Companies and their IT systems are affected by advanced intrusions, various ransomware attacks and or thefts of both sensitive and secret information. In case of being compromised companies need to understand their weak points, ways of intrusion and attackers attributes.
The course focuses on developing the student’s skills to investigate and analyze complex cyber attacks (Cyber Kill Chain) and to track the threat actor, discover exploited vulnerabilities so that companies can restore data and system integrity.
Digital forensic is the process of detecting and investigating hacking attacks via properly extracted and analyzed evidence and artifacts to report the crime and prevent similar attacks in the future. The crime with computers and digital technologies in today’s cyber world is on the rise. Digital forensic techniques are being used by law enforcement agencies, police, government, and corporate entities around the world. The tools and techniques covered in the course will prepare the attendees to conduct digital forensic investigations using ground-breaking technologies.
This course deals with model-based testing, a class of technologies shown to be effective and efficient in assessing the quality and correctness of large software systems. Throughout the course the participants will learn how to design and use model-based testing tools, how to create realistic models and how to use these models to automate the testing process in their organisation.
In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.
This course makes you acquainted with the concept of systems-of-systems (SoS), which means that independent systems are collaborating. It gives you an understanding why SoS is an important topic in the current digitalisation and provides a theoretical and practical foundation for understanding important characteristics of SoS. It also gives you a deeper knowledge in a number of key concerns that need to be considered when engineering SoS.
Admitted students to this course may join the course any time between August 30 and October 24, 2021. With the recommended study pace of 25%, the course would take approximate seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than January 16, 2022.
The aim of this course is to give students insight about certification and about what it means to certify/self-assess safety- critical systems with focus on software system and to create a safety case, including a multi-concern perspective when needed and reuse opportunities, when appropriate.
This course provides an understanding of the fundamental problems in software testing, as well as solid foundation in the practical methods and tools for a systematic state-of-the-art approach to testing of software.