Computer Science

• Gesamtes Lehrangebot der Informatik

  E24nA1.1
  • 19300001 Lecture
    Fundamentals of Programming (Katharina Klost)
    Schedule: Mo 14:00-16:00, Mi 12:00-14:00 (Class starts on: 2025-10-13)
    Location: , Gr. Hörsaal (Raum B.001)
    

    Comments

    Qualification goals 

    The students can explain and compare different programming paradigms. They are able to interpret descriptions and source code related to fundamental data structures, to characterize how they work, and to implement basic algorithms and data structures in different programming paradigms, adapting them to given requirements. They can discuss the advantages and disadvantages of different solutions for algorithmic problems.

    Contents

    Students acquire the fundamentals of programming. We will discuss basic programming paradigms, such as imperative, functional, and object oriented. Students will learn about expressions and data types, as well as fundamental aspects of imperative programming (e.g., state, statements, control structures, input-output), and practice their application. Students will also gain an understanding of fundamental aspects of functional programming (functions, recursion, higher-order functions, currying), object-oriented concepts such as encapsulation and inheritance, polymorphism, as well as basic algorithmic tasks (e.g., searching, sorting, selection, and simple array- and pointer-based data structures), and practice their implementation.

  • 19300002 Practice seminar
    Practice seminar for Fundamentals of Programming (Katharina Klost, Kristin Knorr)
    Schedule: Mi 14:00-16:00, Mi 16:00-18:00, Do 08:00-10:00, Do 12:00-14:00, Do 16:00-18:00, Fr 08:00-10:00, Fr 10:00-12:00, Fr 12:00-14:00, Fr 14:00-16:00 (Class starts on: 2025-10-15)
    Location: T9/055 Seminarraum (Takustr. 9)
    

    Comments

    Tutorien finden erst ab der 2. Vorlesungswoche statt

  • 19300601 Lecture
    Computer Architecture (Larissa Groth)
    Schedule: Di 12:00-14:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-14)
    Location: , Hs 1a Hörsaal, T9/Gr. Hörsaal
    

    Comments

    The module Computer Architecture covers basic concepts of computer systems. Topics are von-Neuman/Harvard architecture, microarchitectures, RISC/CISC, micro programming, pipelining, caches, memory hierarchy, bus systems, assembler programming, multi processor systems, branch prediction, representation of numbers and other data types, computer arithmetic.

    Suggested reading

    • Andrew S. Tannenbaum: Computerarchitektur, 5.Auflage, Pearson Studium, 2006
    • English: Andrew S. Tanenbaum (with contributions from James R. Goodman):
    • Structured Computer Organization, 4th Ed., Prentice Hall International, 2005.

  • 19300604 PC-based Seminar
    Practice seminar for Computer Architecture (Larissa Groth, Marius Max Wawerek)
    Schedule: Mo 12:00-14:00, Mo 14:00-16:00, Mi 12:00-14:00, Mi 14:00-16:00, Do 14:00-16:00, Do 16:00-18:00, Fr 12:00-14:00, Fr 14:00-16:00 (Class starts on: 2025-10-13)
    Location: T9/K38 Rechnerpoolraum (Takustr. 9)
    
  • 19300901 Lecture
    Discrete Structures for Computer Science (Max Willert)
    Schedule: Di 14:00-16:00, Do 14:00-16:00 (Class starts on: 2025-10-14)
    Location: , Gr. Hörsaal (Raum B.001)
    

    Comments

    Qualifikationsziele

    Die Studierenden formulieren³ Aussagen formal aussagenlogisch und prädikatenlogisch. Sie analysieren⁴ und vereinfachen³ die logische Struktur gegebener Aussagen und beschreiben⁴ die logische Struktur von Beweisen. Sie benennen Eigenschaften unterschiedlicher Mengen, Relationen und Funktionen und begründen⁴ diese mit Hilfe formaler Argumente. Sie können Beweise für elementare Aussagen unter Verwendung elementarer Beweistechniken entwickeln⁵ und die Mächtigkeit von Mengen mit Hilfe kombinatorischer Techniken sowie Wahrscheinlichkeiten von Zufallsereignissen bestimmen³. Sie sind in der Lage, Fragestellungen der (Bio-)Informatik mit Hilfe der Graphentheorie und der diskreten Wahrscheinlichkeitstheorie zu modellieren.^3. Die Studierenden benennen Eigenschaften unterschiedlicher Graphen und begründen⁴ diese mit Hilfe formaler Argumente.

    Inhalte

    Studierende erlernen grundlegende Konzepte der Mengenlehre, Logik, Booleschen Algebra, Kombinatorik und Graphentheorie und üben deren Anwendung. Sie erarbeiten sich in der Mengenlehre Mengen, Relationen, Äquivalenz- und Ordnungsrelationen und Funktionen. Im Bereich der Logik und Booleschen Algebra erarbeiten sie sich Aspekte der Aussagenlogik, Prädikatenlogik, Erfüllbarkeitstests, sowie Boolesche Funktionen und Normalformen. Im Themenfeld Kombinatorik erlernen und diskutieren sie das Schubfachprinzip, Rekursion, Abzählprinzipien, Fakultät und Binomialkoeffizienten. Im Themenfeld Graphentheorie erarbeiten sie Repräsentationsformen, Wege, Kreise und Bäume. Zuletzt erarbeiten sie sich verschiedene Beweistechniken und grundlegende Aspekte Diskreter Wahrscheinlichkeitstheorie. Die meisten dieser Konzepte werden an Rechen- oder Beweisaufgaben geübt.

  • 19300902 Practice seminar
    Practice seminar for Discrete Structures for CS (Max Willert)
    Schedule: Mo 08:00-10:00, Mo 10:00-12:00, Mo 16:00-18:00, Di 08:00-10:00, Di 10:00-12:00, Di 12:00-14:00, Di 16:00-18:00, Mi 08:00-10:00 (Class starts on: 2025-10-13)
    Location: T9/053 Seminarraum (Takustr. 9)
    
  • 19301101 Lecture
    Analysis for Computer Science and Bioinformatics (Katinka Wolter, Klaus Kriegel)
    Schedule: Di 14:00-16:00, Fr 10:00-12:00 (Class starts on: 2025-10-14)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Additional information / Pre-requisites

    The sign-up for the tutorial sessions will be announced in due time.

    Comments

    Contents:

    • number systems: from natural numbers to real numbers, completeness property of the reals
    • polynomials: roots of polynomials, polynomial interpolation, rational functions
    • special functions:  exponential function, logarithm, trigonometric functions
    • complex numbers: exponential function for complex numbers, complex roots
    • convergence of sequences and series, convergence of functions, continuous functions, O-notation
    • differential calculus: derivative of a function,  interpretations and applications of the derivative
    • intergral calculus: primitive functions, definite integrals,  fundamental theorem of calculus, applications
    • power series
    • basics of stochastics: probability spaces, discrete and continuous random variables, expected value and variance of random variables

    Suggested reading

    • Kurt Meyberg, Peter Vachenauer: Höhere Mathematik 1, Springer-Verlag, 6. Auflage 2001
    • Dirk Hachenberger: Mathematik für Informatiker, Pearson 2005
    • Peter Hartmann: Mathematik für Informatiker, Vieweg, 4. Auflage 2006
    • Thomas Westermann: Mathematik für Ingenieure mit Maple 1, Springer-Verlag, 4. Auflage 2005

  • 19301102 Practice seminar
    Practice seminar for Analysis for Computer Science (Katinka Wolter)
    Schedule: Mo 12:00-14:00, Mo 16:00-18:00, Di 16:00-18:00, Mi 12:00-14:00, Mi 16:00-18:00, Do 10:00-12:00, Fr 14:00-16:00 (Class starts on: 2025-10-13)
    Location: T9/046 Seminarraum (Takustr. 9)
    
  • 19301201 Lecture
    Foundations of Theoretical Computer Science (Günther Rothe)
    Schedule: Mo 10:00-12:00 (Class starts on: 2025-10-20)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Comments

    Contents:

    • models of computation
      • automata
      • formal languates
      • grammars and the Chomsky-hierarchy
      • Turing-machines
      • computabilty
    • introduction to the complexity of computational problems

    Suggested reading

    • Uwe Schöning, Theoretische Informatik kurzgefasst, 5. Auflage, Spektrum Akademischer Verlag, 2008
    • John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman, Einführung in die Automatentheorie, Formale Sprachen und Komplexität, Pearson Studium, 3. Auflage, 2011
    • Ingo Wegener: Theoretische Informatik - Eine algorithmenorientierte Einführung, 2. Auflage, Teubner, 1999
    • Michael Sipser, Introduction to the Theory of Computation, 2nd ed., Thomson Course Technology, 2006
    • Wegener, Kompendium theoretische Informatik - Eine Ideensammlung, Teubner 1996

  • 19301202 Practice seminar
    Practice seminar for Foundations of Theoretical Computer Science (Günther Rothe)
    Schedule: Mo 12:00-14:00, Di 16:00-18:00, Mi 08:00-10:00, Mi 14:00-16:00, Mi 16:00-18:00, Do 08:00-10:00, Do 16:00-18:00, Fr 08:00-10:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-13)
    Location: , A7/SR 031, A7/SR 140 Seminarraum (Hinterhaus), T9/046 Seminarraum, T9/049 Seminarraum, T9/051 Seminarraum, T9/053 Seminarraum, T9/SR 006 Seminarraum
    
  • 19301301 Lecture
    Consequences of Computer Science (Lutz Prechelt)
    Schedule: Mo 12:00-14:00 (Class starts on: 2025-10-13)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Additional information / Pre-requisites

    The course language is German, including all slides and practice sheets.

    Homepage

    http://www.mi.fu-berlin.de/w/SE/TeachingHome

    Comments

    This course deals with the consequences of computer science. Its aim is to establish an understanding of the fact that computer systems intervene in manifold ways in our private and professional lifes and shapen them. Many of these influences bring about major risks and need a conscious and enlightened composition in which computer scientists by nature play an important role -- or should at least do so.

    We will for example have a look at how computerisation influences our private sphere, economics and society as a whole, our security and working environment. A conceptual introduction will provide orientational knowledge besides basic knowledge (Verfügungswissen) and strategies how to deal with both: analyse critically and get involved in the technical development.

    Suggested reading

    See the slides.

