Mastering the Future: From 3D Games to AI Insights (BIP)

June 16-27, 2025 (face-to-face part)

to be announced (online part)

Mendel University in Brno warmly invites you to participate in the Blended Intensive Programme (BIP) on Mastering the Future: From 3D Games to AI Insights, hosted by the Faculty of Business and Economics. This unique programme combines short-term mobility for both online and physical components. The face-to-face session is scheduled from June 16-27, 2025, while the online part will be announced. Designed primarily for students, the programme also welcomes staff members to join. This BIP is suitable for people with basic programming knowledge who would like to expand their skills, especially in connection with principles and approaches in artifical intelligence. Boost your qualifcations and broaden your horizons with us!

Interested participants are encouraged to May 1, 2025!!! – use the link below:

Registration

Would you like to attend our BIP? The deadline for registration is May 1, 2025!!!. Once you register, we will contact you within 2 weeks.

Registration link

Information

  • Activities lectures, interactive workshops, team projects
  • Topics Data Processing, Data Analysis, AI, Modern Technologies
  • Registration Deadline: DOPLNIT. Use link above.
  • Costs covered by sending institution (travel costs, accommodation) within the Erasmus+ programme, Other costs (excursions, food etc.) in charge of coordinating institution
  • Credits
  • Target Group Bc, MSc, PhD students, employees (STT mobilities)

Programme

Introduction to Data Mining with Machine Learning

  • Unlock the power of data with this exciting course designed to introduce you to the world of knowledge discovery and decision support using large datasets! You’ll dive into the fundamentals of data mining and machine learning, learning how to transform raw data into meaningful insights. From defining the problem to preparing your data and applying popular machine learning algorithms, you’ll gain hands-on experience with every step of the process.
  • Whether you’re just starting out or looking to build a solid foundation in data analysis, this course is perfect for beginners who want to understand how to harness the power of data for decision-making. By the end, you’ll have the knowledge and skills to tackle real-world data challenges with confidence!
12 hours

Fuzzy-Expert Systems

  • Step into the fascinating world of fuzzy logic and intelligent decision-making with this hands-on course. Explore the principles of fuzzy expert systems and learn how to implement them using Matlab, a powerful tool for real-world applications. Through interactive sessions and practical projects, you’ll:
    • Master the fundamentals of fuzzy logic and how it differs from traditional rule-based systems.
    • Build and test your own fuzzy inference system, using if-then rules to model complex decision-making.
    • Design and implement a knowledge base in Matlab, refining and optimizing it for real-world scenarios.
    • Explore cutting-edge applications, from decision support systems and recommender systems to smart home automation and fuzzy control systems.
12 hours

Explore the Power of Computer Vision

  • Computer vision is a powerful tool, which allows you to gather a huge amount of information. In this course, you will learn the fundamentals of a classical computer vision techniques such as filtration and segmentation on the real-word images. During the course, you will explore how to:
    • design an own Instagram-style filters,
    • repair a corrupted images,
    • create an automatic hand drawings from the photos,
    • enter the fascinating word of filtering.
6 hours

What is behind the Artificial Intelligence

  • Artificial intelligence is a great tool for many applications as the image classification, hand-writen font recognition, speech recognition or even the large language models. But what is hiden behind and how all of this began? During the course, you will explore how to:
    • design and train your own artificial neuron,
    • connect the neurons to a complex framework,
    • automatically sort the inputs by the given pattern,
    • explore the limitations and get over them.
6 hours

Registration

  • Registration is mandatory for the participation at the event.
  • Only registered students/staff will be allowed to participate.
  • The confirmation of the registration will be sent to your email by our coordinator.
  • Deadline for registration is May 1, 2025.
Registration

Administrative process

  • Participants are required to register using the provided registration form. Upon successful registration, they will receive an Acceptance Letter.
  • It is recommended that participants secure a grant from their home institution to cover travel and accommodation expenses, which are allocated as follows:
    • 1-14 days (79 euros/day)
    • 15-30 days (56 euro/day)
  • Participants must consult their home university to understand the conditions of the mobility and confirm eligibility for a grant.
  • A completed Learning Agreement is mandatory prior to mobility. Detailed information on this will be sent to participants before their departure.
  • At the end of the mobility period, participants will be issued a Confirmation and Transcript of Records. Additionally, students participating in the BIP will be awarded 3 ECTS credits.
  • Staff can participate within the Erasmus+ STT (Staff Mobility for Training) or Erasmus+ STA (Staff Mobility for Teaching):
    • E+ STT – qualifying as eligible BIP participants
    • E+ STA – qualifying as organizers/lectures, not as participants
  • For documentation, you will be contacted by BIP organizers.

Accommodation

  • accommodation can be booked at university dormitory (Jan Amos Komenský, Kohoutova 3-11, 613 00 Brno)
  • each participant can arrange his/her own accommodation outside the dormitory
  • accommodation is paid by each participant

Contact

Tereza Smidova
International Relations Officer
building X
+420 545 135 030
Andrea Sasinkova
Coordinator of BIP
building Q
+420 545 132 231
Mendel University in Brno
Zemědělská 1665/1, 613 00 Brno
IČO: 62156489
DIČ: CZ62156489
Faculty of Business and Economics
Zemědělská 1665/1, 613 00 Brno
IČO: 62156489
DIČ: CZ62156489