ITW – Internationale Woche

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.

Today's Business aims at saving cost, to improve margin or to reinvest. Or maybe your enterprise is still trying to grow. Perhaps this is the time for a pivot - to reinvent the business model. Some of the Businesses may even need to do all of these at once.

Business leaders and technologists must assess the potential impact of these technology trends on their specific strategies, such as growing revenue, accelerating digital, maximizing value from data, or protecting and building your brand. Client centric digital offerings have become the primary focus of Solution providers.

This course aims to introduce to some of the emerging digital technologies which are the new foundations of a Live Enterprise.

The following are the 4 main aspects of an IT Project.
(1) People
(2) Process
(3) Technology
(4) Domain

The scope covers few trending technologies and processes widely practiced in the industry:
A: Technology: Al & ML, Process: Agile
B: Technology: Big data and BI
C: Technology: Cyber Security & Cloud
D: Process: DevOps

1. Introduction to Ethical Hacking and Vulnerability Analysis
   Fundamentals of key issues in the information security world, including the basics of ethical hacking. Different vulnerability assessment and Penetration testing tools: Shodan, Nmap, Nexpose, Netcraft, privateeye, Google advanced search operators, Harvester, Burpsuite
   
   
2. Social Engineering and Session Hijacking
   Social engineering concepts and techniques, including how to identify theft attempts. Case Study: Phishing attack MiM attack: Kali Linux, BettrCap, SetTool Kit, GoFish
   
   
3. Hacking Web Servers and Hacking Web Applications
   Web server attacks, including a comprehensive attack methodology used to audit vulnerabilities in web server and web applications. web application hacking methodology, SQL Injection attack, HTTrack
   
   
4. IoT and Cloud Hacking
   IoT and Cloud attacks, hacking methodology, hacking tools, IoT and cloud security techniques and tool

The module will present the students a holistic approach to constructing a successful online business. The course will include practical examples and hands-on experiences. Emphasis will be on business, and no previous experience on the topics or coding are required. Basic understanding of web technologies will help, however. The topics cover the following areas:

• Basic online business principles: business and revenue models, value creation, KPIs
• Usability and findability: UX design principles and heuristics, search engine optimization, online advertising
• Online measurement and analytics: Google Analytics: implementation and configuration, debugging, conversion, audiences, Google Tag Manager fundamentals: tagging, triggering, integration to the website and GA4
• Reporting and controlling: Google Looker Studio: data retrieval, dashboard configuration, connection to KPIs

This module introduces the core ideas and the basis techniques of machine learning. It covers theory, algorithms and applications, focusing on real understanding of the principles of inductive learning theory and of several machine learning techniques.

• Concept Learning
• Decision Tree Learning
• Bayesian Learning
• Artificial Neural Networks
• Support Vector Machines

Phyton is the programming language used in this module but prior knowledge of Python programming is not required. Students will gain all required knowledge in a step-by-step fashion, through examples.