MALWARE ANALYSIS

The aim of this course is that students will learn about the analysis, design, and programming of deep learning algorithms. The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Applied Deep Learning with PyTorch, 5 credits Who is this course for?This course provides the theoretical and practical aspects of deep neural networks. It is intended for students with a background in computer science and engineering. What will you learn from this course?Students will learn about the analysis, design, and programming of deep learning algorithms. The course has two modules: theory and practice. The theoretical content covers basic principles of multi-layer perceptions, spatio-temporal feature extraction with convolutional neural networks (CNNs), and recurrent neural networks (RNNs), classification and regression of big data, and generating novel data samples using generative models. The practical sessions cover the basics of programming with PyTorch. For instance, image classification and semantic segmentation using CNNs, future image frame prediction with RNNs, and image generation with generative adversarial networks. What is the format for this course?Instruction type: Teaching is in English and fully online. It consists of lectures, computer exercises, and project work. In the computer exercises, the student solves small problems using deep learning models. After programming various exercises, the participants will develop an advanced deep learning project. Participants will be encouraged to bring their own data. High-end GPU machines can be provided for the exercises and project.

This course provides an introduction into network security and covers core security concepts such as, e.g., firewalls, authentication, certificate management, encryption, "stateful packet inspection", VPN and others. During the course you are provided with slide and video materials as well as a set of practical assignments and thus gain both theoretical and practical knowledge and skills needed for the installation, troubleshooting, and monitoring of network devices to maintain the integrity, confidentiality, and availability of data and devices.

The main goal of this course is to teach you basic knowledge and skills in argumentation.You will be engaged in co-constructing evidence-based justifications as well as in analyzing existing justifications in search of argumentation fallacies. Individual work as well as group-based work will allow you to practice. You will analyze climate-related articles (published in scientific literature but also in the news) and will extract the implicit underlying arguments and provide their analysis.Ultimately, this course will help you to develop basic argumentative skills needed to critically join the debate in society on climate goals. Who is the course for?CLIMATE GOALS, ARGUMENTATION, EVIDENCE is aimed at anyone who is interested in moving the first steps into the argumentation domain with the purpose of joining the debate on climate goals.An engineer (but also a politician) is expected to have founded arguments before taking any (climate-related) action. A citizen is expected to have founded arguments before engaging and sustaining any climate-related political agenda. How is the course structured?The course is a 4-week course. Each week mainly focuses on a single Intended Learning Outcome.

This course is taught in Swedish. Expand your Lean toolbox with a "Green Kaizen" tool that works! We now have less than seven years to meet the 1.5 degree target based on the CO2 budget calculated by the IPCC (UN Intergovernmental Panel on Climate Change). New technologies and new environmental investments are an important part of the societal transformation needed, but equally important is changing the way we work and behave in our daily lives and workplaces to reduce our environmental impact. In this course you will get training on an environmental improvement tool that has been successfully tested in a number of companies. The tool engages co-workers and teams to reduce the environmental impact in their own workplace and also helps to accelerate the pace of improvement. The course has four main themes: Identifying waste to avoid risk of harm to people and the environment Using improvement methodology for environmental and resource efficiency improvements Analysing and developing sustainable processes Working with visions and goals for long-term sustainable development Waste is anything that is not necessary of energy, raw materials, equipment, components, land, space and working time, to meet the customer's needs. With "green Lean glasses", the risks of harm to people and the environment are the most unnecessary and in the long run the most expensive wastes, not least for the climate. Lean & Green is a refresher course in green lean tools for those who want to build and develop a sustainable organisation. We use the Green Performance Map, an improvement tool for environmental and resource efficiency that also helps to identify opportunities for a more circular economy. Course objectives After completing the course you should be able to: Use the Green Performance Map tool to identify environmental failures and engage the whole staff in the improvement process Understand how the approach could be implemented in your organisation Integrate environmental improvement work into daily lean work Course outline The course consists of 4 digital half days plus homework. These include lectures, group discussions and practical exercises, including sustainability analysis of a process within your own organisation. You will be given a homework assignment between the course days in order to deepen your knowledge of Lean & Green. The assignment is based on your own and your organisation's work with sustainable development. The course is conducted by KTH Leancentrum in Södertälje. The lecturers are researchers and practitioners from KTH and RISE IVF. Among other things, you will learn: Seeing "green" as part of lean Identifying environmental failures in the workplace Using the "Green Performance Map" tool Target group Supervisors, production managers, environmental managers and lean coordinators. See all courses that KTH Leancentrum offers