  • 19301302 Practice seminar
    Exercise for Consequences of Computer Science (Lutz Prechelt, Linus Ververs)
    Schedule: Mo 10:00-12:00, Di 12:00-14:00, Di 16:00-18:00, Mi 08:00-10:00, Mi 10:00-12:00, Mi 14:00-16:00, Mi 16:00-18:00, Do 16:00-18:00 (Class starts on: 2025-10-13)
    Location: T9/049 Seminarraum (Takustr. 9)
    

    Comments

    siehe Vorlesung; Informationen zu den Zeiten und Orten der täglichen Übungen sind zu finden auf der Veranstaltungswebseite

  • 19301501 Lecture
    Database Systems (Katharina Baum)
    Schedule: Di 10:00-12:00, Do 10:00-12:00 (Class starts on: 2025-10-14)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Requirements

    • ALP 1 - Functional Programming
    • ALP 2 - Object-oriented Programming
    • ALP 3 - Data structures and data abstractions
    • OR Informatik B

    Comments

    Content

    Database design with ERM/ERDD. Theoretical foundations of relational database systems: relational algebra, functional dependencies, normal forms. Relational database development: SQL data definitions, foreign keys and other integrity constraints, SQL as applicable language: essential language elements, embedding in programming language. Application programming; object-relational mapping. Security and protection concepts. Transaction subject, transactional guaranties, synchronization of multi user operations, fault tolerance features. Application and new developments: data warehousing, data mining, OLAP.

    Project: the topics are deepened in an implementation project for student groups.

    Suggested reading

    • Alfons Kemper, Andre Eickler: Datenbanksysteme - Eine Einführung, 5. Auflage, Oldenbourg 2004
    • R. Elmasri, S. Navathe: Grundlagen von Datenbanksystemen, Pearson Studium, 2005

  • 19301502 Practice seminar
    Practice seminar for Database systems (Pascal Iversen)
    Schedule: Mi 12:00-14:00 (Class starts on: 2025-10-15)
    Location: T9/049 Seminarraum (Takustr. 9)
    
  • 19301710 Proseminar
    Undergraduate Seminar: Theoretical Computer Science (Katharina Klost, Kristin Knorr)
    Schedule: Di 10:00-12:00 (Class starts on: 2025-10-14)
    Location: T9/K40 Multimediaraum (Takustr. 9)
    

    Comments

    Contents

    The proseminar delves more deeply into topics covered in the basic classes taught by the theory group. During the winter semester, we consider advanced topics from the theory of computability and of formal languates (in continuation of "Theory of Computation"); during the summer semester, we talk about algorithms (in continuation of "Algorithms, Data Structures, and Data Abstraction").

    Prerequisites

    two semesters of computer science, successful completion of "Theory of Computation"

    Suggested reading

    wird mit der Ankündigung bekannt gegeben

  • 19302201 Lecture
    System Administration (Rolf Dietze)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    The class will be taught as a block course. Details will be announced in due time.

    Comments

    Contents

    • shell scripting from the viewpoint of system administration
    • planning and setting up a computer system while taking availability and maintainability into consideration (RAS-conditions)
    • redundancy in networking and storage
    • planning and setting up a redundant storage system (Raid-technologies and management)
    • system administration, security and user management, accounting and logging
    • managing configuration files and documentation
    • backups - strategies and technologies
    • planning and realization of networkwide services and resources (e.g. file services, print services, network information services)
    • implementation on different platforms (AIX, Solaris)
    • partitioning, virtualization and resource management on modern systems supporting logical partitioning
    • virtualization and resource management at the operating systems level (workload partitions, zones, jails)
    • qualitative comparison of partitioning and virtualization techniques on PowerPC and Sparc based UNI*-systems.
    • delegation of administration tasks with rolebased access (RBAC)
    • ethical and legal aspects when dealing with administrative privileges,
    • special aspects and procedures when dealing with personal information and security clearances when dealing with vital systems

    At the beginning of the class, we will refresh the necessary knowledge to participate in the practical exercises and we will set up a working environment in the context of the administration of a heterogeneous computer network. Previous experience is desirable.

  • 19302230 Internship
    Internship for System Administration (Rolf Dietze)
    Schedule: -
    Location: keine Angabe
    
  • 19302613 Lab Seminar
    Planning, Realisation and Analysis of a Tutorial (Max Willert)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    Time and location by appointment.

    Comments

    Content

    In a preparatory colloquium, current teaching methods and advising for tutors are presented and discussed. This colloquium is specifically for students, which particularly want to guide exercise sessions as a tutor for the mathematics and computer science students. An interview with the selection committee will take place even during the holidays, in which will be decided about the suitability as a tutor.

    After successful aptitude assessment a tutorial about a subjects of a lecture of the first four semesters bachelor study, should be prepare, expose, documented and analyzed.

  • 19303501 Lecture
    Advanced Algorithms (N.N.)
    Schedule: Mo 10:00-12:00, Fr 10:00-12:00 (Class starts on: 2025-10-13)
    Location: KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)
    

    Additional information / Pre-requisites

    Target audience

    All Master and Bachelor students who are interested in algorithms.

    Prerequisites

    Basic familiarity with the design and analysis of algorithms.

    Comments

    The class focuses on topics such as

    • general principles of algorithm design,
    • network flows,
    • number-theoretic algorithms (including the RSA crypto system),
    • string matching,
    • NP-completeness,
    • approximation algorithms for hard problems,
    • arithmetic algorithms and circuits, fast fourier transform.

    Suggested reading

    • Cormen, Leiserson, Rivest, Stein: Introduction to Algorithms, 2nd Ed. McGraw-Hill 2001
    • Kleinberg, Tardos: Algorithm Design Addison-Wesley 2005.

  • 19303502 Practice seminar
    Practice seminar for Advanced Algorithms (N.N.)
    Schedule: Mi 08:00-10:00, Mi 14:00-16:00 (Class starts on: 2025-10-15)
    Location: T9/046 Seminarraum (Takustr. 9)
    
  • 19303601 Lecture
    Cryptography and Security in Distributed Systems (Volker Roth)
    Schedule: Mi 14:00-16:00, Do 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Requirements: Participants must have a good mathematical understanding and good knowledge of computer security and networking.

    Comments

    This course gives an introduction to cryptography and cryptographic key management, as well as an introduction to cryptographic protocols and their application in the field of security in distributed systems. Relevant mathematical tools will be developed accordingly. In addition, the lecture addresses the importance of implementation details in the context of IT system security.

    Suggested reading

    • Jonathan Katz and Yehuda Lindell, Introduction to Modern Cryptography, 2008
    • Lindsay N. Childs, A Concrete Introduction to Higher Algebra. Springer Verlag, 1995.
    • Johannes Buchmann, Einfuehrung in die Kryptographie. Springer Verlag, 1999.

    Weitere noch zu bestimmende Literatur und Primärquellen.

  • 19303602 Practice seminar
    Übung zu Kryptographie und Sicherheit in Verteilten Systemen (Volker Roth)
    Schedule: Do 14:00-16:00 (Class starts on: 2025-10-16)
    Location: , T9/049 Seminarraum
    
  • 19303811 Seminar
    Project seminar: Computer science and archaeology (Agnès Voisard)
    Schedule: Do 12:00-14:00 (Class starts on: 2025-10-16)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Requirement

    ALP I-III, Foundations of Datenbase Systems, good programming knowledge.

    Comments

    Research Seminar: Computer Science and Archaeology

    Course Description

    This research seminar brings together students of Informatics and Ancient Studies to explore the application of computational methods to archaeological questions. The research seminar will be a hands-on approach to digital cultural heritage methods, such as spatial analysis, 3D reconstruction, data mining and the digital processing of archaeological artefacts. Examples of datasets will include, but not be limited to, pottery, stone tools, inscriptions, clay tablets, and landscapes.

    A central goal of the seminar is to encourage interdisciplinary collaboration, with students working in pairs — ideally combining a Computer Science student with an Ancient Studies student. Each team will develop and carry out a small research project that combines technical tools with archaeological data, methods, or research questions.

    Topics include, but not limited to:

    – 3D analysis of archaeological artifacts and architecture
    – Geographic Information Systems (GIS) and spatial data analysis
    - Machine learning and computer vision for artifact classification
    – Usage of databases and digital documentation of excavation data
    – OCR/HTR for script in 3D like inscriptions or clay tablets

    Students from Informatics will gain experience applying computational techniques in a humanities context, while students from Ancient Studies will be introduced to digital tools and approaches that support archaeological research.

    No prior coding experience is required for Ancient Studies students, and no background in archaeology is assumed for Computer Science students.

    The seminar is jointly supervised by the Institute of Computer Science and the Archaeoinformatics group of the Institute of Computational Ancient Studies (CompAS) at Freie Universität Berlin, ensuring balanced guidance across disciplines.

    Learning Objectives

    – Understand interdisciplinary challenges and opportunities in digital archaeology

    – Learn to apply and assess computational tools for cultural heritage data

    – Develop and present a collaborative, project-based research outcome

    – Gain insights into current digital humanities and digital archaeology practices

     

     

     

     

    Suggested reading

    Literature and Data Sources:
     

    Open Access if not stated otherwise:

    
    – ACM Journal on Computing and Cultural Heritage
              https://dl.acm.org/journal/jocch
    – De Gruyter Brill on Open Archaeology (OPAR)
              https://www.degruyterbrill.com/journal/key/opar/html
    – Elsevir Journal of Archaeological Science (JAS)
              https://www.sciencedirect.com/journal/journal-of-archaeological-science

    – Journal of Computer Applications in Archaeology (JCAA)
               https://journal.caa-international.org/
    – Journal of Open Archaeological Data (JOAD)
               https://openarchaeologydata.metajnl.com/
    – Journal of Open Humanities Data (JOHD)
               https://openhumanitiesdata.metajnl.com/

    
    Survey articles and Books:
    
    – Advances in digital pottery analysis
              https://doi.org/10.1515/itit-2022-0006
    – Digital Assyriology—Advances in Visual Cuneiform Analysis
              https://doi.org/10.1145/3491239
    – Machine Learning for Ancient Languages: A Survey

              https://doi.org/10.1162/coli_a_00481
    – Airborne laser scanning raster data visualization. A Guide to Good Practice
              https://doi.org/10.3986/9789612549848
    – Digital Humanities, Eine Einführung (German, no Open Acces)
              https://link.springer.com/book/9783476047687
    – New Technologies for Archaeology, Multidisciplinary Investigations in Palpa and Nasca,   Peru (no Open Acces) https://doi.org/10.1007/978-3-540-87438-6
    – Digging in documents: using text mining to access the hidden knowledge in Dutch archaeological excavation reports https://hdl.handle.net/1887/3274287
    
