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PDF d syndrome for specific without video to been invalid helplessness. Your g sent a book that this divestment could already set. The students work together in small groups in the course of the laboratory experiments on subject-specific tasks. The results are presented and documented in a professional manner.
The students are able to obtain additional information from given literature sources and set the content in context with the lecture. The students obtain the ability to predict the behavior of electromagnetic components and to develop solutions in order to achieve a desired functionality. Both of these tasks can be done by the students in a self-contained way.
Modal expansions of rectangular waveguide and at waveguide transitions, field expansions in free space. Stationary formulas, Rayleigh-Ritz procedure, reaction concept. Students can explain the fundamental mathematical and physical relations of quantum optical phenomena such as absorption, stimulated and spontanous emission.
They can describe material properties as well as technical solutions. They can give an overview on quantum optical components in technical applications. Students can generate models and derive mathematical descriptions in relation to quantum optical phenomena and processes. Students know current research topics in the fields of electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems.
They are able to use professional language in discussions. They are able to explain research topics. Students are able to gain knowledge about a new field by themselves. In order to do that they make use of their existing knowledge and try to connect it with the topics of the new field.
They close their knowledge gaps by discussing with research assistants and by their own literature and internet search. They are capable of summarizing and presenting scientific publications. In cooperation with research assistants students are able to familiarize themselves with and discuss with others current research topics. They are capable of drafting, presenting, and explaining summaries of these topics in English in front of a professional audience. Students are capable of gathering information from subject related, professional publications and relate that information to the context of the seminar.
They are able to find on their own new sources in the Internet. They are able to make a connection with the subject of their chosen specialization. Current research topics in the fields electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems. Students can explain the most important facts and relationships of a specific topic from the field of high-frequency technology.
Students are able to compile a specified topic from the field of high-frequency technology and to give a clear, structured and comprehensible presentation of the subject. Students are able to adapt their presentation with respect to content, detailedness, and presentation style to the composition and previous knowledge of the audience.
They can answer questions from the audience in a curt and precise manner. Students are able to autonomously carry out a literature research concerning a given topic. They can independently evaluate the material. They can self-reliantly decide which parts of the material should be included in the presentation. Students know current research topics oft institutes engaged in their specialization.
They can name the fundamental scientific methods used for doing related reserach. Strudents are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. Students are able to discuss their work progress with research assistants of the supervising institute.
They are capable of presenting their results in front of a professional audience. Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. Students are able to explain the fundamental principles, inter-dependencies, and methods of signal and power integrity of electronic systems. They are able to relate signal and power integrity to the context of interference-free design of such systems, i. They are capable of explaining the basic behavior of signals and power supply in typical packages and interconnects.
They are able to propose and describe problem solving strategies for signal and power integrity issues. They are capable of giving an overview over measurement and simulation methods for characterization of signal and power integrity in electrical engineering practice. Students are able to apply a series of modeling methods for characterization of electromagnetic field behavior in packages and interconnect structure of electronic systems.
They are able to determine the most important effects that these models are predicting in terms of signal and power integrity. The can evaluate their problem solving strategies against each other. They can communicate problems and solutions in the field of signal integrity and power supply of interconnect and packages in English.
The students are capable of explaining the functionality of frequency multipliers in detail. They can present theories, concepts, and reasonable assumptions for description and synthesis. They are able to apply indepth knowledge on semiconductor physics of selected microwave devices to the frequency multiplier. Students can describe microwave measurement methods.
They are able to design and realize linear and nonlinear microwave circuits with help of modern software tools, taking application and manufacturing requirements into account. They are able to select and apply suitable measurement techniques. They are capable of assessing and reflecting their contribution to the overall project satellite receiver. They are able to communicate with different groups and with a supervisor, and to handle feedback on their own performance constructively.
They can link and deepen their knowledge of other courses and translate their knowledge to practical situation. They can assess their abilities and results of their work and evaluate the necessity of support. Harmonic balance, noise in nonlinear circuits; Step Recovery Diode, FET; circuit synthesis, large signal, noise, and stability analysis.
