CYBER SECURITY AND FORENSICS

The course introduces students to the basics of filesystems, operating systems, and their use in the area of digital forensics. They will learn essential cybersecurity principles and incident response techniques. Moreover, the attendees will try out various attacks, their detection, and how to create countermeasures.

Key outcomes

• Understanding fundamental concepts of cybersecurity and digital investigation
• Learning how to acquire a forensic image and examine filesystems, OS, and data
• Gaining skills for incident responses and forensics with real-world cybersecurity case studies
• Learning the essentials of cryptography, password protection, and cracking
• Getting hands-on experience to develop skills via open-source security tools
• Try out real cyber attacks in a lab environment and learn how to protect your system against such attacks

Lecturers

Ondřej Ryšavý, Radek Hranický, Jan Pluskal, Patrik Holop, Anton Firc, Petr Hanáček and Kamil Malinka

MACHINE LEARNING

Students will get a broad perspective on the latest topics in machine learning and they will gain solid practical foundations to be able to solve advanced problems on their own. They will learn general data processing and machine learning methods, focusing on practical implementation in Python. The students will also learn general concepts of deep learning, including convolutional and recurrent networks. Lectures will also focus on specific state-of-the-art approaches in object and scene understanding from images, speech recognition and speaker identification, as well as language modelling and understanding

Key outcomes

• Gaining practical understanding of basic concepts of machine learning and data processing
• Being able to use convolutional and recurrent networks in practical applications
• Understanding basic concepts of computer vision
• Understanding the structure and parts of a speech recognition pipeline
• Understanding how words are represented in natural language processing methods
• Being able to extract semantic information, from text
• Experiencing how practical problems can be solved by machine learning in a team project

Lecturers

Lukáš Burget, Michal Hradis, Lukáš Sekanina, Martin Fajčík and Karel Veselý

INTERACTIVE APPLICATIONS

The students will learn about the importance of user interfaces for efficient computer usage. They will be acquainted with basic principles and structure of applications and user interface development tools, master various aspects of the UI design process: from design thinking and user-centred design, to architecture design of web applications. Participants will practice their skills with modern development tools and technologies, design and develop a functional web application, and develop their presentation and teamwork skills.

Key outcomes

• Understanding of the bigger picture by studying the past, present, and future of user interfaces and human-machine interaction
• Understanding the design process focused on human-centred design
• Critically analysing contemporary websites, learning how they are built and deployed
• Understanding information system architecture
• Learning to design and develop front-end web applications based on classic and modern technologies
• Completing a team project that builds on multiple syllabus criteria

In 2024, the course will include the technology blocks needed for the practical development of such applications, in particular:

• security architecture of software applications using network communications,
• cloud technologies and security in the cloud,
• integration of AI libraries and models, including ML basics.

Lecturers

Adam Herout, Víťa Beran , Radek Burget, Libor Polčák, Jarek Dytrych and Jan Pluskal

INTRODUCTION TO THE CLOUD

This is an introductory course to cloud computation. Theory covering vendor-specific services and practical demonstrations will occur on the Google Cloud Platform. Students will learn basic principles and techniques, allowing them to move from on-premises to the Cloud as effortlessly and painlessly as possible. Additional emphasis is given to native cloud development that opens a door for serverless applications to surpass the old and cumbersome monoliths. After the course completion, students will be confident to make business decisions on cloud migration and draw upon their experience with cloud-native technologies qualifying them to analyze Big Data and apply Machine Learning.

Key outcomes

• Understanding of Cloud Basic concepts and why it is a technology and business game changer
• Learning how to Compute on Cloud
• Being able to implement a variety of structured and unstructured Storage models
• Understand the different application-managed service options in the cloud
• Being familiar with security in the cloud
• Use and design secure networks spanning multiple datacenters
• Being capable of identifying cloud automation and management tools
• Discover a variety of managed Big Data services in the cloud
• Explain what Machine Learning is, the terminology used, and its value proposition

Lecturers

Jan Pluskal, Kamil Jeřábek

ROBOT PROGRAMMING

Students will learn about robotics, from low-level sensors to high-level planning and controlling. They will learn about programming of Arduino and robotic sensors, connecting various components to Arduino, and interfacing Arduino to a higher-level computer. Lectures will also focus on basic robotics algorithms like localisation, map making, and path planning. Attention will also be paid especially to the internationally recognised robotic framework (ROS) for utilizing studied algorithms. The students will also have an opportunity to learn about agents and multiagent systems for highest-level planning and decision-making.

Key outcomes

• Learning about sensors used in robotics
• Connecting components to Arduino and programming I/O operations
• Interfacing Arduino to a PC with ROS
• Learning robotics algorithm for path planning, localization, and SLAM
• Working with ROS
• Learning about high-level planning and decision making for agents

Lecturers

Jaroslav Rozman, Daniel Bambušek, and Jan Beran