    Databases (related to research partners):

     

    – Heidelberg Objekt- und Multimediadatenbank (HeidICON)
              https://heidicon.ub.uni-heidelberg.de
    – Kooperative Erschließung und Nutzung der Objektdaten von Münzsammlungen
              https://www.kenom.de/
    – Art Institute of Chicago (API)
              https://api.artic.edu/docs/
    – FactGrid, a database for historical research
              https://database.factgrid.de/wiki/Main_Page
    – Research infrastructures of the German Archaeological Institute (DAI), multiple DBs:
              https://idai.world
    – Heidelberg Accession Index (HAI): Zugangsbücher und Bestandsverzeichnisse     deutscher Sammlungen und Museen           https://digi.ub.uni-heidelberg.de/de/hai/index.html

    – Bilddatenbank des Kunsthistorische Instituts (GeschKult, FU)
              https://www.geschkult.fu-berlin.de/e/khi/ressourcen/diathek/digitale_diathek/index.html
    – Epigraphic Database Heidelberg
              https://edh.ub.uni-heidelberg.de/

    – Ubi Erat Lupa  – Bilddatenbank zu antiken Steindenkmälern
              https://lupa.at/
    – Hethitologie-Portal Mainz
              https://hethport.uni-wuerzburg.de
    – Altägyptische Kursivschriften und Digitale Paläographie (AKU-PAL)
              https://aku-pal.uni-mainz.de/graphemes
    – Text Database and Dictionary of Classic Mayan (German and Spanish)
              https://www.classicmayan.org

  • 19304201 Lecture
    Machine Learning (Tim Landgraf)
    Schedule: Mi 12:00-14:00, Do 14:00-16:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-15)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Additional information / Pre-requisites

    Prerequisites: Basic knowledge  in Mathematics and Algorithms and Data structures.

    Comments

    Contents: Bayesian methods of pattern recognition, clustering, expectation maximization, neuronal networks and learning algorithms, associate networks, recurrent networks. Computer-vision with neuronal networks, applications in Robotics.

    Suggested reading

    wird noch bekannt gegeben

  • 19304202 Practice seminar
    Practice seminar for Pattern recognition / Machine Learning (Manuel Heurich)
    Schedule: Mo 14:00-16:00 (Class starts on: 2025-10-20)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    
  • 19304801 Lecture
    Geospatial Databases (Agnès Voisard)
    Schedule: Di 14:00-16:00 (Class starts on: 2025-10-14)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Zielgruppe:
    
    Studierende im Masterstudiengang Voraussetzungen: Vorlesung: Einf. in Datenbanksysteme

    Comments

    The goal of this course is to acquire the background of spatial databases, the kernel of Geographic Systems. The major aspects that will be handled are: modeling and querying geospatial information, spatial access methods (SAMs), data representation, basic operations (mostly from computational geometry), and optimization. Insights into current applications such as location-based services (e.g., navigation systems) will also be given. Knowledge in databases is necessary. This course encompasses: formal lectures, exercises, as well as a practical project with PostGIS.
     

    Suggested reading

    Handouts are enough to understand the course.
    
    The following book will be mostly used: P. Rigaux, M. Scholl, A. Voisard.Spatial Databases - With Application to GIS. Morgan Kaufmann, May 2001. 432 p. (copies in the main library)

  • 19304802 Practice seminar
    Practice seminar for Geospatial Databases (Agnès Voisard)
    Schedule: Do 14:00-16:00 (Class starts on: 2025-10-16)
    Location: A7/SR 031 (Arnimallee 7)
    
  • 19305101 Lecture
    Telematics (Jochen Schiller)
    Schedule: Mo 14:00-16:00, Fr 14:00-16:00 (Class starts on: 2025-10-13)
    Location: T9/051 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Requirements: Basic understanding of computer networks, e.g., TI-III

     

    Comments

    Content

    Telematics = telecommunications + informatics (often also called computer networks) covers a wide spectrum of topics - from communication engineering to the WWW and advanced applications.

    The lecture addresses topics such as:

    • Basic background: protocols, services, models, communication standards;
    • Principles of communication engineering: signals, coding, modulation, media;
    • Data link layer: media access etc.;
    • Local networks: IEEE-Standards, Ethernet, bridges;
    • Network layer: routing and forwarding, Internet protocols (IPv4, IPv6);
    • Transport layer: quality of service, flow control, congestion control, TCP;
    • Internet: TCP/IP protocol suite;
    • Applications: WWW, security, network management;
    • New network concepts (QUIC etc.).

    At the End of this course, you should...

    • know how networks in general are organized
    • know what the Internet could be or is
    • understand how wired/wireless (see Mobile Communications) networks work
    • understand why/how protocols and layers are used
    • understand how e-mails, videos get to where you are
    • understand how operators operate real, big networks
    • understand the cooperation of web browsers with web servers
    • be aware of security issues when you use the network
    • be familiar with acronyms like: ALOHA, ARP, ATM, BGP, CDMA, CDN, CIDR, CSMA, DCCP, DHCP, ETSI, FDM, FDMA, FTP, HDLC, HTTP, ICMP, ICN, IEEE, IETF, IP, IMAP, ISP, ITU, ISO/OSI, LAN, LTE, MAC, MAN, MPLS, MTU, NAT, NTP, PCM, POTS, PPP, PSTN, P2P, QUIC, RARP, SCTP, SMTP, SNMP, TCP, TDM, TDMA, UDP, UMTS, VPN, WAN, ...

    Literature

    • A. Tanenbaum & D. Wetherall: Computer Networks (5th edition)
    • J. Kurose & K. Ross: Computer Networking (6th edition)
    • S. Keshav: Mathematical Foundations of Computer Networking (2012)
    • W. Stallings book, W. Goralski book 
    • IETF drafts and RFCs
    • IEEE 802 LAN/MAN standards

    Prerequisites

    As this is a Master Course you have to know the basics of computer networks already (e.g. from the OS&CN BSc course or any other basic networking course). That means you know what protocol stacks are, know the basic ideas behind TCP/IP, know layering principles, got a rough understanding of how the Internet works. This course will recap the basics but then proceed to the more advanced stuff.

    Resources & Organization

    The course comprises about 30 "lectures", 90 minutes each, following the inverted or flipped classroom principle. I.e. you will be able to access a video of the lecture before we discuss the content in class. To be able to discuss you have to watch the video BEFORE we meet! This is your main assignment - go through the video, prepare questions if something is not clear. During the meetings there will be a recap of the main ideas plus enough time to discuss each topic if necessary.

    Suggested reading

    • Larry Peterson, Bruce S. Davie: Computernetze - Ein modernes Lehrbuch, dpunkt Verlag, Heidelberg, 2000
    • Krüger, G., Reschke, D.: Lehr- und Übungsbuch Telematik, Fachbuchverlag Leipzig, 2000
    • Kurose, J. F., Ross, K. W.: Computer Networking: A Top-Down Approach Featuring the Internet, Addi-son-Wesley Publishing Company, Wokingham, England, 2001
    • Siegmund, G.: Technik der Netze, 4. Auflage, Hüthig Verlag, Heidelberg, 1999
    • Halsall, F.: Data Communi-cations, Computer Networks and Open Systems 4. Auflage, Addison-Wesley Publishing Company, Wokingham, England, 1996
    • Tanenbaum, A. S.: Computer Networks, 3. Auflage, Prentice Hall, Inc., New Jersey, 1996

  • 19305102 Practice seminar
    Practice seminar for Telematics (Jochen Schiller, Marius Max Wawerek)
    Schedule: Mo 16:00-18:00 (Class starts on: 2025-10-20)
    Location: T9/055 Seminarraum (Takustr. 9)
    
  • 19305811 Seminar
    Seminar: Contributions to Software Engineering (Lutz Prechelt)
    Schedule: Do 16:00-18:00 (Class starts on: 2025-10-23)
    Location: T9/049 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Target group

    Students of Computer Science (also Minor).

    In case you are interested, please contact an adecuate group member with a topic suggestion or request.

    As this lecture is offered continuously, attendance may also start any time during the semester.

    Requirements

    Any computer science student having attended the lecture Software Engineering (Softwaretechnik).

    It may become necessary to deal with materials from the lecture Empirical Evaluation in Informatics (Empirische Bewertung in der Informatik).

    Homepage

    http://www.inf.fu-berlin.de/w/SE/SeminarBeitraegeZumSE

    Comments

    Content

    This is a reseach seminar: normally the presentations are supposed to advance current research projects. Thus, there are, generally speaking, three possible types of topics:

    • published or current research projects from one of the areas in which our software engineering group works
    • especially good specific research projects (or other knowledge) from other areas of software engineering or adjacent areas of computer science
    • basis topics from important areas of software engineering or adjacent disciplines such as psychology, sociology, pedagogics, economics as well as their methods.

    There is no exact restriction of topics though; almost anything is possible.

    Suggested reading

    Je nach Wahl des Vortragsthemas

  • 19306101 Lecture
    Software Processes (Lutz Prechelt)
    Schedule: Mo 14:00-16:00 (Class starts on: 2025-10-13)
    Location: T9/049 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    The course language is German, but the actual slides and practice sheets are in English.

    The exam will be formulated in German, but answers may be given in English, too.

    Comments

    This course teaches the content of various software development process models, but in particular the power of judgment for deciding which elements of a process may be appropriate or not appropriate and why.

    We discriminate the "classical view" of software engineering (which originates from positivist thinking and the engineering ideals of industrial production) on the one hand and the "modern view" (which originates in humanist thinking and humbler expectations about what engineering should expect to achieve) on the other. We use this discrimination as a litmus test for tracking down cultural undercurrents in software processes that damage a process when and where they are inappropriate for the given task and team.

    For details see the website:https://www.inf.fu-berlin.de/w/SE/VorlesungSoftwareprozesse2025

    Suggested reading

    See the slides

  • 19306102 Practice seminar
    Practice seminar for Software Processes (Lutz Prechelt, Linus Ververs)
    Schedule: Di 14:00-16:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-14)
    Location: T9/049 Seminarraum (Takustr. 9)
    

    Comments

    Siehe Vorlesung

  • 19308312 Project Seminar
    Implementation Project: Applications of Algorithms (Günther Rothe)
    Schedule: Di 08:00-10:00 (Class starts on: 2025-10-14)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Comments

    Contents

    We choose a typical application area of algorithms, usually for geometric problems, and develop software solutions for it, e.g., computer graphics (representation of objects in a computer, projections, hidden edge and surface removal, lighting, raytracing), computer vision (image processing, filtering, projections, camera calibration, stereo-vision) or pattern recognition (classification, searching).

