ITW – International Week

This course is designed to introduce next-generation AI systems capable of autonomous decision-making, planning, reasoning, and self-improvement to students. Unlike traditional reactive AI models, Agentic AI systems can initiate actions, perform multi-step tasks, collaborate with other agents, and adapt to dynamic environments. This course equips learners with both theoretical foundations and hands-on experience in building autonomous AI agents.

The learners will explore agent architectures, cognitive models, memory systems, tool-use capabilities, multi-agent collaboration frameworks, and practical agent deployment workflows. Through lab exercises using modern frameworks such as Flowise, LangChain, AutoGen Studio, CrewAI, and AgentOps, students will build goal-driven agents, evaluators, planners, and multi-agent systems. Real-world applications from business automation, sustainability, smart systems, and software engineering will be emphasised throughout.

The course ends with a practical assessment where participants design, implement, and demonstrate a functional autonomous agent. By integrating theory, hands-on experimentation, and evaluation, this course provides a strong foundation for applying Agentic AI in academic, industrial, and research environments aligned with the green digital transformation.

In this course, students will learn how to transform and visualize business data using Power BI, integrating advanced features such as AI-driven insights. Students will gain skills in data cleaning and modeling, designing interactive dashboards, and deriving actionable business insights. Through hands-on exercises, students will develop practical expertise in the following areas:

• Introduction to Business Data Visualization: Power BI overview and setup, Navigating Power Query Editor.
• Data Transformation and Modeling for Analytics: Using Power Query for Data transformation, Relationships between Data models.
• Building Interactive Dashboards: Data preparation with Power Query, Basic visuals, usage of interactive elements: Filters, slicers, Drill-throughs, visualising data in business dashboards using Power BI.
• Incorporating AI Insights: Using Power BI’s built-in AI insights: Influencers, Decomposition Tree and Q&A features.
• Case Study: Perform end-to-end analysis and create interactive dashboard on Stock Market Dataset to identify key trends, patterns, and actionable insights. 

This module is designed to provide students with the knowledge and skills necessary to design, implement, and manage secure computer networks.

In this module, students will gain a solid foundation in establishing and maintaining robust network infrastructures. Simultaneously, the module addresses the critical aspect of securing these networks against potential threats, ranging from cyberattacks to data breaches. Through a combination of theoretical concepts and practical exercises, students will develop the expertise needed to identify vulnerabilities, implement security measures, and formulate strategies to safeguard information assets in the interconnected world of computer networks.

In addition to providing a broad range of fundamental computer networking and security knowledge for all IT careers, this module will also provide students with an opportunity to further self-study and gain conceptual knowledge and practical skills required for 200-301 Cisco® Certified Network Associate (CCNA®) exam.

This course provides students with practical knowledge and skills in computer networks, focusing on how networks are constructed, configured, and operated by computer network engineers. The course begins at the physical layer with hands-on construction of LAN (Ethernet) cables, and then introduces fundamental concepts such as classful and classless IP addressing, switching, and routing.

Students will learn static routing as a foundation, followed by dynamic routing protocols including RIP, OSPF, and BGP through practical laboratory exercises. The course also introduces essential network security concepts, with particular attention to firewalls and basic network protection mechanisms required in real network environments.

In the final part of the course, students are introduced to next-generation networking paradigms, such as IoT, Software-Defined Networking (SDN), and Quantum Networks, providing insight into future network evolution. In addition to delivering a broad foundation in computer networking for IT and engineering careers, this course also supports self-study towards the 200-301 Cisco Certified Network Associate (CCNA) exam by developing relevant conceptual understanding and practical skills.

This course gives business students a practical, no coding introduction to data analytics using Altair AI Studio. You'll learn to build an end to end analytics workflow-from importing and preparing data to selecting variables, building models, evaluating performance, and interpreting results for business decisions.

• Course kickoff, AI Studio workflow basics, and practical data preparation for modelling
• Regression
• Clustering
• Tree models
• Association analysis

The course aims to guide students in designing and building an E-Commerce website over the course of a week, applying principles of good user experience with a particular focus on theories and strategies related to emotional and persuasive design. During the week, students test each other’s projects using various methods, such as interviews and observational studies, in addition to employing analytics tools to enhance their understanding. 

