[SoSe 2026] Modern Signal Processing for Communications

  • The lecture Modern Signal Processing for Communications held by Dr. Renato L.G Cavalcante will start this semester on on Wednesday,  April, 15th 2026. The course takes as presence lecture every Wednesday from 4pm to 6pm (c.t.) in the E - building (Electrical Engineering Institute) room 020 . The last lecture will be on July, 15th 2026.

    Modern Signal Processing for Communications is the first course of the module Modern Signal Processing for Communications. The second course is Mathematical Introduction to Machine Learning which is offered every winter semester.

    After completing both lectures the students will be tested in one oral exam or in two separated oral exams.

    Please ask for an examination date at sekretariat@netit.tu-berlin.de. The registration for the module will be proceeded at the Examination Office (Prüfungsamt).

    Please note that you will only receive CP´s for the full completed module. Only for exchange students the following regulation applies:

    Information for exchange students: it is possible to be examined only in one lecture of the module with 3 Credit Points. You do not need to register at the Examination Office, simply ask for an examination date at sekretariat@netit.tu-berlin.de. After passing the exam you receive a certificate.

    Please provide the following information in the e-mail for the exam registration:

    - Matriculation number & degree program
    - Exchange student (yes/ no)
    - Should the examinations take place in two parts or one examination?

    Lectures will not be recorded. The lectures will be held by Dr. Renato L.G Cavalcante.

    Terms of Use

    The lecture notes of this course are exclusively for the personal use of the enrolled students. Any type of distribution, reproduction, disclosure, and non-personal usage is prohibited. 

    Moreover, recording the lectures in any form (including audio and video), even partially and for private use, is strictly forbidden.

    All data, especially personal and confidential data, must be protected by the student in such a way that unauthorized access and unauthorized access to the data and documents is effectively prevented. Data, information or documents may not be passed on to third parties nor may they be made available for inspection by third parties (e.g. on screen or on printouts). The student is responsible for compliance with this principle and for the possible consequences of non-compliance.

    • Datenschutzgrundverordnung (DSGVO) Link
    • Berliner Datenschutzgesetz Link
    • §§ 6, 6a Berliner Hochschulgesetz (BerlHG) Link
    • Berliner Informationsfreiheitsgesetz Link