Engineering

This course offers an introduction to materials technology. Topics include: ferrous alloys; non-ferrous alloys; fundamentals of forming by casting; casting techniques; fundamentals of forming by plastic deformation; deformation techniques; powder technology; processing of ceramics; processing of polymers; processing of polymer matrix composites; fracture; fatigue; creep; friction and wear; corrosion of metals; welding; adhesives; surface treatments and coatings; non-destructive testing.

This course focuses on mathematical principles, observation methodologies, and calculation techniques essential for implementing various spatial technologies in both Earth and space observation endeavors. Specifically, it focuses on the utilization of GPS, GLONASS, and GALILEO Satellite Navigation Systems.

This course delves into the fundamental principles of Celestial Mechanics and current topics in Astrodynamics, using mathematical tools to analyze problems and apply strategies and techniques to achieve results.

This course offers a study of industrial robotics including morphology and robotic technologies, kinematic control, dynamic modeling, structure of the control system, programming of industrial robots, and industrial robotic applications.

The course starts with introductory lectures about the most important topics related to space technologies. In parallel, practical training is given to develop specific engineering skills in mechanics, electronics, and programming that is necessary to conduct the hands-on project. A CanSat is a small satellite in shape of a commercial beverage can that performs several measuring tasks. In this course, a CanSat is designed, built and tested in the field during a rocket launch. Therefore, all basics of topics related to exciting area of space technologies is imparted and practical skills for the development of a CanSat are trained. The theoretical units are supplemented by practical exercises. During project work units, parts of a CanSat are designed with supervision in smaller groups. During a launch campaign, the CanSat is tested under real conditions.Parts of the CanSat are developed in intensely supervised small groups. The course is supplemented by an excursion to space related companies and institutions in Berlin, during which the participants gain insight into facilities used for the development of satellites. Participants should have a general understanding of engineering.

This course offers an introduction to the tools for the estimation, detection, and prediction of discrete-time random signals. It is divided into three units: stochastic processes; estimation theory; detection theory.

Aviation is a rapidly expanding sector in developing economies like those in Asia. Aeronautical engineering is the foundation of aviation as a mode of transport. Together with space flight, aeronautics has been a driving force behind many of the modern technological development in the past century or so. This course aims to provide students with a solid foundation in the most important aspects of aircraft design and operation. The underlying science is common with many technological branches in general mechanical engineering, but it also has distinctive features that make aeronautics more challenging and interesting. For example, flow around aircraft is compressible with possible presence of shock waves while ordinary flows in engineering is low-speed and incompressible. The engine has similar thermodynamic cycles like that found in a gas turbine power plant but its main output is not derived from the turbine. Materials used in aircraft design must have the lowest possible weight for a given strength requirement. Specifically, the course will cover the following topics: aerodynamics and propulsion, materials and structures; safety and some aspects of operation and maintenance of aircrafts. Topics include: history of aeronautical science; wing aerodynamics; propulsion; flight mechanics; systems and airframe structures; fatigue-crack growth; crack monitoring; damage tolerance; metallic materials; composites; fibre-reinforced laminates; high-temperature alloys for turbines; creep damage.

This course starts with a historical overview of computer simulations in science and engineering and an introduction to the challenges and opportunities in connecting simulations, theory, and experiments. Students address the core concepts essential to understand and interpret computer simulations in science and engineering, including the fundamentals of statistical physics, interaction potentials, Monte Carlo simulations, equation-based simulations, and the concept of coarse-grained simulations and enhanced sampling techniques. 

From the Internet to the WWW, from wireless communication networks, large power networks to global transportation networks, from the brain in organisms, various metabolic networks to various economic, political, and social relationship networks, people's socioeconomic activities and daily life all take place in a world full of complex networks. Complex network theory studies the commonalities between various complex networks that appear to be different from each other and the universal methods for dealing with them. Since the end of the 20th century, complex network research has permeated many different fields from mathematics and physics to life sciences and information engineering. The scientific understanding of the quantitative and qualitative characteristics of complex networks has become an extremely important challenge in scientific research in the network era. This course will be taught in English, and strives to introduce the basic concepts, basic theories, basic algorithms and practical applications of network science represented by complex network theory in a way that science and engineering undergraduates can understand, including some of the lecturer's own research. The main purpose is to enable students to understand the basic system of complex network systems through the study of this course, master the basic concepts of complex network theory, and cultivate students' interest in network science.

This course introduces the concept "Design for X" (DfX), which is well established within product development. In any product development project, it is essential to ensure that the product satisfies the functions it is designed for. But many other issues are caused by, or affect the properties of the product: is the product reliable, sustainable, is it easy to assemble, and inexpensive to manufacture? In this course, the following "design for Xs" are included: design for manufacturing and assembly (DFMA), design for additive manufacturing (DFAM), robust design, design for environment (DFE), and design to cost (DtC).