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Applying and Understanding AI: a journey through the world of images

Using Artificial Intelligence (AI) to analyse images and videos is booming, with applications raging from face-recognition and biometrics to self-driving cars and augmented reality . It is one of the most exciting and rapidly evolving areas of Artificial Intelligence. But how can you ensure that AI and Data can be effectively utilized in the daily practice? Data and AI have become so ingrained in our daily lives that it is essential for future professionals to acquire at least a basic understanding of them. Do you want to be well-prepared for your future as a professional, where knowledge of AI and Data is indispensable? Then participate in this minor...

This subfield in AI is called Computer Vision. Computer Vision is the field of study that enables computers to see and understand the visual world. In this minor, you will learn the fundamental concepts and techniques of computer vision and Machine Learning, as well as how to apply them in real-world problems.

You will not need to write any code in this course, as we will use interactive tools and platforms that allow you to experiment with computer vision algorithms.

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This minor provides a comprehensive introduction to the field of computer vision and machine learning. It covers the fundamental concepts of image representation and processing, image features and descriptors, image classification and object recognition.

You will apply your newly gained knowledge in real world problems in projects by developing computer vision for a Health Robot, creating new solutions to limit street litter or using computer vision for complex business challenges.

In this minor you work on complex challenges where the solution is not readily available, and various fields of expertise are required. That is why you will be working in interdisciplinary studentteams. With all involved parties around the challenge, we form a learning community. To develop a genuine, sustainable solution, you must be genuinely curious, not settle for a run-of-the-mill idea, and be willing to completely miss the mark, get back up, and try something new again. Are you ready for it?

 

Leerdoelen

The learning outcomes for this minor are:

- The use of advanced data collection and analysis methods, along with artificial intelligence, to gain insights and develop solutions for complex societal problems.

- Students use data and artificial intelligence (AI) to develop prototypes for societal issues, engaging in iterative design processes of repeatedly designing and improving.

- Students contribute their own opinions and expertise while respecting the perspectives of others to collaboratively develop solutions. They actively engage in the team and work constructively with others.

- Students proactively manage their professional performance, development, and growth by thoughtfully reflecting on their own actions. They leverage valuable feedback and set personal learning goals, including improving skills and knowledge in data and AI.

Ingangseisen

None

Literatuur

You will need a subscription to openAI, which costs 20 dollars a month. 

Rooster

The minor is divided in a group assignment  and a personal assignment.

The group assignment is credited with 20 EC and has supporting classes to be able to gain new knowledge about AI/Computer Vision

The Personal assignment is credited with 10 EC. Students have the freedom to create their own curriculum based on their interest and needs as a professional.

We have two days of classes in a week, starting from 10.00 till 16.00 o’clock. On Tuesday and Friday.

Toetsing

Presentations, Prototype and research, portfolio (free form) and assessments.

Group – 20 EC

Personal – 10 EC