    Prerequsitions

    Basic knowledge in design and anaylsis of algorithms.

    Suggested reading

    je nach Anwendungsgebiet

  • 19309212 Project Seminar
    SWP: Smart Home Demo Lab (Jochen Schiller, Marius Max Wawerek)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/K63 Hardwarepraktikum (Takustr. 9)
    

    Additional information / Pre-requisites

    In this course you will be expected to write code. The outcome of your software project should be a concrete contribution to the RIOT code base, and take the shape of one or more pull request(s) to the RIOT github (https://github.com/RIOT-OS/RIOT). Before you start coding, refer to the starting guide

    https://github.com/RIOT-OS/RIOT/wiki#wiki-start-the-riot

    Comments

    Softwareproject Smart Home Demo Lab

    In this course, students will work on topics related to the Smart Home Demo Lab of the Computer Systems & Telematics working group.

    The topics include:

    • Creation of a Smart Home ecosystem
    • Machine Learning (ML) based analysis of Smart Home datasets
    • Experiments with and Improvements of existing ML models
    • Design of Smart Home Usage scenarios
    • Development of your own (virtual) IoT device

    Participants will work in smaller groups (3-5 students), where each group will focus on a specific topic.

    Regarding Organization: The software project will take course throughout the whole lecture period. First a kick off meeting with all participants will be held. There all the different topics will be presented. Afterwards each student will hand in a list of topic priorities.

    The actual work on the topics will occur in multiple two week sprints. Finally at the end of the lecture period one overall final presentation will be held showing the results of all topics.

    Depending on the needs of the students the software project can be held in either German or English.

    Suggested reading

    • A. S. Tanenbaum, Modern Operating Systems, 3rd ed. Upper Saddle River, NJ, USA: Prentice Hall Press, 2007.
    • Shelby, Zach, and Carsten Bormann. 6LoWPAN: The wireless embedded Internet. Vol. 43. Wiley. com, 2011.
    • A. Dunkels, B. Gronvall, and T. Voigt, "Contiki - a lightweight and flexible operating system for tiny networked sensors." in LCN. IEEE Computer Society, 2004, pp. 455-462.
    • P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, and D. Culler, "TinyOS: An Operating System for Sensor Networks," in Ambient Intelligence, W. Weber, J. M. Rabaey, and E. Aarts, Eds. Berlin/Heidelberg: Springer-Verlag, 2005, ch. 7, pp. 115-148.
    • Oliver Hahm, Emmanuel Baccelli, Mesut Günes, Matthias Wählisch, Thomas C. Schmidt, "RIOT OS: Towards an OS for the Internet of Things," in Proceedings of the 32nd IEEE International Conference on Computer Communications (INFOCOM), Poster Session, April 2013.
    • M.R. Palattella, N. Accettura, X. Vilajosana, T. Watteyne, L.A. Grieco, G. Boggia and M. Dohler, "Standardized Protocol Stack For The Internet Of (Important) Things", IEEE Communications Surveys and Tutorials, December 2012.
    • J. Wiegelmann, Softwareentwicklung in C für Mikroprozessoren und Mikrocontroller, Hüthig, 2009

  • 19310030 Internship
    Practical Project: Microprocessors (Larissa Groth, Marius Max Wawerek)
    Schedule: Di 14:00-16:00, Mi 12:00-14:00, Fr 14:00-16:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-14)
    Location: T9/K63 Hardwarepraktikum (Takustr. 9)
    

    Additional information / Pre-requisites

    Important information about the course:
    The microprocessor practical course will be offered this semester with a joint theory session on Tuesdays, 2-4 p.m., and two independent practical exercise sessions:

    • Group A, Wednesdays, 12-2 p.m. Takustraße 9, Room K63
    • Group B, Fridays, 4-6 p.m. Takustraße 9, Room K63

    One of these practice dates must be chosen.

    Comments

    ATTENTION: Contrary to the schedule in the course catalog, this course does not have 3 mandatory dates, but only 2! See below for further information!

    The overwhelming majority of future computer systems will be characterized by communicating, embedded systems. These are found in machine controls, household appliances, motor vehicles, airplanes, intelligent buildings, etc. and will in future be increasingly integrated into networks such as the Internet.

    The internship will address the architecture of embedded systems and demonstrate the differences to traditional PC architectures (e.g., real-time capability, interaction with the environment) with practical examples. The internship is based on 16- and 32-bit microcontroller systems.

    The main focus of the internship is the following:

    •     register structures
    •     memory organization
    •     Hardware assembler and high-language programming
    •     I / O system and timer programming
    •     Interrupt system
    •     Watchdog logic
    •     Analog interface
    •     Bus system connection of components
    •     Communication (serial, CAN bus, Ethernet, radio and USB)
    •     Control of models and use of different sensors

    Suggested reading

    • Brian W. Kernighan, Dennis M. Ritchie: The C Programming Language, Second Edition, Prentice Hall, 1988.

  • 19310817 Seminar / Undergraduate Course
    Seminar/Proseminar: Internet of Things & Security (Computer Systems & Telematics) (Emmanuel Baccelli)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/K40 Multimediaraum (Takustr. 9)
    

    Comments

    Seminar Technische Informatik on Internet of Things & Security

    NOTE WELL: This seminar is research-oriented, in english, and primarily aimed at Masters students. You will learn how to survey and present academic work in written and oral form. Down the line, it may prepare you for a thesis on the topic you survey during the seminar.
    
    WARNING: This seminar is demanding. The schedule is tight, and you will have to put substantial work into surveying related work (breadth coverage), studying a specific technique (depth coverage) and structuring the written and oral presentation of your survey (tending towards an acceptable academic research level).
    
    SYNOPSIS: In large part, the deep edge (aka the Internet of Things, or IoT) consists of distributed systems including low-end devices with very small memory capacity (a few kBytes) and limited energy consumption (1000 times less than a RaspberryPi). Deep edge capabilities promise a new world of applications, but also bring up specific challenges in terms of programmability, energy efficiency, networking and security. After an introductory session at the start of the term, MSc students will pick a topic related to current technologies in the field of low-power deep edge computing, Internet of Things and security, and write a report (IEEE LaTeX template, approx. 12 pages including figures and references, A4, double column, 1.5 spacing, 11-point font) discussing corresponding questions. At the end of the term, the participants present their results in the form of a short talk (15 minutes + 5 minutes Q&A) in a meeting, which will also include cross-reviewing of student's presentations. During the term, there will be deadlines for status reports, but no weekly meetings of the complete seminar group.

    Attendance is mandatory only for the introductory session, a mid-term presentation, and the final presentation at the end of the term.

    SCHEDULE

    Mid-October: introductory session (presence mandatory)
    After 1 week: topic selection
    After 4 weeks: preliminary presentation & deadline to submit tentative outline for the report
    After 8 weeks: deadline to submit alpha version of the report
    After 10 weeks: deadline to submit beta version of the report & assignment for cross-reviewing of reports
    End of semester: deadline to submit final version of the report & presentation session (including Q&A and oral cross-review).

    Suggested reading

    The typical bibliography and online resources that will be in scope to survey for this seminar includes:
    - reviewing academic publications, e.g. papers from IEEE, ACM conferences/journals (available onscholar.google.com);
    - reviewing network protocol open standard specifications, e.g. IETF drafts and Request For Comments (RFC);
    - reviewing open source implementations (e.g. available on GitHub).

  • 19311720 Course
    Work and Life Tools (Lutz Prechelt)
    Schedule: Di 18:00-20:00 (Class starts on: 2025-10-14)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Duration

    The weekly lecture is of three hours length.

    Language

    The course language is German.

    Homepage

    http://www.inf.fu-berlin.de/w/SE/KursArbeitsUndLebensmethodik2022

     

    Comments

    Work and Life Tools

    In this course we will shed light on those questions which decisively influence a successful course of action in one's studies and profession and the success and contentment in private life.

    These are mostly less technical abilities but rather characteristics: purposefullness, self confidence, ability to concentrate and relax, decision-making ability, clear communication, self-perception, motivation, stamina.

    The purpose of this course is to trigger and improve a purposeful and self-motivated personal development.

    Furthermore, it is explained how and why great parts of the so-called soft skills arise almost independently when developing the above-mentioned abilities.

    This course is a seminar in the original sense: mainly a discussion in which each participant explores something on his/her own (in this case his/her own behavior). However, the format differs completely to what the title "Seminar" ususally suggests in Computer Science: there are no topics assigned, no presentations, no papers. It is about ...  (Es geht um Bildung, nicht um Ausbildung)

    The number of participants is limited; prior registration is necessary. The course requires study experience and therefor cannot be attended by first semesters.

    I expect an open and commited particpation of all particpants. The course demands only a moderate expenditure of time, but a considerable input of will power.

    Suggested reading

    wird in der Veranstaltung bekannt gegeben

  • 19312101 Lecture
    Systems Software (Barry Linnert)
    Schedule: Di 12:00-14:00, Mi 12:00-14:00 (Class starts on: 2025-10-14)
    Location: A7/SR 031 (Arnimallee 7)
    

    Additional information / Pre-requisites

    Language

    The course language is German as is the oral presentation of the lecturer, but the slides and all written material is available in English. You can always ask questions in English. The practice sheets and final exam are formulated in German as well as in English.

    Homepage

    https://www.inf.fu-berlin.de/w/SE/VorlesungBetriebssysteme2025

    Comments

    Operating systems tie together the execution of applications, user experience and usability with the management of computer hardware. Starting with the tasks an operating system has to perform and the requirements it has to meet, the most important aspects of design and development of modern operating systems will be introduced:

    • Structure and design of an operating system including historical summary, structures and philosophies of OS design and resources and resource management
    • Threads and processes including thread management
    • Scheduling including real-time scheduling
    • Process interaction and inter-process communication
    • Resource management including device operation, driver development, management and operation of input- and output devices
    • Memory management including address spaces and virtual memory
    • File system including management and operation of discs and memory hierarchy
    • Distributed operating systems including distributed architectures for resource management
    • Performance evaluation and modeling including overload detection and handling

    Modern operating systems provide examples for different aspects and current research will be introduced. The tutorials serve to reflect the topics dealt with in the lecture and to acquire experience by developing a small operating system.

