The EIT digital project

Professional Training Courses: Data Scientist for Energy and Security

The EIT Digital Professional School brings digital innovations to the market and supports the digital transformation of companies and organizations by creating a learning ecosystem. In cooperation with the Fraunhofer Academy they offer continuing education courses, specially designed to provide critical digital knowledge, insights and skills to European professionals and executives, especially in the field of data science in energy and security.

The EIT Digital Professional School targets ICT professionals, executives and decision makers who want to deepen their knowledge and keep their skills up-to-date in a time-effective way. Our courses have a multimodal format, combining university-grade content and online modules with hands-on skills building.

Security for Big Data

Knowledge about increasing speed, mass and value is no longer sufficient for working with big data. There is a fundamental skills gap regarding security and data privacy in big data applications. At least basic knowledge in security is inevitable for a successful implementation of a big data product or service.

This course sensitizes regarding security and privacy and provides the participants with basic knowledge to apply security solutions for big data environments.

This course will enable participants to understand the emerging trends and issues in security and privacy of big data systems and applications. Guided by practical examples, the participants will learn to identify the issues to be tackled, how to choose and apply appropriate approaches, technology and tools, and how to evaluate a solution.

Target group: ICT professionals and data analysts who are designing or building systems that process large amounts of digital data.

Requirements: Basic knowledge about Big Data and IT.

Course dates: November 28-29, 2016 + 1 day online learning

Course fee: 2350 €

Location: Fraunhofer Institute for Secure Information Technology SIT,
64295 Darmstadt, Germany

Data Scientist for Smart Energy Systems

The european power grid is facing massive challenges. The increasing amount of distributed renewable energy generation overthrows the known concepts of producers and consumers in the energy market. Volatile energy sources like wind and solar require the power grid to turn smart, in-order to keep the grid stability facing bottom-up energy and volatile flows. Hence, ICT is playing an increasingly important role steering energy flows and forming the power grid of the future.

The Data Scientist for Smart Energy Systems course will introduce the changes and challenges of the European power grid and discusses the roles of ICT regarding the arising issues. The course identifies the sources of data and presents software solutions to turn Big Data into Smart Data.

Participants will interactively discuss Smart Energy topics and challenges, learn about software solutions based on industry project use cases, and benefit from the experiences of our experts. Additional e-learning material will be provided to deepen contents and own project challenges can be discussed in one-on-one consulting sessions with our SmartEnergy experts. Further, participants get the chance to actively gain expertise using the Fraunhofer Big Data Framework GPI-Space.

Target group: Professionals from the energy industry, ICT architects and developers with energy industry background.

Requirements: Basic knowledge about the energy grid and IT, preferably also in Linux, C++ und Python.

Course dates: October 26-28, 2015 + 1 day online learning

Course fee: 3350 €

Location: Fraunhofer Institute for Industrial Mathematics ITWM, Kaiserslautern, Germany

Data Scientist for Smart Buildings

The blended learning course Data Scientist for Smart Buildings deals with methods and software for intelligent energy management (monitoring, analysis, simulation, optimization) in buildings or infrastructure based on measurement data resources.

The participants will learn to identify and characterize problems within the intellingent energy management area, learn appropriate approaches and methods, see how to apply them, evaluate the outcomes, and communicate solutions developed. They will also learn and exercise the selection, application and evaluation of software tools and results. Techniques to communicate solutions are presented as well; contents include visualization techniques for data, models, optimization outcomes, and discussing alternatives.

This course deals with methods and software for intelligent energy management (monitoring, analysis, simulation, optimization) in buildings or infrastructure based on measurement data resources.

Target group: Practitioners, consultants, engineers, deciders responsible for / supporting (energy) management of building infrastructure, computing centres, production.

Requirements: Basic knowledge about mathematics, IT, natural science, engineering or relevant professional experience.

