Embark on a journey where the power of AI and data science converges with industry! Learn to use your own data as a catalyst for profound insights and strategic decision-making. Spanning three illuminating modules spread across three weeks, this course is designed to empower you with the skills and knowledge necessary to harness the full potential of data. 

Target audience: Engineers and managers who are looking to know how to make decisions from the data they have.

Pre-knowledge: No prior knowledge required.

Course content: The first module serves as your initiation into the realm of data analysis. Here, you will unravel the mysteries of data itself, delve into the Cross-Industry Standard Process for Data Mining (CRISP-DM), and equip yourself with a toolbox brimming with practical tools. The beauty of this module lies in its accessibility, requiring no prior programming expertise. You'll become adept at utilizing versatile tools such as RapidMiner, standard Excel, Weka, and even venture into the realm of programming with Python. Once you've mastered the art of deciphering data, our second module beckons you to explore the realm of machine learning. You'll discover how to empower machines to work seamlessly with data, facilitating their capacity to learn and adapt. We'll delve into the evaluation of machine learning algorithms and explore real-world applications like ChatGPT, where machine learning takes center stage in processing and understanding text. As we approach the course's culmination, our third module unveils the captivating world of visual data. You'll gain insight into how computers perceive and interpret visual information, offering you a glimpse into the fascinating world of computer vision.

How the course will be conducted: The course combines self-study and online meetings. The course is structured as follows: Tutorials (36 hours) Online meetings (4.5 hours)

Dates and times for the online meetings:

2024-04-19 kl. 13:00-14:00

2024-04-26 kl. 13:00-14:00

2024-05-03 kl. 13:00-14:00

To pass the course you need to participate in all online meetings and submission of all individual data is required. This ensures that the participants understand and master the course content and can apply their newly acquired knowledge and skills in practice.

Presentation of the teachers: In this course, you will meet Professor Marcus Liwicki, Senior Lecturer Homam Mokayed and Senior Lecturer György Kovács.