    Suggested reading

    • A.S. Tanenbaum: Modern Operating Systems, 2nd Ed. Prentice-Hall, 2001
    • A. Silberschatz et al.: Operating Systems Concepts with Java, 6th Ed. Wiley, 2004

  • 19312102 Practice seminar
    Practice seminar for Systems Software (Barry Linnert)
    Schedule: Do 14:00-16:00 (Class starts on: 2025-10-16)
    Location: T9/046 Seminarraum (Takustr. 9)
    
  • 19312904 PC-based Seminar
    Practice seminar for Seminar: Foundations of Computer Science Education (Ralf Romeike, Viktoriya Olari)
    Schedule: -
    Location: keine Angabe
    

    Comments

    Begleitveranstaltung zur Vorlesung 19312901

  • 19312911 Seminar
    Seminar: Foundations of Computer Science Education (Ralf Romeike, Viktoriya Olari)
    Schedule: -
    Location: keine Angabe
    

    Comments

    Refer to German description. Courses of Computer Science Education are part of the German teacher-training and held in German only.

  • 19313273 Brückenkurs
    Preparatory Course for First Years Students of Computer Science and Bioinformatics (Linus Ververs)
    Schedule: Termine siehe LV-Details (Class starts on: 2025-09-29)
    Location: , T9/046 Seminarraum, T9/049 Seminarraum, T9/051 Seminarraum, T9/053 Seminarraum, T9/055 Seminarraum, T9/Gr. Hörsaal, T9/SR 005 Übungsraum, T9/SR 006 Seminarraum
    

    Additional information / Pre-requisites

    Der Brückenkurs richtet sich an alle Studienanfänger in den Fächern Informatik und Bioinformatik.

    Comments

    Beginnst Du im Wintersemester Dein Studium an der FU Berlin? Ist Dein Studienfach Informatik oder Bioinformatik? Dann bist Du herzlich zu unserem Brückenkurs eingeladen! Der Brückenkurs findet in den letzten beiden Wochen vor Vorlesungsbeginn in zeitlicher Abstimmung mit den Orientierungswochen statt.

    Material zur Veranstaltung findest du auf der Webseite zum Brückenkurs.
    Infos findest du auch auf den Seiten des Studentischen Beratungszentrums, s. Seite zum Studienstart.

    Mathematisch-logisches Denken ist für das Lösen von Problemen der Informatik essentiell. Da hinsichtlich dieser Voraussetzungen in den letzten Jahren in den Informatik-Anfängervorlesungen einige Defizite deutlich wurden, werden im Rahmen des Brückenkurses die wichtigsten mathematischen Grundlagen wiederholt. Schwerpunkte sind: elementare Mengenlehre, Relationen und Funktionen, logische Grundlagen, Umgang mit mathematischen Formeln und das Verstehen von mathematischen Beweisen.

  • 19314012 Project Seminar
    Software Project: Semantic Technologies (Adrian Paschke)
    Schedule: Mi 14:00-16:00 (Class starts on: 2025-10-15)
    Location: A3/SR 115 (Arnimallee 3-5)
    

    Additional information / Pre-requisites

    Corporate Semantic Web

    Further information can be found on the course website

    Comments

    Mixed groups of master and bachelor students will either implement an independent project or are part of a larger project in the area of semantic technologies. They will gain in-depth programming knowledge about applications of semantic technologies and artificial intelligence techniques in the Corporate Semantic Web. They will practice teamwork and best practices in software development of large distributed systems and Semantic Web applications. The software project can be done in collaboration with an external partner from industry or standardization. It is possible to continue the project as bachelor or master thesis.

    Suggested reading

    Corporate Semantic Web

  • 19315030 Internship
    Schulpraktische Studien Informatik II: Teaching Training (Ralf Romeike)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    Target audience

    This course is aimed at master's students of computer science (teacher training related).

    Comments

    Courses of Computer Science Education are part of the German teacher-training and held in German only.

    Contents

    In the teaching internship, basic knowledge of educational science, psychology, social science and subject-related didactics, which has been taught in the bachelor's program as well as in the preparatory seminar, is translated into practical action.

    Subject-specific structuring, teaching sequences, introductions, motivation, interest, problem orientation, contextual reference, areas of competence and basic concepts of the educational standards, reflection, transfer, securing, documentation and assessment of learning development.

     

    Suggested reading

    Wird bekannt gegeben. / To be announced.

  • 19315120 Course
    Schulpraktische Studien Informatik III: Wrap-Up Seminar (Ralf Romeike)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    Target audience

    This course is suited for master's students of computer science (teacher training related).

     

    Participation requirements

    successful participation in preparatory seminar and teaching internship

    Comments

    Courses of Computer Science Education are part of the German teacher-training and held in German only.

    Contents

    This in-depth seminar offers the opportunity to reflect on the experiences from the teaching internship and to develop possible solutions for problematic teaching situations. Further teaching methods are being developed that enable independent, action-oriented and self-determined work. The students’ own attitudes towards school, the teaching profession and subject-specific teaching are to be critically reflected upon.

    The examination includes preparing a report in which the student reflects on selected topics of the preparatory seminar, the planning, implementation and evaluation of his/her own teaching.

    Suggested reading

    Wird bekannt gegeben. / To be announced.

  • 19315312 Project Seminar
    Software Project: Distributed Systems (Justus Purat)
    Schedule: Di 14:00-16:00 (Class starts on: 2025-10-14)
    Location: A7/SR 031 (Arnimallee 7)
    

    Comments

    The "Software Project: Distributed Systems" contains a range of topics from the research area of the working group: Dependable Distributed Systems. Goal of the course is to  completed a given project in a team through design, implementation and testing. 

    The software project is recognized in different modules. Please inform in advance if you are allowed to take the course in a module from your degree program.

    Topics this semester include likely:

    • Forest screening (in cooperation with the Geosciences Department of the Free University of Berlin)
      • Development of a dashboard to represent the data collection
      • Hardware revision of the transmission of sensor data from the forest via LoRa to a database
    • Implementation of a distributed ledger technology based on directed acyclic graphs
      • Development of an OMNeT++ simulation
      • Development of a Raspberry Pi simulation
    • Further development of an ad hoc network to deploy various web applications
      • In particular, the completion of a demonstrator (server-side) that shows the user interface for managing the ad hoc network
      • or the completion of a sample application that can be deployed in the ad hoc network
    • Load modeling and forecasting of the power consumption of AI data centers
      • Further information to follow

    (All topics mentioned are subject to further adjustments. Further details can be found in the introduction presentation in the resources section shortly.)

    Details will be discussed in the first session. The software project: distributed systems will be held in German or English, depending on the student requirements. The assignments and presentations can be submitted in either German or English.

  • 19315733 Professional Internship
    Internship in Industry (Daniel Göhring)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    at least six weeks (240 hours) outside the university

    Comments

    Contents

    Internships play an important role in the course of study in computer science and offer a perspective on possible future job opportunities for our students. The purpose of the internship is to get to know everyday life on the job and to apply the knowledge and skills acquired during the studies in practice.

    The classes that accompany the internship offer an opportunity for intense preparation and reflection. Students learn about the job market and about the application process and can share their practical experiences.

    Additionally, students learn to appreciate the soft skills necessary on the job, and to evaluate the relationship between a university education and on-the-job requirements.

    Suggested reading

    Exemplarische Praktikumsberichte sind beim Praktikumsbeauftragten einsehbar.

  • 19315970 Begrüßungs- und Abschlussveranstaltung
    Welcome for Undergraduate Students of Computer Sciences (Volker Roth, Lutz Prechelt)
    Schedule: Mo 13.10. 09:00-12:00 (Class starts on: 2025-10-13)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Additional information / Pre-requisites

    This event will take place once a semester.

    Comments

    see german text

  • 19319701 Lecture
    Scientific Work/Research in Computer Science (Claudia Müller-Birn)
    Schedule: Di 16:00-18:00 (Class starts on: 2025-10-14)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Comments

    The lecture introduces students to scientific work. The essential forms of written and oral knowledge representation are described. It explains how to write computer science texts and how to read and examine them. Furthermore, students will be introduced to legal, ethical and philosophical problems of the sciences and in particular of computer science. Furthermore, problems of gender and diversity in computer science and in lectures will be presented and solution strategies will be discussed.

  • 19320501 Lecture
    Quantenalgorithm and Cryptanalysis (Marian Margraf)
    Schedule: Di 10:00-12:00 (Class starts on: 2025-10-14)
    Location: A7/SR 140 Seminarraum (Hinterhaus) (Arnimallee 7)
    

    Comments

    The lecture aims at a deeper understanding of cryptographic algorithms, especially which design criteria have to be considered for the development of secure encryption algorithms. For that purpose we will get to know and evaluate different cryptanalytic methods for symmetrical and asymmetrical encryption techniques – e.g. linear and differential cryptanalysis on block ciphers, correlation attacks on stream ciphers and algorithms to solve the factorization problem and the discrete logarithm problem. Weaknesses in the implementation, e.g. to exploit side-channel attacks, will be discussed only peripherally.

  • 19320502 Practice seminar
    Practice seminar for Cryptanalysis (Marian Margraf)
    Schedule: Mi 12:00-14:00 (Class starts on: 2025-10-15)
    Location: T9/055 Seminarraum (Takustr. 9)
    
  • 19320701 Lecture
    Secure Software Engineering (Jörn Eichler)
    Schedule: Fr 10:00-12:00 (Class starts on: 2025-10-17)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    

    Additional information / Pre-requisites

    The goal of this lecture is to teach principles, methods and tools for the development of secure software applications. To this end, basic concepts are first introduced. This is followed by process models for developing secure software and evaluating the maturity of development processes. Along the phases or process groups of software development, central principles, methods and tools are then introduced and explained. Special attention is given to threat and risk analysis, security requirements, principles and patterns for designing secure software applications, secure and insecure software implementations, security tests and evaluation of the security properties of software applications.

    Comments

    Secure software engineering joins two important fields: Software engineering and information security. software engineering is the systematic use of principles, methods and tools to develop and deploy software. information security covers topics like confidentiality, integrity and availability of informations and data.

    Suggested reading

    - Claudia Eckert: IT-Sicherheit, 11. Auflage, De Gruyter Oldenbourg, 2023; - Ross Anderson: Security Engineering, 3. Auflage, Wiley, 2021. Weitere Literaturhinweise werden zu den einzelnen Themenblöcken bereitgestellt.