Course dates: October 27-29, 2015 + 1 day online learning

Course fee: 3350 €

Location: Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany

Mastering Variant Complexity

The course Mastering Variant Complexity addresses a key challenge of embedded systems engineering these days: providing and maintaining customized solution variants of increasing complexity, while keeping the pace of the market in terms of speed, cost, and quality.

The course provides best practices and proven industrial strength approaches to enhance variant and complexity management competencies in high-tech ICT-intensive companies.

This course discusses best practices and proven industrial strength approaches from the areas of complexity management, strategic reuse, and platform and product line engineering, along with illustrating examples from the smart energy domain.

Target group: The target participants are professionals working as product (line) managers, innovation managers, portfolio managers, marketing professionals, system architects, and embedded system and software engineers. The course delivers learning content which supports the participants in addressing the variant complexity challenges in their daily work.

Requirements: Basic knowledge about mathematics, IT, natural science, engineering or relevant professional experience.

Course dates: 08.-09.05.2017 (f2f part) in Kaiserslautern + 1 day online, 06.-07.11.2017 (f2f part in Munich) + 1 day online  

Registration deadline: Course 1: 21.04.2017, course 2: 20.10.2017

Course fee: 1200 €

Location: Fraunhofer Institute for Experimental Software Engineering IESE, Kaiserslautern, Germany

Semantic Business Rules and Decision Models

Business Rule Management Systems (BRMS) are IT systems to externalize business logic in terms of business rules and to provide a facility for business rule and decision management.

Business rules describe the operations and constraints that apply to an organization in achieving its business goals, e.g. for operational, tactical and strategic business actions and decisions. They provide a declarative description of business policies, procedures and principles, which are then automated in the underlying IT systems.

This course is for business practitioners and IT professionals. It addresses the understanding of technologies, standards, and tools for automated business rules and decision management, with a focus on using semantic technologies for their automation.

Target group: Business People, Practitioners, IT Professionals, Managers and Decision Makers  

Course dates: 31 March 2017  (27-30 March time for online course + 31 March f2f)

Course fee: 1900 €

Location: Fraunhofer FOKUS, Kaiserin-Augusta-Alle 31, 10589 Berlin, Germany

Architecting for Design - Designing Adaptable Cyber-physical systems

One of the key characteristics of current and future Cyber-Physical-Systems is inevitable change. Specific customer needs, technology changes, and closer collaboration between organizations in so-called ecosystems are typical change drivers these days. Organizations need to plan, support, and manage the changes in a suitable manner to increase their business value and to their innovation speed. One key enabler to this end is the system and software architecture.

A changeable architecture is not a free lunch. Deliberate design decisions, well communicated and governed by respected architects are essential. With this course we want to teach and train you on how to design cyber-physical systems' architectures, which support the necessary changes in an adequate manner. At the heart of the course are best practices and proven industrial strength approaches to support change in Cyber-Physical-Systems. Among them are runtime configuration and adaptation support, as well as modular product structures, and building kits for instance.


Target group: Current and future architects of Cyber-Physical Systems on system and software level, product and project managers as well as requirements engineers, developers, quality assurance experts, and integrators

Course dates: 17.-18.05.2016 (f2f part) + 1,5 days online part two weeks before and 0,5 days after the f2f part / 04.-05.10.2016 (f2f part) + 1,5 days online part two weeks before and 0,5 days after the f2f part  

Course fee: 1200 €

Location: Fraunhofer IESE Kaiserlautern (course 1), Fraunhofer Headquarter Munich (course 2)

Strategic Open Government Data provision

This course addresses the organization and technical understanding of open data, a strategic approach to data management and provides useful tools for practical implementation and thus aims at the promotion of knowledge on appropriate organizational and strategic requirements in public administration fostering publication of public data resources as open data and linked data. It is geared towards middle management in public sector bodies without any or much prior knowledge on open data provision.

Target group: Public sector managers and executives, IT and organizational development professionals in public sector bodies, Pracitioners in the different topical domains of the public sector

Course fee:1900 €

Location: Berlin