Course Outline

• Monday: Introduction to basic operations and User Experience (UX) principles. Task: Set up the E-Commerce website for specific target groups and create user personas.
• Tuesday: Emotional Design. Task: Design and implement the E-Commerce website, incorporating Emotional Design strategies tailored to the selected target groups and personas.
• Wednesday: Persuasive Design. Task: Conduct user tests, apply Persuasive Design strategies, and develop the next iteration of the E-Commerce website.
• Thursday: Growth Hacking planning for the E-Commerce website Task: Conduct user tests and finalize the E-Commerce website with its final iteration. Develop a plan for improving the website, including strategies for growth and optimization.
• Friday: Presentation and Reflection. Task: Present the completed websites and key findings. Summary: Recap and reflect on the process.

The course concludes with an exam. 

Applying theoretical concepts in practice during the course, combined with students testing each other's E-Commerce websites, provides valuable insights. This process helps students recognize and understand different user groups, learn how to emotionally engage them, and effectively use emotions and persuasion in the E-Commerce context.

This course provides a comprehensive understanding of artificial intelligence (AI) security, with a focus on ethical hacking principles, attacks on AI systems, and defence strategies. Students will gain practical knowledge of key threats such as data poisoning, model inversion and backdoor attacks. They will understand how to design secure and ethically responsible AI solutions. Using advanced tools such as the Adversarial Robustness Toolbox, CleverHans and others, students will learn to identify vulnerabilities and implement protection methods.
 
Learning Objectives:

1. Understand the key security challenges and threats in AI systems.
2. Learn to perform ethical hacking attacks such as data poisoning, model inversion and backdoor attacks.
3. Analyse and apply defence strategies such as differential privacy, anomaly detection and adversarial model training.
4. Promote an ethical approach to AI security, guided by legal regulations and moral principles.

 
Recommended prerequisites for students: Python, ML/AI basics
 
Practical Assessments (Hands-On Labs) formats:

• Red Team vs. Blue Team.
• AI Model Building & Defense using tools like Adversarial Robustness Toolbox or CleverHans to secure or attack AI systems.

Digital Marketing Strategies

Digital marketing channels (owned, earned, paid)

Search Engine Optimisation

Digital marketing target group segmentation

Social media marketing (including TikTok)

Digital marketing targets, analytics and metrics

1 Introduction to Ethical Hacking and Vulnerability Analysis Fundamentals of key issues in the information security world, including the basics of ethical hacking,. Ehiical Hacking Life cycle, Different vulnerability assessment and Penetration testing tools, overview of AI in offensive and defensive security

2. Social engineering and session hijacking Social engineering concepts and techniques, including how to identify theft attempts, use of generative AI for phishing content and deepfakes

Web server attacks, including a comprehensive attack methodology used to audit vulnerabilities in web server and web applications. web application hacking methodology,.

3 IoT and Cloud Hacking IoT and Cloud attacks, hacking methodology, hacking tools, IoT and cloud security techniques and tool

4. Introduction to Cyber Forensics: Principles of Cyber Forensics, Chain of Custody and Evidence Handling, Introduction to Digital Evidence Types, Importance of Forensic Image Creation, introduction to machine-learning-supported triage of logs, files and network traces

5 File System and Disk Forensics: Analyzing File Systems: FAT, NTFS, EXT, Data Recovery Techniques and Deleted File Recovery. Identifying Hidden Files and Metadata

Network Forensics: Basics of Network Traffic Analysis, Identifying Suspicious Network Activity, Packet Analysis and Monitoring Logs

This course provides a comprehensive introduction to the principles, mathematical foundations, hardware concepts, and programming tools of quantum computing. Students will explore qubits, superposition, entanglement, quantum gates, algorithms, noise models, error correction, and real-world applications. Hands-on sessions using Qiskit enable learners to construct and simulate quantum circuits and run programs on IBM Quantum devices.

• foundations of quantum computing
• quantum gates and quantum circuits
• quantum algorithms
• quantum hardware, noise & error correction
• applications, future trends & quantum programming

The International Week took place from 12.05.2025 to 16.05.2025.