  • 19320702 Practice seminar
    Practice seminar for Secure Software Engineering (Jörn Eichler)
    Schedule: Fr 12:00-14:00 (Class starts on: 2025-10-17)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    
  • 19320811 Seminar
    Seminar: PQC - Selected Subjects of IT Security (Marian Margraf)
    Schedule: Di 14:00-16:00 (Class starts on: 2025-10-14)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Comments

    Selected subjects of IT security

    In summer 2018 the seminar will deal with quantum computer resistant cryptanalytics. In particular we will discuss selected chapters from "Post-Quantum Cryptography" by Daniel J. Bernstein, Johannes Buchmann and Erik Dahmen (Eds). Contents of the seminar are:

    • Abilities of quantum computers
    • Quantum algorithms
    • Cryptographic hash systems
    • Grid-based cryptography
    • Multivariate cryptography
    • Code-based cryptography
    • Cryptoanalysis of quantum computer resistant procedures

    Knowledge in the areas of IT security and cryptography is obligatory.

    Suggested reading

    Daniel J. Bernstein, Johannes Buchmann, Erik Dahmen (Eds.): Post-Quantum Cryptography.

  • 19322101 Lecture
    Concurrent, Parallel, and Distributed Programming (Claudia Müller-Birn, Barry Linnert)
    Schedule: Mi 10:00-12:00, Do 12:00-14:00 (Class starts on: 2025-10-15)
    Location: T9/Gr. Hörsaal (Takustr. 9)
    

    Comments

    Website: https://www.mi.fu-berlin.de/w/SE/VorlesungNichtseq_Vert_Prg2025

     

    Contents:

    Programming and synchronization of concurrent processes that share resources or interact through message passing.

    • Non-Sequential programs and processes in their various forms, non-determinism, determinism
    • Synchronization mechanisms: locks, monitors, guards, events, semaphores
    • Non-Sequential program execution and object oriented systems
    • Control flow, strategies selection, priorities, handling and avoiding deadlock
    • Coroutines implementation, 
    • - Multiprocessor systems
    • Programming and Synchronisation of concurrent processes that interact through message passing
    • Remote Calling Techniques
    • Client-server, Peer-to-peer Networks
    • Parallel computing over networks
    • Concurrent and coordination languages
    • Processing on the server and on the client.
    • Middleware, structured communication, static and dynamic interfaces
    • Event-based and stream-based processing
    • Security of network applications
    • Non-functional Aspects (time, memory, quality of service)

    Suggested reading

    Literature:

    • Principles of Concurrent and Distributed Programming. M. Ben-Ari. Addison-Wesley. 
    • Distributed Systems. Concepts and Design. Fifth Edition. George Coulouris, Jean Dollimore, Tim Kindberg, Gordon Blair. Pearson.

  • 19322102 Practice seminar
    Practice seminar for Concurrent and Distributed Programming (Barry Linnert)
    Schedule: Mo 10:00-12:00, Di 10:00-12:00, Di 14:00-16:00, Mi 12:00-14:00, Do 10:00-12:00, Do 14:00-16:00, Fr 12:00-14:00, Fr 16:00-18:00 (Class starts on: 2025-10-14)
    Location: T9/053 Seminarraum (Takustr. 9)
    
  • 19325620 Course
    Introduction Seminar for Teaching Assistants (Max Willert, Ulrike Bücking)
    Schedule: Termine siehe LV-Details (Class starts on: 2025-09-15)
    Location: , A3/ 024 Seminarraum , A3/019 Seminarraum
    

    Comments

    In this course future teaching assistants are been prepared for their work in the exercise courses. The following topics will be discussed:

    • techniques for the exercise course
    • activating and motivating students
    • types of preliminary discussing and debriefing of exercises
    • correcting exercises
    • converse with students and docents
    • self concept
    • gender & diversity
    • behaviour during exam supervision
    • dealing with sensitive data
    • introduction to KVV-system

  • 19327201 Lecture
    Data compression (Heiko Schwarz)
    Schedule: Mo 14:00-16:00 (Class starts on: 2025-10-13)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Comments

    Data compression is a technology, which only enables a variety of applications in our information age. Even though the underlying technology is often hidden from the end user, we use data compression every day when we hear music, watch images and videos, or use applications on our smartphone.

    In this course, the fundamental and most often used approaches for data compression are introduced.  We discuss theoretical foundations as well as methods used in practice.

    The first part of the course deals with lossless compression, in which the original data can be reconstructed exactly. This part includes the following topics:

    • Unique decodability and prefix codes
    • Entropy and entropy rate as theoretical limits of lossless compression
    • Optimal codes, Huffman codes
    • Arithmetic coding
    • Lempel-Ziv coding
    • Linear prediction
    • Examples from text, image and audio compression

    In the second part of the course, we consider lossy compression, by which only an approximation of the original data can be reconstructed. This type of compression enables much higher compression rates and is the dominant form of compression for audio, image and video data. The second part of the course includes the following topics:

    • Scalar quantization, optimal scalar quantization
    • Theoretical limits of lossy compression: Rate distortion functions
    • Vector quantization
    • Predictive quantization
    • Transform coding
    • Examples from audio, image, and video compression

    Suggested reading

    • Sayood, K. (2018), “Introduction to Data Compression,” Morgan Kaufmann, Cambridge, MA.
    • Cover, T. M. and Thomas, J. A. (2006), “Elements of Information Theory,” John Wiley & Sons, New York.
    • Gersho, A. and Gray, R. M. (1992), “Vector Quantization and Signal Compression,” Kluwer Academic Publishers, Boston, Dordrecht, London.
    • Jayant, N. S. and Noll, P. (1994), “Digital Coding of Waveforms,” Prentice-Hall, Englewood Cliffs, NJ, USA.
    • Wiegand, T. and Schwarz, H. (2010), “Source Coding: Part I of Fundamentals of Source and Video Coding,” Foundations and Trends in Signal Processing, vol. 4, no. 1-2.

  • 19327202 Practice seminar
    Practice seminar for Data Compression (Heiko Schwarz)
    Schedule: Mo 12:00-14:00 (Class starts on: 2025-10-13)
    Location: T9/046 Seminarraum (Takustr. 9)
    
  • 19328217 Seminar / Undergraduate Course
    Seminar/Proseminar: New Trends in Information Systems (Agnès Voisard)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/053 Seminarraum (Takustr. 9)
    

    Comments

    This seminar aims at studying recent trends in data management. Among others, we will look at two emerging topics, namely Location-Based Services (LBS) and Event-Based Services (EBS).

    Event-based Systems (EBS) are part of many current applications such as business activity monitoring, stock tickers, facility management, data streaming, or security. In the past years, the topic has gained increasing attention from both the industrial and the academic community. Current research concentrates of diverse aspects that range from event capture (incoming data) to response triggering. This seminar aims at studying some of the current trends in Event-based Systems with a strong focus on models and design. Location-based services are now often part of every day's life through applications such as navigation assistants in the public or private transportation domain. The underlying technology deals with many different aspects, such as location detection, information retrieval, or privacy. More recently, aspects such as user context and preferences were considered in order to send users more personalized information.

    A solid background in databases is required, typically a database course at a bachelor level.

    Suggested reading

    Wird bekannt gegeben.

  • 19328301 Lecture
    Data Visualization (Claudia Müller-Birn)
    Schedule: Di 12:00-14:00 (Class starts on: 2025-10-14)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Additional information / Pre-requisites

    Link to the course on the HCC-Website: https://www.mi.fu-berlin.de/en/inf/groups/hcc/teaching/winter_term_2025_26/course_data_visualization.html

    Comments

    The current rapid technological development requires the processing of large amounts of data of various kinds to make them usable by humans. This challenge affects many areas of life today, such as research, business, and politics. In these contexts, decision-makers use data visualizations to explain information and its relationships through graphical representations of data. This course aims to familiarize students with the principles, techniques, and methods in data visualization and provide practical skills for designing and implementing data visualizations.

    This course gives students a solid introduction to the fundamentals of data visualization with current insights from research and practice. By the end of the course, students will

    1. Be able to select and apply methods for designing visualizations based on a problem,
    2. know essential theoretical basics of visualization for graphical perception and cognition,
    3. know and be able to select visualization approaches and their advantages and disadvantages,
    4. be able to evaluate visualization solutions critically, and
    5. have acquired practical skills for implementing visualizations.

    This course is intended for students interested in using data visualization in their work and students who want to develop visualization software. Basic knowledge of programming (HTML, CSS, Javascript, Python) and data analysis (e.g., R) is helpful.

    In addition to participating in class discussions, students will complete several programming and data analysis assignments. In a mini-project, students work on a given problem. Finally, we expect students to document and present their assignments and mini-project in a reproducible manner.

    Please note that the course will focus on how data is visually coded and presented for analysis after the data structure and its content are known. We do not cover exploratory analysis methods for discovering insights in data are not the focus of the course.

    Suggested reading

    Textbook

    Munzner, Tamara. Visualization analysis and design. AK Peters/CRC Press, 2014.

    Additional Literature

    Kirk, Andy: Data visualisation: A handbook for data driven design. Sage. 2016.

    Yau, Nathan: Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. Wiley Publishing, Inc. 2011.

    Spence, Robert: Information Visualization: Design for Interaction. Pearson. 2007.

  • 19328302 Practice seminar
    Data Visualization (Malte Heiser)
    Schedule: Do 10:00-12:00 (Class starts on: 2025-10-16)
    Location: T9/053 Seminarraum (Takustr. 9)
    
  • 19328601 Lecture
    Kryptowährungen und Blockchain (Katinka Wolter)
    Schedule: Di 12:00-14:00 (Class starts on: 2025-10-14)
    Location: , T9/051 Seminarraum
    

    Comments

    We will study the history, technology and applications of cryptocurrencies and blockchain.

    Suggested reading

    Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction, by Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder

  • 19328602 Practice seminar
    Practice Session on Cryptocurrencies (Justus Purat)
    Schedule: Do 10:00-12:00 (Class starts on: 2025-10-16)
    Location: T9/051 Seminarraum (Takustr. 9)
    
  • 19329617 Seminar / Undergraduate Course
    Seminar/Proseminar: Telematics (Jochen Schiller)
    Schedule: Termine siehe LV-Details (Class starts on: 2026-02-09)
    Location: T9/049 Seminarraum (Takustr. 9)
    

    Comments

    This seminar focuses on several aspects of technical Computer Science. At the start of the seminar you will receive a list of suggested topics. You are also very welcome to suggest your own research topic that is closely related to technical Computer Science. You can work on your topic exclusively or in a small group of 2-3 students. But then, it has to be apparent who contributed what part to the seminar paper.