Stability and stability circles, gain and gain circles, noise, noise figure and noise figure circles. Measurement techniques Network analyzer, Spectrum analyzer, Frequency generator. Circuit and system design, realization, and characterization. On the one hand, a series of technical modules foster an in-depth understanding of modern medical technology, particularly with respect to electrical engineering. On the other hand, modules on medical topics provide insight into clinical problems, environments and terminology.
Students will be able to design, implement, and evaluate methods, algorithms and systems in the context of clinical scenarios. Hence, competencies developed in this specialization at the interface between electrical engineering and medicine prepare students for positions in industry and academia. The students can explain kinematics and tracking systems in clinical contexts and illustrate systems and their components in detail.
The students are able to design and evaluate navigation systems and robotic systems for medical applications. The students discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work. The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner. Robot Modeling and Control, Troccaz: Medical Robotics, Further literature will be given in the lecture.
The students recognize the complexity of medical technology and can explain, which methods are appropriate to solve a problem at hand. The students can define project aims and scope and organize the project as team work. They can present their results in an appropriate manner. The students take responsibility for their tasks and coordinate their individual work with other group members.
They deliver their work on time. They independently acquire additional knowledge by doing a specific literature research. The students can recognize the relationship between given anatomical facts and the development of some common diseases; they can explain the relevance of structures and their functions in the context of widespread diseases. The students can participate in current discussions in biomedical research and medicine on a professional level.
The students are able to access anatomical knowledge by themselves, can participate in conversations on the topic and acquire the relevant knowledge themselves. Auflage, Thieme Verlag Stuttgart, The students can distinguish different types of currently used equipment with respect to its use in radiation therapy. The students can explain treatment plans used in radiation therapy in interdisciplinary contexts e.
The students can describe the patients' passage from their initial admittance through to follow-up care. The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques CT, MRT, US. The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques.
The students can choose the right treatment method depending on the patient's clinical history and needs. The student can draw the right conclusions based on the images' diagnostic findings or the error protocol. The students can distinguish curative and palliative situations and motivate why they came to that conclusion.
The students can develop adequate therapy concepts and relate it to the radiation biological aspects. The students can distinguish different kinds of radiation, can choose the best one depending on the situation location of the tumor and choose the energy needed in that situation irradiation planning. The student can assess what an individual psychosocial service should look like e.
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The students can suggest solutions for repairs of imaging instrumentation after having done error analyses. The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology. The students are aware of the special, often fear-dominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately.
The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves. It will be distinguished between the two arms of diagnostic Prof. Thomas Vestring and therapeutic Prof. Ulrich Carl use of X-rays.
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Both arms depend on special big units, which determine a predefined sequence in their respective departments. Auflage — Georg Thieme Verlag - erschienen The students can find solutions to problems in the field of physiology, both analytical and metrological. The students can derive answers to questions arising in the course and other physiological areas, using technical literature, by themselves. The lecture will introduce into the fascinating area of medical technology with the engineering point of view.
Fundamentals in human physiology will be similarly introduced like knowledge in control theory. Internal control loops of the human body will be discussed in the same way like the design of external closed loop system fo example in for anesthesia control. The handling of PID controllers and modern controller like predictive controller or fuzzy controller or neural networks will be illustrated. The operation of simple equivalent circuits will be discussed.
Students can develop solutions to specific problems in small groups and present their results e. Students are able to find necessary literature and to set it into the context of the lecture. They are able to continuously evaluate their knowledge and to take control of their learning process. They can combine knowledge from different courses to form a consistent whole. The students are able to analyze and solve clinical treatment planning and decision support problems using methods for search, optimization, and planning.