This course is taught in Swedish. The course alternates theory and practical exercises, based on the lecturers' experiences and the latest international research on lean, leadership and lean/agile leadership. A lot of focus is put on creating space for training and own reflection on these issues. Are you ready for the leadership of the future? How can you as a leader develop your ability to lead change and sustainable development? Leadership is crucial for an organisation's lean journey. What distinguishes lean leadership from other leadership? The course is based on four main themes: Developing and clarifying your operational leadership Coaching and developing employees Leading organisational change Working with vision and goals for long-term development Course objectives On completion of the mission training you should be able to: discuss and reason about models of Lean leadership related to leadership conditions and sustainability and how this affects your own leadership, analyse and evaluate where your own business/department is from a lean leadership perspective, explain the methods applied in lean leadership, suggest those that are appropriate for your own business/department's improvement work and use them, formulate a vision based on lean principles and concretise it in an action plan for the business. Course outline The course consists of 10 days, spread over 5 sessions. These include lectures, seminars, group discussions, study visits and practical exercises, including analysis of both your own leadership and your own business. You will receive homework assignments between the course sessions in order to deepen your knowledge of lean leadership. The assignments are based on your own and your organisation's work with leadership development. The course is conducted by KTH Leancentrum in Södertälje. The lecturers are researchers and practitioners from e.g. AstraZeneca, KTH, N4 and Saab Aeronautics. You will learn among other things: Lean, leadership and lean management How an organization can work to implement lean in a sustainable way Leadership and lean in relation to impacts, such as quality and health Leadership conditions Target group People in management positions (managers and improvement leaders), in both the private and public sectors, who have started their lean work. Participants are expected to have a basic knowledge of lean and should be experienced in the role of a leader. See all courses that KTH Leancentrum offers

Virtual commissioning (VC) is a technique used in the field of automation and control engineering to simulate and test a system's control software and hardware in a virtual environment before it is physically implemented. The aim is to identify and correct any issues or errors in the system before deployment, reducing the risk of downtime, safety hazards, and costly rework. The virtual commissioning process typically involves creating a digital twin of the system being developed, which is a virtual representation of the system that mirrors its physical behaviour. The digital twin includes all the necessary models of the system's components, such as sensors, actuators, controllers, and interfaces, as well as the control software that will be running on the real system. Once the digital twin is created, it can be tested and optimized in a virtual environment to ensure that it behaves correctly under various conditions. The benefits of using VC include reduced project costs, shortened development time, improved system quality and reliability, and increased safety for both operators and equipment. By detecting and resolving potential issues in the virtual environment, engineers can avoid costly and time-consuming physical testing and debugging, which can significantly reduce project costs and time to market. The course includes different modules, each with its own specific role in the process. Together, the modules create a comprehensive virtual commissioning process that makes it possible to test and validate control systems and production processes in a simulated environment before implementing them in the real world. Modeling and simulation: This module involves creating a virtual model of the system using simulation software. The model includes all the equipment, control systems, and processes involved in the production process. Control system integration: This module involves integrating the digital twin with the control system, allowing engineers to test and validate the system's performance. Virtual sensors and actuators: This module involves creating virtual sensors and actuators that mimic the behavior of the physical equipment. This allows engineers to test the control system's response to different scenarios and optimize its performance. Scenario testing: This module involves simulating different scenarios, such as equipment failures, power outages, or changes in production requirements, to test the system's response. Data analysis and optimization: This module involves analyzing data from the virtual commissioning process to identify any issues or inefficiencies in the system. Engineers can then optimize the system's performance and ensure that it is safe and reliable. Expected outcomes Describe the use of digital twins for virtual commissioning process. Develop a simulation model of a production system using a systems perspective and make a plan for data collection and analysis. Plan different scenarios for the improvement of a production process. Analyze data from the virtual commissioning process to identify any issues or inefficiencies in the system and then optimize the system's performance. Needs in the industry Example battery production: Battery behaviors are changing over time. To innovate at speed and scale, testing and improving real-world battery phenomena throughout its lifecycle is necessary. Virtual commissioning / modeling-based approaches like digital twin can provide us with accurate real-life battery behaviors and properties, improving energy density, charging speed, lifetime performance and battery safety. Faster innovation (NPI) Lower physical prototypes Shorter manufacturing cycle time Rapid testing of new battery chemistry and materials to reduce physical experiments Thermal performance and safety It’s not just about modelling and simulating the product, but also validating processes from start to finish in a single environment for digital continuity. Suggested target groups Industry personnel Early career engineers involved in commissioning and simulation projects Design engineers (to simulate their designs at an early stage in a virtual environment to reduce errors) New product introduction engineers Data engineers Production engineers Process engineers (mediators between design and commissioning) Simulation engineers Controls engineer System Integration