     

     

  • 19329912 Project Seminar
    Softwareprojekt: Secure Identity (Volker Roth)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: , T9/SR 006 Seminarraum
    
  • 19330212 Project Seminar
    Seminar: Introduction to Profile Areas Data Science (Katinka Wolter)
    Schedule: Fr 16:00-18:00 (Class starts on: 2025-10-31)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    
  • 19330252 RV
    Introduction to Profile Areas Data Science (Katinka Wolter)
    Schedule: Fr 14:00-16:00 (Class starts on: 2025-10-31)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    
  • 19330313 Lab Seminar
    Programming for Data Science (Sandro Andreotti)
    Schedule: Di 12:00-16:00 (Class starts on: 2025-10-14)
    Location: KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)
    

    Comments

    Qualifikationsziele

    Die Studentinnen und Studenten haben ein tieferes Verständnis für Konzepte in der Programmierung mit einer höheren Programmiersprache (z. B. C/C++, Java oder Python).

    Inhalte:

    Einführung in verschiedene Arten von Programmiertechniken.

  • 19330401 Lecture
    Statistics for Data Science (Guilherme de Lima Feltes)
    Schedule: Mo 10:00-12:00 (Class starts on: 2025-10-20)
    Location: A6/SR 032 Seminarraum (Arnimallee 6)
    

    Comments

    This course serves as an introduction to foundational aspects of modern statistical data analysis. Frequentist and Bayesian inference are presented from the perspective of probabilistic modelling.

    Detailed Information can be found on the Homepage of 19330401 Statistics for Data Science

    https://www.mi.fu-berlin.de/math/groups/stoch/teaching/2025ws_Statistics-Data-Sci.html

     

  • 19330402 Practice seminar
    Practice Seminar Statistics for Data Sci (Guilherme de Lima Feltes)
    Schedule: Di 10:00-12:00 (Class starts on: 2025-10-14)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    
  • 19330811 Seminar
    Seminar: digi4all (Ralf Romeike)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    Target audience

    The digi4all seminar is open to anyone who wishes to acquire competencies for teaching and learning under the conditions of digitization in a self-determined way and who would like to get a comprehensive view of the opportunities and challenges of digitization for the education system.

    Comments

    Contents

    All subjects and their disciplines are experiencing strong changes due to digitalization. Therefore, students acquire comprehensive digital basic, application and reflection competencies within this course: they learn to deal with digital systems in a self-determined manner, to understand and explain them and to evaluate them with regard to interactions with individuals, society and the education system. Concepts for transferring what has been learned to teaching-learning processes establish the theoretically substantiated practical reference and enable adequate use of digital media as well as the design of contemporary teaching under the conditions of digitality.

    Seminar information

    digi4all takes place online and independent of time.

    Suggested reading

    Wird zu Beginn des Semesters bekannt gegeben. / To be announced at the beginning of the semester.

  • 19332512 Project Seminar
    Softwareprojekt: Applying LLMs in Healthcare (Malte Heiser)
    Schedule: Di 10:00-12:00 (Class starts on: 2025-10-14)
    Location: , Virtueller Raum 35
    

    Additional information / Pre-requisites

    The seminar will take place at Königin-Luise-Straße 24/26, room 111.

    Link to the software project on the HCC-Website: https://www.mi.fu-berlin.de/en/inf/groups/hcc/teaching/winter_term_2025_26/swp_applying_llms_in_healthcare.html

    Comments

    In this software project, students collaboratively develop an application based on a Large Language Model (LLM) for patients in the context of an emergency department. The core focus is on enabling patients to feel emotionally informed while they wait, with the goal of empower them to reflect on their symptoms independently.   This real-world problem is used as a foundation to build a functional LLM-based application while fostering interdisciplinary thinking, technical creativity, and the ability to work effectively in agile teams. The project is structured around the Scrum framework and offers students the opportunity to gain practical development experience. Students apply agile principles to organize the development process iteratively and collaboratively — from requirements analysis through planning and implementation to final reflection.   This allows them to strengthen their communication skills, tackle problems and tasks in a complex environment, and advance their technical competencies. Weekly sessions throughout the semester provide a space for students to shape the process and discuss their progress. We are available as advisors and mentors to support them and provide all necessary methods and competencies as needed.

    Suggested reading

    Literature, materials and equipment will be provided during the event.

  • 19334212 Project Seminar
    Software Project: Machine Learning for data from the life sciences (Pascal Iversen, Katharina Baum)
    Schedule: Di 16:00-18:00 (Class starts on: 2025-10-14)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Comments

    In this software project, we will work with various ML-based methods for predictions for specific questions from biology, such as predicting the effect of drugs or the development of infection numbers. The focus of the project is explicitly on the development, implementation and evaluation of the methodological framework and less on the preparation of the data.

    The programming language is Python, and we plan to use modern Python modules for ML such as PyTorch or possibly JAX. Good knowledge of Python is a prerequisite. The software project takes place during the semester and can also be carried out in English.

  • 19334301 Lecture
    Advanced Robotics (Daniel Göhring)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/046 Seminarraum (Takustr. 9)
    

    Comments

    The lecture "Advanced Robotics" complements the lecture "Introduction to Robotics" and is for students who are familiar with basic concepts of robotics and the robot operating system ROS. Algorithms will be implemented in ROS using real data from autonomous vehicles and via written examples.

    The following topics will be covered (variations are possible):

    • Coordinate Systems, Representations, Kinematic Chains
    • Denavit Hartenberg 
    • Jacobian Matrix and Inverse Kinematics
    • Particle Filters
    • Simultaneous localization and mapping
    • Splines
    • Hierarchical Planning
    • ARA, D*, probabilistic planners
    • Reinforcement Learning
    • Model Predictive Control
    • Stereo Matching with SIFT-Features and Ransac 
    • Semi-global Matching
    • Visual Odometry / Optical Flow

  • 19334302 Practice seminar
    Practice Seminar for Advanced Robotics (Daniel Göhring)
    Schedule: Do 12:00-14:00 (Class starts on: 2025-10-16)
    Location: A6/SR 025/026 Seminarraum (Arnimallee 6)
    
  • 19334412 Project Seminar
    SWP: Future Security Lab (Marius Max Wawerek)
    Schedule: Mo 10:00-12:00 (Class starts on: 2025-10-13)
    Location: T9/K63 Hardwarepraktikum (Takustr. 9)
    

    Comments

    The BeLIFE project, part of the working group Telematics & Computer Systems, focuses on improving knowledge transfer and communication in civil security research. A central component of the project is the Future Security Lab, located at the Einstein Center Digital Future (ECDF) in Mitte. The lab welcomes politicians from federal and state levels, as well as representatives from authorities and organizations with security responsibilities.

    Within the software project, students develop concepts to optimize and creatively enhance the existing technical infrastructure of the space. The goal is to increase the usability of the space for scientists and improve the user experience for visitors. To achieve this, the software project consists of several sub-areas, either arising from a specific problem to be solved or requiring creative approaches and ingenuity. Tasks include system administration, interface development, as well as light/sound installation and orchestration.

    The tasks are exclusively addressed in small groups (3-5 students). Collaboration and code availability are facilitated through the department's own GitLab. Results should be well-documented, for example, through README files in Git and a well-structured wiki. Modularity and expandability of the developed code, along with thorough documentation, are crucial for the success of this software project!

    Regarding the process, this software project takes place throughout the semester. There are a few mandatory large group meetings with all participants. In addition, there are short weekly meetings where at least one group member reports on the current status. The first date will take place at Takustraße 9. At this event, the solutions already implemented will be presented in theory and the problems addressed. A live demo will then take place one week later in Berlin Mitte at the Future Security Lab, Wilhelmstr. 67, 10117 Berlin. 

    Afterwards, there are a total of three presentation dates: the presentation of an initial approach to problem-solving,  a brief interim presentation, and the final presentation.

    Students also regularly have the opportunity to work in the Future Security Lab premises, familiarize themselves with the equipment, and conduct tests.

     

  • 19334617 Seminar / Undergraduate Course
    Seminar/Proseminar: Multi-Agent Reinforcement Learning (Tim Landgraf)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/049 Seminarraum (Takustr. 9)
    
  • 19334806 Seminar-style instruction
    Project management in agile environments part 1 (Lutz Prechelt, Matthias Horn)
    Schedule: Mo 08:00-10:00, Fr 16:00-18:00 (Class starts on: 2025-10-13)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Comments

    Goals: The students understand several different models of scaled agile software development, that is, agile development encompassing multiple cooperating teams. They understand basic and intermediate methods of hybrid, predictive, and adaptive project management in such agile environments and are able to apply them. They can design a project plan and validate it with suitable methods. They can participate in the project management team of such a hybrid effort and take responsibility for substantial parts of the project management, including managing staff. They can lead a simple project alone.

  • 19335011 Seminar
    Seminar: Networks, dynamic models and ML for data integration in the life sciences (Katharina Baum, Pascal Iversen)
    Schedule: Di 14:00-16:00 (Class starts on: 2025-09-30)
    Location: T9/K40 Multimediaraum (Takustr. 9)
    

    Comments

    Research seminar of the group Data Integration in the Life Sciences (DILiS). Also open for seminar participation in the Master's program, online participation possible. Please refer to the current schedule on the whiteboard!

    The seminar offers space for the discussion of advanced and integrative data analysis techniques, in particular presentations and discussion of ongoing or planned research projects, news from conferences, review and discussion of current literature and discussion of possible future teaching formats and content, and presentations, as well as final presentations on theses or project seminars. The seminar language is mostly English. Interested students are welcome to attend and drop in without obligation or present a topic of their own choice of interest to the working group as in a usual seminar. Please note: Individual dates may be canceled or postponed. Please contact me in case of questions (katharina.baum@fu-berlin.de)!

  • 19335201 Lecture
    Cybersecurity and AI III (Gerhard Wunder)
    Schedule: Di 12:00-14:00 (Class starts on: 2025-10-14)
    Location: T9/053 Seminarraum (Takustr. 9)
    
  • 19335202 Practice seminar
    Practice seminar for Cybersecurity and AI III (Gerhard Wunder)
    Schedule: Fr 12:00-14:00 (Class starts on: 2025-10-17)
    Location: A7/SR 031 (Arnimallee 7)
    
  • 19335520 Course
    C Programming (Larissa Groth, Robert Clausecker)
    Schedule: Termine siehe LV-Details (Class starts on: 2026-03-09)
    Location: T9/K38 Rechnerpoolraum (Takustr. 9)
    

    Comments

    The aim of this course is to provide participants with an introduction to C programming and lay the foundations for using this programming language in their further studies. In the course, participants will be taught basic knowledge of programming in the C language with a focus on hardware-level understanding. The course begins by covering the fundamentals of syntax and the integration of program flows into the overall operating system. Building on this, participants will acquire knowledge of classical structured programming to elegantly solve more complex tasks in this programming language. In the final part of the course, participants will develop a game as a project, and its presentation will serve as the assessment for the course. Upon completing the course, participants should have acquired the following competencies:

    • Structure of a C program: functions, statements, blocks, declarations, keywords, etc.