They are able to explain methods for classification and their respective advantages and disadvantages in clinical contexts. The students can give reasons for selecting and adapting methods for classification, regression, and prediction. They can assess the methods based on actual patient data and evaluate the implemented methods. Clinical Decision Support Systems: Theory and Practice, Greenes: The Road Ahead, Further literature will be given in the lecture. System theory of one-dimensional signals convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems , linear algebra Eigenvalue decomposition, SVD , basic stochastics and statistics expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters , basics of Matlab, basics in optics.
Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems. Students are able to assess different solution approaches in multidimensional decision-making areas. Basics in physics, chemistry, mechanics and semiconductor technology. Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience. Introduction to microsystem technology, Wiley, Principles of Magnetic Resonance Imaging ; Z.
The students can develop understanding of topics from the course, using technical literature, by themselves. Students are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Neuro- und Sinnesphysiologie Springer-Lehrbuch Paper back , p. Edition, currently online only Russell K.
In this specialization students have the opportunity to select courses that focus on the areas of mathematical modeling, numerical techniques, computer aided engineering CAE and state-of- the-art simulation tools with application in electrical engineering.
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Students will learn to derive, implement, validate, and optimize numerical algorithms. Thereby students will obtain unique competencies at the interface between mathematics, computer science, and electrical engineering that are required for corresponding positions in industry and academia. The students know about the most important and most common simulation and design methods used in microsystem design. The scientific background of finite element methods and the basic theory of these methods are known.
Students are able to apply simulation methods and commercial simulators in a goal oriented approach to complex design tasks. Students know to apply the theory in order achieve estimates of expected accuracy and can judge and verify the correctness of results. Students are able to develop a design approach even if only incomplete information about material data or constraints are available.
Student can make use of approximate and reduced order models in a preliminary design stage or a system simulation. Students can develop and explain their solution approach and subdivide the design task to subproblems which are solved separately by group members. Students are able to solve specific problems in groups and to present their results appropriately e. Students can explain the relation between hard- and software aspects for the design of algorithms.
The students can design and use electronic circuits digital with some analogue parts. Furthermore they are able to implement solutions of some tasks by way of assembler programming on these circuits. Groups of two students work on special projects. The students have the skill to separate the project into smaller parts and to present the achieved results in an appropriate short talk.
Students are able to work together in heterogeneously composed teams i. The students are able to explain the basic theory and methods of network algorithms and in particular their data structures. They are able to analyze the computational behavior and computing time of linear programming algorithms as well network algorithms. Moreover the students can distinguish between efficiently solvable and NP-hard problems. The students are able to analyze complex tasks and can determine possibilities to transform them into networking algorithms. In particular they can efficiently implement basic algorithms and data structures of LP- and network algorithms and identify possible weaknesses.
They are able to distinguish between different efficient data structures and are able to use them appropriately. The students have the skills to solve problems together in small groups and to present the achieved results in an appropriate manner. The students are able to retrieve necessary informations from the given literature and to combine them with the topics of the lecture. Throughout the lecture they can check their abilities and knowledge on the basis of given exercises and test questions providing an aid to optimize their learning process.
Data Structures and Network Algorithms. This specialization offers a wide range of topics with respect to various concepts of telecommunications, wireless and wired communication systems as well as methods of digital signal processing. Students are able to understand the characteristics of transmission channels and principles of wireless systems in detail.
Moreover, they acquire a profound knowledge about fundamentals, structures and modelling of communication networks. In addition, know-how on digital speech, audio and image processing is provided. As a result, the students will have the skills to analyze, design and optimize all aspects of a communication system. Linear algebra including PCA, unitary transforms , stochastics and statistics, binary arithmetics. Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples.
On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas. Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt.
Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields. Pattern Classification, Wiley, Bishop: Pattern Recognition and Machine Learning, Springer The PrBL course part will be performed in small groups of students.
Topics are from the field of wireless sensor networks and are loosely related to the lecture contents. Project descriptions and goals are provided but have to be solved by the students as follow:. Throughout the semester, there will be meetings with the supervisor on a regular basis weekly or biweekly. Details about the topics and course organization will be provided in the first lecture.
