Программа обучения Communications and Signal Processing

Программа обучения "Communications and Signal Processing" в Technische Universität Ilmenau

Communications and Signal Processing

The two-year program starts with some basic lectures**, bringing students from all over the world to a common level of knowledge. With this background, students are well prepared for the in-depth lectures of the second and third semesters. Students are motivated to work on the tasks discussed in the lectures at home. Homeworks and student research projects encourage academic work and offer research and development opportunities as well as the chance to work in groups. In the projects, students have the opportunity to apply their knowledge of mathematics, natural sciences and engineering disciplines and to learn working methods, skills and modern engineering tools, which are important for their professional career.

Общая Информация по Программе обучения "Communications and Signal Processing"

  • Уровень: Магистратура
  • Диплом: Master of Science (M.Sc.)
  • Язык обучения: Английский
  • Начало обучения: Зимний семестр
  • Срок обучения: 4 семестров
  • Форма обучения: Полная
  • Учебные кредиты: 120 ECTS
  • Стоимость: € 0 / Семестр
  • Семестровый взнос: € 129.88 / семестр
  • Правила приема: На основе конкурса
  • Минимальный уровень английского: C1

Карьерные перспективы по завершению программы обучения "Communications and Signal Processing"

Fields of work

  • Research and development for modern communication systems
  • Planning of mobile communication networks
  • Improving performance of communication systems
  • Development and verification of algorithms
  • Verification of theoretic results via measurements
  • System design including antennas, radio frequency electronics, decoding algorithms and applications

Учебный план программы обучения "Communications and Signal Processing"

The CSP program focuses on fundamental concepts, e. g., information theory, coding, modulation, (convex) optimization techniques, compressed sensing, tensor-based signal processing, multi-modal data fusion, machine learning, data analytics, parameter estimation, array signal processing, adaptive filters and many applications that lead to rewarding career opportunities, e.g., in data science, future systems for data transmission, channel modeling, antenna design, connected/autonomous vehicles, radar/sonar, wearable technologies, audio coding, hearing aids, multimedia systems, biomedical signal processing, brain-computer interfaces, improved medical scans, biometric security, big data, stock quote analysis and more.

Content of study

  • Computer Science and Communication Systems - 19 %
  • Communiacation Engineering - 16 %
  • Signal Processing - 13 %
  • High Frequency and Measurement Engineering - 9 %
  • Media Technologies - 9 %
  • Non-technical courses - 3 %
  • Research projects and Thesis
  • Учебный план / модули: https://www.tu-ilmenau.de/modultafeln/CommunicationsandSignalProcessing/Master/2021/
    https://www.tu-ilmenau.de/fileadmin/Bereiche/Studium/VorDemStudium/05_Dokumente_zum_Studiengang/Modulhandbuecher_Master/MA_CSP_2021_2023WS.pdf
    https://www.tu-ilmenau.de/fileadmin/Bereiche/Studium/VorDemStudium/05_Dokumente_zum_Studiengang/M-PO-STO-BB-CSP-2021_eng.pdf
  • Факультет

    Department of Electrical Engineering and Information Technology
    Technische Universität Ilmenau

    The department of Electrical Engineering and Information Technology…

    • combines 27 departments from the fields of Information Technology, Microelectronics and Nanoelectronics, Electrical Power and Control Engineering, Media Technology and Materials Engineering,
    • offers 3 bachelor programs and 6 master programs,
    • stands for nationally and internationally recognized basic and applied science research work in the comprehensive fields of Electrical Engineering and Information Technology, Media Technology and Materials Engineering.

    We educate highly skilled and responsible engineers who profit from an excellent reputation and exciting job offerings. Within our programs we emphasize a diversified knowledge and flexible, up-to-date specializations. We encourage our students to participate in current research at an early stage and assure them a personal und comprehensive coaching from the very beginning.

    Методика оценки заявок

    The Master's program is based on a first professional qualification with knowledge in the following fields:

    • Technical Mathematics, Calculation, Fourier Analysis,
    • Linear Algebra and Matrix Theory,
    • Fundamentals of Statistics and Calculus of Probability,
    • Fundamentals of Programming and Numerical Methods,
    • Fundamentals of Digital Signal Processing,
    • Fundamentals of Signals and Systems, Communications Engineering,
    • Fundamentals of Information Theory and Coding.

    The first professionally qualifying degree is assessed:

    a.) with 40 points in the following degree programs (with specific and in-depth knowledge of the fields listed above

    • Electrical engineering and information technology with a focus on information and communication technology or
    • Computer and Systems Engineering with a focus on Telecommunications Engineering and Measurement Technology

    b.) with 30 points in the following degree programs (without specific, in-depth knowledge of the fields listed above):

    • Electrical Engineering and Information Technology with a major in Biomedical Engineering / Micro-, Nano-electronics and Electronics Technology / Automation Technology / Power Engineering,
    • Media Technology,
    • Computer and Systems Engineering with a major in Applied Computer Science in Technology and the Environment / Integrated Hardware and Software Systems / Medical Computer Science /Computer Science / Systems Engineering / Multimedia Information and Communication Systems,

    c.) with 20 points in the following degree programs (without specific, in-depth knowledge of the fields listed above):

    • Other engineering or natural science degree programs.

    In addition, the level of qualification is assessed according to the final grade of the degree program:

    • very good = 30 points
    • good = 20 points
    • satisfactory = 10 points.

    Furthermore, there are considered:

    • A final grade of "good" or "very good" in the three subjects or subject groups relevant to the degree program:
      • a) Communications Engineering / Signal- and Systems Engineering / Information Theory,
      • b) Digital Signal Processing / Digital Image Processing and
      • c) a subject that is an essential part of the desired degree program

    and

    • the completion of a closely related and equivalent bachelor's thesis or a thesis with at least the grade "good“

    and

    • proven, qualified and closely related professional experience of at least one year.

    The assessment consists of five points each. A maximum of 20 points can be earned.

    The aptitude test is to be assessed as "Special access requirements met" when the total score is 70 points or more according to the presented documents. The aptitude test is to be assessed as "Special admission requirements not fulfilled" if, based on the presented documents, the total score is less than 60 points.

     

    Записаться на поступление на программу обучения

    Communications and Signal Processing