    • Error handling, integration of external code

    • Design and conception: How to develop in a structured manner, how to go from idea to implementation?

    • Object-oriented programming in C: tables of function pointers, inheritance through structure embedding, dynamic dispatch with V-Tables

    • Reading specifications, build scripting with make and Makefiles

  • 19335804 PC-based Seminar
    Programming Lab (Lutz Prechelt)
    Schedule: Mo 16:00-18:00, Di 16:00-18:00, Mi 16:00-18:00, Do 16:00-18:00, Fr 16:00-18:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-13)
    Location: T9/K48 Rechnerpoolraum (Takustr. 9)
    

    Comments

    Students work on many small practical learning tasks. They can choose these from a large set of candidate tasks in various topic areas, such as:

    • Programming languages
    • Selection and use of libraries
    • Databases and SQL
    • Automated tests
    • Debugging,
    • Working with existing code
    • Web development
    • Working with tools such as version management, package management, IDEs, testing tools etc..

    The material has enormously high relevance for building professional software development skills.
    Work is mostly done in pairs, to help with reflection and for overcoming roadblocks.

  • 19336201 Lecture
    Machine Learning (Gerhard Wunder)
    Schedule: Mi 12:00-14:00 (Class starts on: 2025-10-15)
    Location: T9/SR 006 Seminarraum (Takustr. 9)
    

    Comments

    Qualifikationsziele: Die Studierenden lernen Formen der Datenrepräsentation und deren Visualisierung, können Abhängigkeiten aufzeigen und wenden Verfahren für Dimensionsreduktion und Datenvorverarbeitung an. Sie lernen die Grundbegriffe und Prinzipien des maschinellen Lernens, können Zielkriterien formulieren, benennen Eigenschaften von Optimierungsproblemen und können algorithmische Ansätze zur Lösung umsetzen. Sie können unterschiedlichste Lernverfahren zur Regression, Klassifikation und Entscheidungsfindung einordnen und umsetzen. Sie lernen die Grundstrukturen und Architekturen von neuronalen Netzen und deren vielfältige Einsatzgebiete. Sie können algorithmisch Lösungen für eine gegebene Problemstellung umsetzen und evaluieren.

    Inhalte: Die Studierenden erlernen die Grundlagen des maschinellen Lernens, der Lerntheorie, der Generalisierung und PAC. Sie erarbeiten ebenfalls die Grundlagen der konvexen Optimierung (z. B. Subgradient Methode), des Stochastischen Gradientenabstieg, der Regularisierung und Konvergenz. Sie üben Verfahren des Supervised Learning (z. B. Linear Regression, SVM, Kernel-Trick), des Unsupervised Learning (z. B. Clustering, Decision Trees, Matrix Decomposition, wie PCA) und des Dictionary Learning. Des Weiteren erlernen Studierende die Grundlagen der Künstliche Neuronale Netze (KNN), indem mögliche Architekturen und das Konzept der Backpropagation erarbeitet werden. Darüber hinaus setzen sich Studierende mit den Aspekten der Evaluierung (Crossvalidation, Hyper-Parameter-Tuning usw.) auseinande

  • 19336202 Practice seminar
    Übung zu Maschinelles Lernen (Gerhard Wunder)
    Schedule: Mo 14:00-16:00 (Class starts on: 2025-10-20)
    Location: , T9/SR 006 Seminarraum
    
  • 19336311 Seminar
    Domain-Specific AI and Customization (Georges Hattab)
    Schedule: Mi 14:00-16:00 (Class starts on: 2025-10-15)
    Location: KöLu24-26/SR 017 (vorrang Schülerlabor) (Königin-Luise-Str. 24 / 26)
    

    Comments

    There is a growing trend in AI toward developing specialized models for specific industries or tasks. This shift moves away from relying solely on general-purpose models, such as GPT-4. These tailored models can provide better performance and more relevant results for specific needs. However, this approach brings challenges as well, such as increased data requirements and diminishing returns from using ever-larger datasets.

  • 19337001 Lecture
    Mathematics for Computer Science Teachers (Max Willert)
    Schedule: Mo 16:00-18:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-13)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    

    Comments

    Qualification objectives: Students formulate³ statements formally using propositional and predicate logic. They analyze⁴ and simplify³ the logical structure of given statements and describe⁴ the logical structure of proofs. They name properties of different sets, relations and functions and justify⁴ these with the help of formal arguments. They can develop proofs for elementary statements using elementary proof techniques⁵ and determine the cardinality of sets using combinatorial techniques as well as probabilities of random events³.

    Contents: Students learn basic concepts of set theory, logic and combinatorics and practise their application. They work on sets, relations and functions in set theory. In the field of logic and Boolean algebra, they learn aspects of propositional logic and predicate logic. In the field of combinatorics, they learn about factorials and binomial coefficients. They also learn elementary proof techniques and basic aspects of discrete probability theory. Finally, formal languages are used as examples for modeling. Most of these concepts are practiced on calculation or proof problems.

    Suggested reading

    • Kenneth H. Rosen. Discrete Mathematics and its Applications, McGaw-Hill Education, 8. Auflage, 2018.
    • Gerald Teschl und Susanne Teschl. Mathematik für Informatiker - Band 1: Diskrete Mathematik und Lineare Algebra, Springer Vieweg, 4. Auflage, Berlin Heidelberg 2013.

  • 19337002 Practice seminar
    Mathematics for Computer Science Teachers (Exercises) (Max Willert)
    Schedule: Mi 16:00-18:00, zusätzliche Termine siehe LV-Details (Class starts on: 2025-10-13)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    
  • 19337211 Seminar
    Representation Learning (Georges Hattab)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: A3/019 Seminarraum (Arnimallee 3-5)
    

    Comments

    While traditional feature engineering has been successful, modern machine learning increasingly relies on representation learning - automatically discovering informative features or representations from raw data. This seminar dives into advanced neural network-based approaches that learn dense vector representations capturing the underlying explanatory factors in complex, high-dimensional datasets.

     

    The seminar will cover techniques like autoencoders, variational autoencoders, and self-supervised contrastive learning methods that leverage unlabeled data to learn rich representations. You'll learn about properties of effective learned representations like preserving locality, handling sparse inputs, and disentangling underlying factors. Case studies demonstrate how representation learning enables breakthrough performance on tasks like image recognition and natural language understanding. You'll gain insights into interpreting these learned representations as well as their potential and limitations.

  • 19337401 Lecture
    Post Quantum Cryptography - the NIST algorithms (N.N.)
    Schedule: Mi 10:00-12:00 (Class starts on: 2025-10-15)
    Location: T9/SR 005 Übungsraum (Takustr. 9)
    

    Comments

    Post Quantum Cryptography - the NIST algorithms

    Course description:
    This course provides an in-depth study of the post-quantum cryptographic algorithms selected and evaluated by NIST. Students will explore the foundational mathematics, security assumptions, algorithmic designs, and practical implementation issues of cryptographic systems believed to be secure against quantum adversaries. Emphasis is placed on NIST's selected algorithms: KYBER (KEM), DILITHIUM (signatures), and SPHINCS+(stateless signatures), as well as alternate schemes such as Classic McEliece, BIKE, HQC, and Falcon.

    Learning Objectives:
    By the end of this course, students will be able to:

    • Describe the threat quantum computing poses to classical cryptography.
    • Explain the design principles of hash-based, code-based, multivariate, and lattice-based cryptography.
    • Analyze the security assumptions behind each NIST PQC algorithm family.
    • Compare performance and implementation trade-offs among leading PQC schemes.
    • Evaluate real-world deployment strategies and limitations for PQC.

     

  • 19337402 Practice seminar
    Tutorials for Post Quantum Cryptography - the NIST algorithms (N.N.)
    Schedule: Fr 08:00-10:00 (Class starts on: 2025-10-17)
    Location: T9/051 Seminarraum (Takustr. 9)
    
  • 19337711 Seminar
    Competencies for the AI age - Artificial Intelligence Across Domains (Ralf Romeike)
    Schedule: -
    Location: keine Angabe
    

    Additional information / Pre-requisites

    Course in the ABV area, exclusively for students who are not enrolled in a computer science degree program.

    This course is taught asynchronously in e-learning format. A teaching module is activated every week. The tasks are completed at your own pace, whereby certain deadlines must be met.

    However, the first and last sessions take place synchronously. The synchronous sessions take place either in presence in room 016, Königin-Luise-Str. 24-26 or via WebEx. You will receive the corresponding information by e-mail at the beginning of the course.

    
    Examination performance: Participants will prepare a written paper (approx. 4 pages) within 14 days of the end of the module. You will receive 5 credit points if you pass the course and actively participate (participation in discussions, group work, e-learning, presentation).

    Registration takes place via the ABV area:

    https://abz.zedat.fu-berlin.de

    Further information on registration can be found here: http://www.zedat.fu-berlin.de/Schulung/ABV-Module

    Comments

     Competencies for the AI age - Artificial Intelligence Across Domains

    In view of the enormous progress in the field of artificial intelligence and its growing influence on content, methods and tools in almost all disciplines, it is crucial for future professionals to acquire AI skills in order to be able to work effectively and responsibly in this new phase of digital transformation. The online-supported module “AI Across Domains” is therefore aimed at bachelor's students at Freie Universität Berlin who want to acquire AI skills for their professional activities, in which AI applications are becoming increasingly important. The aim of the module is also to provide a comprehensive overview of the opportunities and challenges that arise for society and the disciplines through the development of the AI field. Therefore, as part of the module, students will acquire skills related to the technological perspective of AI (How does AI work?), the applied perspective of AI (How can I use AI in my field?) and the social perspective of AI (What impact does AI have on my field and society?). AI Across Domains modules are interdisciplinary and therefore suitable for students from all disciplines. Within the individual areas, references to the individual disciplines are continuously highlighted, reflected upon and deepened. The module is interactive, collaborative and creative, with tasks and content designed to ensure continuous motivation and sustainable learning success. In a final project phase, students have the opportunity to put the AI knowledge, skills and abilities acquired during the module into practice.