Please note that the number of participants is limited due to the available capacity rooms, equipment, supervisors. Using the acquired knowledge, students are able to understand the design of current and future wireless systems. Moreover, given certain constraints, they can choose appropriate parameter settings of communication systems. Students are also able to assess the suitability of technical concepts for a given application. The lecture deals with technical principles and related concepts of mobile communications.
In the lecture, the transmission medium, i. The characteristics and the mathematical descriptions of the radio channel are discussed in detail. Moreover, the different uses of multiple antennas at the transmitter and receiver, known as MIMO techniques, are described. Besides these physical layer topics, concepts of multiple access schemes in a cellular network are outlined. Second Edition, Wiley, Students are able to explain the necessary stochastics, the discrete event simulation technology and modelling of networks for performance evaluation.
Students are able to apply the method of simulation for performance evaluation to different, also not practiced, problems of communication networks. The students can analyse the obtained results and explain the effects observed in the network. They are able to question their own results.
Students are able to acquire expert knowledge in groups, present the results, and discuss solution approaches and results. They are able to work out solutions for new problems in small teams. Students are able to transfer independently and in discussion with others the acquired method and expert knowledge to new problems. They can identify missing knowledge and acquire this knowledge independently. In the course necessary basic stochastics and the discrete event simulation are introduced.
Also simulation models for communication networks, for example, traffic models, mobility models and radio channel models are presented in the lecture. Students work with a simulation tool, where they can directly try out the acquired skills, algorithms and models. At the end of the course increasingly complex networks and protocols are considered and their performance is determined by simulation. The relevance of embedded systems increases from year to year. Within such systems, the amount of software to be executed on embedded processors grows continuously due to its lower costs and higher flexibility.
Because of the particular application areas of embedded systems, highly optimized and application-specific processors are deployed. Such highly specialized processors impose high demands on compilers which have to generate code of highest quality. After the successful attendance of this course, the students are able.
The high demands on compilers for embedded systems make effective code optimizations mandatory. The students learn in particular,. Since compilers for embedded systems often have to optimize for multiple objectives e. After successful completion of the course, students shall be able to translate high-level program code into machine code. They will be enabled to assess which kind of code optimization should be applied most effectively at which abstraction level e.
While attending the labs, the students will learn to implement a fully functional compiler including optimizations. Students are able to solve similar problems alone or in a group and to present the results accordingly. Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes. Students are able to describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples.
Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks. Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results.
They are able to discuss and critically analyse the solutions. Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently. Students can jointly elaborate tasks in small groups and present their results in an adequate fashion. Students are able to extract necessary information from given literature sources and put it into the perspective of the lecture. They can continuously check their level of expertise with the help of accompanying measures such as online tests, clicker questions, exercise tasks and, based on that, to steer their learning process accordingly.
They can relate their acquired knowledge to topics of other lectures, e. In this course, selected "hot" topics of modern wireless systems will be covererd. For that purpose, students work in groups to elaborate a given subject. The results will be presented in a poster session towards the end of the semester. Possible topics can include various system concepts and related technical principles, such as:. The lecture gives an overview of contemporary wireless communication concepts and related techniques from a system point of view.
For that purpose, different systems, ranging from Wireless Personal to Wide Area Networks, are covered, mainly discussing the physical and data link layer. Systems under consideration include: Andrews, Arunabha Ghosh, Rias Muhamed: Students are able to describe methods for planning, optimisation and performance evaluation of communication networks. Students are able to solve typical planning and optimisation tasks for communication networks. Furthermore they are able to evaluate the network performance using queuing theory. Students are able to apply independently what they have learned to other and new problems.
They can present their results in front of experts and discuss them. Students are able to acquire the necessary expert knowledge to understand the functionality and performance of new communication networks independently. Killat, Entwurf und Analyse von Kommunikationsnetzen, Springer further literature announced in the lecture. Correspondence of continuous-time and discrete-time signals, sampling, sampling theorem. Characterization of digital filters using pole-zero plots, important properties of digital filters. The students will be able to apply methods and techniques from audio signal processing in the fields of mobile and internet communication.
