The course aims to provide students with the skills of real-world threats analysis including phishing attacks, targeted attacks (APTs), cyber weapon, ransomware (cryptolockers) The analysis of such threats requires a special type of education focused on the analysis of modern threats and protection technologies.
The course gives knowledge and practical skills in malware analysis for Windows and Android platforms (x86 and ARM). The students will obtain practical skills in reverse engineering, static and dynamic analysis of malware used in the real-life cyber attacks.
In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically.
This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation.
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 course addresses the concept of circular economy, its use and limitations in the field of environmental engineering, methods for the assessment of resource efficiency, sustainability and environmental impact and practical examples related to waste management.
Are you interested in learning more about the untapped potential of spectral imaging applied to environmental systems? If so, join this course and learn how spectral imaging can be used for control and optimization of environmental technology and come up with novel application ideas that can benefit society.
Statistics is vital in every field and in this course, you will learn the role it can play in the field of sustainable development. You will learn certain statistical tools, how to apply them, and ways of thinking about results that will aid you in your studies and future career.