After you are accepted to the program, you work in one of the tracks offered by the Honors Academy. Each track is supervised and coordinated by a track coordinator and assisted by one or more coaches.

For more information about the TU/e Honors Academy tracks, please click on the links below:

Artificial Intelligence

Delve deep into the issues of state-of-the-art machine learning models and explore solving pressing issues in this field. Learn what AI models can and cannot do and strengthen your expertise in AI.

First year: Study the mechanics and methods of machine learning models related to your project. Explore your topic by means of toy examples.

Second year: Guide first year students in the exploration of issues and development of possible solutions. Apply the work of your group on larger real-world datasets.

Link to track page

Competitive programming and problem solving

Optimize your algorithmic problem solving capacity by participating in and training for programming contests in a team of motivated peers

First year:team formation, participation in the Eindhoven Algorithmic Programming Contest, defining level and ambition and designing a training program

Second year: participating in various programming contests, applying problem solving and programming skills in a research or company project

Link to track page

Empowerment for Health & Wellbeing

Become part of a group that creates intelligent systems to empower people to take care of their own

Link to track page

Energy Transition

Become part of the movement that uses innovation to solve problems in energy production, consumption, transport, and storage to accelerate the energy transition

Teams of 5-7 students are assigned an energy related challenge in which innovation should lead to an interesting and potentially successful solution. Clients can be a company, municipality, the university, an industry, cooperation, or other structure. Output can be a design, business plan, prototype, or concept

Link to track page

High Tech Systems

Learn to apply AI & Robotics for the design of autonomous intelligent systems with hands-on experiences on real miniature racecars and humanoid robots

First year:modules in the form of lectures and group discussions. Each module is completed by a mini-challenge in which new knowledge is applied via the scrum method, outcomes are presented by the students. Year is completed with a bigger project
Second year:project in which students develop their own concept

Link to track page

Networked Society

Identify and solve major societal issues regarding the way we use information networks in an ever more interconnected world

First year:orienting and identifying a research direction via lectures, seminars, and discussions, formulating a project topic and communicating this to a general audience

Second year:carrying out the project and communicating the findings to both an expert and non-expert audience

Link to track page

SensUs Organization

Organize a major contest on Biosensors on an international scale! Work on the future of healthcare and learn what it takes to make international impact

Organizing the SensUs Innovation Days (international student competition) without a standard scenario and restrictions

Link to track page

Smart Cities

Implement new technologies in our city life to optimize the way we live in and interact with our environment

Combination of lectures as well as teamwork regarding a

self-chosen project in the context of one research topic of the Department of the Built Environment (‘Sustainable Transformation’, ‘Smart Living Environments’, or ‘Sustainable Transformation’)

Link to track page

Smart Mobility

Apply state-of-the-art technology and innovations to create new possibilities in and engineer the transportation methods of the future

Generating out-of-the-box new solutions for Cooperative Connected Automated Mobility challenges, using AI and connectivity as technological foundations. Students work in teams and are engaged in real life projects, often from societal challenges in mobility and automotive domains. Typically, teams work in collaboration with industry and other research institutes. 1st year students are matched from day one into a team with more experienced 2nd year students

Link to track page