They can rely on elementary algorithms of audio signal processing in form of Matlab code and interactive JAVA applets. They can study parameter modifications and evaluate the influence on human perception and technical applications in a variety of applications beyond audio signal processing. Students can perform measurements in time and frequency domain in order to give objective and subjective quality measures with respect to the methods and applications.
The students can work in small groups to study special tasks and problems and will be enforced to present their results with adequate methods during the exercise. The students will be able to retrieve information out of the relevant literature in the field and putt hem into the context of the lecture. They can relate their gathered knowledge and relate them to other lectures signals and systems, digital communication systems, image and video processing, and pattern recognition. They will be prepared to understand and communicate problems and effects in the field audio signal processing.
The students of this specialization are introduced into the design of CMOS integrated circuits and the most important manufacturing steps. They gain knowledge and competences regarding the software tools for simulation and of their structure by performing classroom projects. They are able of giving an overview over measurement and simulation methods for the characterization of Electromagnetic Compatibility in electrical engineering practice.
Students are able to apply a series of modeling methods for the Electromagnetic Compatibility of typical electric and electronic systems. They are able to determine the most important effects that these models are predicting in terms of Electromagnetic Compatibility. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice.
They can evaluate their problem solving strategies against each other. Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English, during laboratory work and exercises, e. Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures e.
Theoretical Electrical Engineering and Communication Theory. They can communicate problems and solutions in the field of Electromagnetic Compatibility in english language. Basics in physics, chemistry, material science and semiconductor devices. Doping energy band diagram, doping, doping by alloying, doping by diffusion: Structuring techniques subtractive methods, photolithography: Process integration CMOS process, bipolar process. Assembly and packaging technology hierarchy of integration, packages, chip-on-board, chip assembly, electrical contact: Mikroelektroniktechnologie, Verlag Technik Berlin.
Students are able to explain the fundamental principles, inter-dependencies, and methods of signal and power integrity of electronic systems. They are able to relate signal and power integrity to the context of interference-free design of such systems, i. They are capable of explaining the basic behavior of signals and power supply in typical packages and interconnects. They are able to propose and describe problem solving strategies for signal and power integrity issues. They are capable of giving an overview over measurement and simulation methods for characterization of signal and power integrity in electrical engineering practice.
Students are able to apply a series of modeling methods for characterization of electromagnetic field behavior in packages and interconnect structure of electronic systems. They are able to determine the most important effects that these models are predicting in terms of signal and power integrity. The can evaluate their problem solving strategies against each other.
They are able to present their results effectively in English e. They can communicate problems and solutions in the field of signal integrity and power supply of interconnect and packages in English. Students can explain the fundamental mathematical and physical relations of quantum optical phenomena such as absorption, stimulated and spontanous emission. They can describe material properties as well as technical solutions. They can give an overview on quantum optical components in technical applications. Students can generate models and derive mathematical descriptions in relation to quantum optical phenomena and processes.
At least 60 credit points have to be achieved in study programme. The examinations board decides on exceptions. Content Microelectronics, or better named nanoelectronics, because the minimum structure size of state-of-the-art integrated electronic circuits are in the range of 20 nm and below, is the base of the products that significantly influence the daily life of people almost anywhere on earth.
Examples are personal computers and smartphones. Both of them open up new possibilities of communication and give access to almost unlimited sources of information, especially when those devices are connected to the world wide web. Another example are medical diagnostic tools for computer tomography or nuclear resonance tomography or intelligent medical implants as all these systems are based on the high computational performance and high data communication efficiency provided by advanced nanoelectronics.
Learning target Knowledge The students understand the basic physical principles of microelectronic devices and functional block of microsystems. Furthermore, they have solid knowledge regarding fabrication technologies, so that they can explain them in detail. They have gained solid knowledge in selected fields based on a broad theoretical and methodical fundament. The students possess in-depth knowledge of interdisciplinary relationships.
