challenges in the Complex Systems and Engineeering Management MSc #

TU Delft: 2023 #

I was a research theme leader in this course. My primary focus was to guide students on the research theme of "geospatial analysis for policymaking" and equip them with the necessary skills to write a systematic literature review. The course began with an introduction to geospatial analysis and its significance in informing policy decisions. We covered key topics such as:

• How to use various databases and search strategies to locate relevant scholarly articles, books, and reports on the subject.
• How to screen and select articles, extract relevant information, and critically appraise the chosen literature.

In addition, I facilitated discussions on key themes and concepts emerging from the literature, guiding students to identify knowledge gaps and potential areas for future research.

Supervision #

TU Delft #

Former Masters Students I supervised:

• Christopher de Bruin:
  A Reinforcement Learning Approach to Equity in Multi-Modal Transportation Networks
  
• Wen-yu Chen:
  To Redefine, Not Reinforce: A Spatial Decision Support System with Generative Design Model for Exploring Optimal Improvements to Existing Street Networks for Enhancing Equity of Accessibility