They have the required background knowledge in order to position their professional subjects by appropriate means in the scientific and social environment. Skills The students are able to apply computational methods for quantitative analysis of design parameters and for development of innovative systems for microelectronics and microsystems. Autonomy The students can pervade in an effectively and self-dependently organized way special areas of their professional fields using scientific methods.
They are able to present their knowledge by appropriate media techniques or to describe it by documents with reasonable lengths. The students are able to identify the need for additional information and to develop a strategy for self-dependent enhancement of their knowledge. The students choose one main subject out of the following two options: The students have to take for their main subjects moduls totaling 18 CPs 1. Master thesis with 30 CP 4. Literature Yuan Taur, Tak H.
Ayers, Digital Integrated Circuits: Jaeger and Travis N. Mikrosystementwurf, Springer M. Hoc Khiem Trieu Language EN Cycle WiSe Content Introduction historical view, scientific and economic relevance, scaling laws Semiconductor Technology Basics, Lithography wafer fabrication, photolithography, improving resolution, next-generation lithography, nano-imprinting, molecular imprinting Deposition Techniques thermal oxidation, epitaxy, electroplating, PVD techniques: Seebeck effect and thermopile; modulating sensors: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, T.
Mikrosystementwurf, Springer S. Microsystem Design, Kluwer Specialization Communication and Signal Processing. Students of the specialization Communication and Signal Processing learn both physical and technical basics of state-of-the-art wired and wireless communication systems and the hardware realization of those systems. They can deepen their knowledge towards core areas such as systems for audio or video signal processing. The students understand the fundamental concepts of those systems and can identify their limitations. Based on this knowledge they are able to determine possible improvements and to implement them.
Literature announced during lecture. Fundamentals of Wireless Communication. Cambridge, Bernard Sklar: Multiple View Geometry in Computer Vision. Digital filters and signal processing. Reliability Availability Maintainability Safety Security This makes dependability a core aspect that has to be considered early in system design, no matter whether software, embedded systems or full scale cyber-physical systems are considered. Contents The module introduces the basic concepts for the design and the analysis of dependable systems.
Design examples for getting practical hands-on-experience in dependable design techniques. The module focuses towards embedded systems. The following topics are covered: Project descriptions and goals are provided but have to be solved by the students as follow: Group meeting, creation of working plan and milestones kick-off presentation during lecture free working poster creation and presentation Throughout the semester, there will be meetings with the supervisor on a regular basis weekly or biweekly.
Literature Will be provided individually. Advanced pipelining concepts dynamic scheduling, branch prediction Literature D. The Principles of Computer Hardware. Auflage, Oxford University Press, Students of the specialization Microelectronics Complements expand their knowledge towards the application of microelectronics and microsystems for medical use, the processing of digital signals, the development and design of highly complex integrated systems and networks for optical communication.
Thus, they strengthen their knowledge by analyzing practical applications and link it up with the requirements of technical realizations. Matthias Kuhl Language EN Cycle WiSe Content Market for medical instruments Membrane potential, action potential, sodium-potassium pump Information transfer by the central nervous system Interface tissue - electrode Amplifiers for medical applications, analog-digital converters Examples for electronic implants Artificial eye, cochlea implant Literature Kim E.
Barman, Scott Boitano and Heddwen L. Auflage, Springer, Berlin Scientific articles and papers. Silizium-Halbleitertechnologie, Teubner Verlag H. Mikroelektroniktechnologie, Verlag Technik Berlin S. Students are able to find their way around selected special areas of management within the scope of business management. Students are able to explain basic theories, categories, and models in selected special areas of business management. Students are able to interrelate technical and management knowledge. Students are able to apply basic methods in selected areas of business management.
Students are able to explain and give reasons for decision proposals on practical issues in areas of business management. Students are capable of acquiring necessary knowledge independently by means of research and preparation of material. Information regarding lectures and courses can be found in the corresponding module handbook published separately.
The Learning Architecture consists of a cross-disciplinarily study offering. Teaching and Learning Arrangements provide for students, separated into B. Fields of Teaching are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, communication studies, migration studies and sustainability research, and from engineering didactics. Professional Competence Skills In selected sub-areas students can apply basic and specific methods of the said scientific disciplines, aquestion a specific technical phenomena, models, theories from the viewpoint of another, aforementioned specialist discipline, to handle simple and advanced questions in aforementioned scientific disciplines in a sucsessful manner, justify their decisions on forms of organization and application in practical questions in contexts that go beyond the technical relationship to the subject.
Students are able to explain the basic steps of processing of very small MOS devices. Students can exemplify the functionality of volatile and non-volatile memories und give their specifications.
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Students can describe the limitations of advanced MOS technologies. Students can explain measurement methods for MOS quality control. Students can quantify the current-voltage-behavior of very small MOS transistors and list possible applications. Students can describe larger electronic systems by their functional blocks. Students can name the existing options for the specific applications and select the most appropriate ones. Students can team up with one or several partners who may have different professional backgrounds Students are able to work by their own or in small groups for solving problems and answer scientific questions.
Students are able to assess their knowledge in a realistic manner. The students are able to draw scenarios for estimation of the impact of advanced mobile electronics on the future lifestyle of the society. Compulsory Bonus Form Description Yes. Subject theoretical and practical work. Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory International Management and Engineering: Elective Compulsory Mechanical Engineering and Management: Elective Compulsory Microelectronics and Microsystems: Basic knowledge of solid-state physics and mathematics.
Knowledge in fundamentals of electrical engineering and electrical networks. Students can present and discuss current-voltage relationships and small-signal equivalent circuits of these devices. Students can explain the physics and current-voltage behavior transistors based on charged carrier flow. Students are able to explain the basic concepts for static and dynamic logic gates for integrated circuits Students can exemplify approaches for low power consumption on the device and circuit level Students can describe the potential and limitations of analytical expression for device and circuit analysis.
Students can explain characterization techniques for MOS devices. Students can qualitatively construct energy band diagrams of the devices for varying applied voltages. Students are able to qualitatively determine electric field, carrier concentrations, and charge flow from energy band diagrams. Students can understand scientific publications from the field of semiconductor devices. Students can calculate the dimensions of MOS devices in dependence of the circuits properties Students can design complex electronic circuits and anticipate possible problems.
Students know procedure for optimization regarding high performance and low power consumption. Students can team up with other experts in the field to work out innovative solutions. Students are able to work by their own or in small groups for solving problems and answer scientific questions. Students have the ability to critically question the value of their contributions to working groups. Students are able to define their personal approaches to solve challenging problems. Compulsory Bonus Form Description No. Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Specialisation Implants and Endoprostheses: Specialisation Medical Technology and Control Theory: Specialisation Management and Business Administration: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Object and goal of MEMS Scaling Rules Lithography Film deposition Structuring and etching Energy conversion and force generation Electromagnetic Actuators Reluctance motors Piezoelectric actuators, bi-metal-actuator Transducer principles Signal detection and signal processing Mechanical and physical sensors Acceleration sensor, pressure sensor Sensor arrays System integration Yield, test and reliability.
Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Elective Compulsory Computational Science and Engineering: Introduction historical view, scientific and economic relevance, scaling laws Semiconductor Technology Basics, Lithography wafer fabrication, photolithography, improving resolution, next-generation lithography, nano-imprinting, molecular imprinting Deposition Techniques thermal oxidation, epitaxy, electroplating, PVD techniques: Basic knowledge in electrical enginnering, physics, semiconductor devices and mathematics at Bachelor of Science level.
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As this modul can be chosen from the modul catalogue of the department E, the competence to be acquired is acccording to the chosen subject. Students can explain the most important facts and relationships of a specific topic from the field of semiconductors. Students are able to adapt their presentation with respect to content, detailedness, and presentation style to the composition and previous knowledge of the audience. They can answer questions from the audience in a curt and precise manner. Students are able to autonomously carry out a literature research concerning a given topic.