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Institut für Informatik Freie Universität Berlin - Computer Science at FU Berlin -

Institut für Informatik Freie Universität Berlin - Computer Science at FU Berlin -. Studying Computer Science @ FUB. Diplom Informatik (900 students) 5 years 4 semesters undergraduate 4 semesters graduate studies diploma thesis Bachelor / Master ( ~ 100) 3 years Bachelor

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Institut für Informatik Freie Universität Berlin - Computer Science at FU Berlin -

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  1. Institut für Informatik Freie Universität Berlin- Computer Science at FU Berlin -

  2. Studying Computer Science @ FUB Diplom Informatik (900 students) • 5 years • 4 semesters undergraduate • 4 semesters graduate studies • diploma thesis Bachelor / Master ( ~ 100) • 3 years Bachelor • 2 years Master

  3. Studying Computer Science @ FUB PhD programs • Graduate Schools togetherwith BerlinTechnical Universityand Humboldt Univ. Berlin • PhD s typically membersof research projects("research assistants") • 5 – 10 per year

  4. Computer Science @ FUB • Located in the campus for natural science at FUB- Physics, Chemistry, Biology - • Part of the Mathematics and Computer Science faculty • Related to the Computer and Information TechnologyResearch Center (ZIB)

  5. Computer Science @ FUB 900 CS students 130 bio-Computing students 11 professors 24 assistants 50 teaching assistants(students) ~ 300 Computers (PC / Windows / Linux , Sun Solaris, Local Area net, WaveLan)

  6. Computer Science @ FUB • Working Groups of CS @ FUB • Bioinformatics • CS in Education and Society • Databases and Information Systems • Artificial Intelligence • CS applications in medical Science • Netbased Information Systems • Programming Languages • Software Engineering • Distributed Systems • Technical CS (Telematics) • Theoretical Computer Science

  7. Algorithms in Bioinformatics Bioinformatics: development and application of methods and tools of Computer Science on biological issues e.g. Interpretation of Mass-spectrometrical measuring data for protein regulation ???

  8. Algorithms in Bioinformatics At the interface of Biology/Chemistry/Medicine/ Computer Science and Mathematics • Concrete Questions: • Pattern Matching in Blood count • Similarities of Humans and Mice (and Dogs and …) • Develop Algorithms, which are able to scan Terabyte f Data fast.

  9. 160 GB disk / 300 $ 100 million books (400 pages each, 2 KB / page) Much cheaper than paper! A database Databases and Informationsystems DB and IS deals with Gathering, Storing and Selecting Data (Informations)

  10. An Example: Saving Videos and searcing for Scenes Find all Musicvideos with Eminem Find all Scenes with Sunset Databases and Informationsystems • Applications: • Public Transport (find train connections), • Airlines (book Tickets), • Online-Shops (buy Books and CDs), • Search engines (e.g. Google), • peer-to-peer applications (mp3 auf Gnutella, KaZaA)

  11. Approximative Matching of XML Data Q3 Q1 Data tree Q2 Document1 Query closure Introduction Query and Data Modeling Semantics and Eval Schema based Eval Conclusion

  12. Artificial Intelligence Artificial intelligence deals with problems, which are - hard to solve for a computers, - easily solved by humans (because humans are intelligent – in most case :) Examples: Face Recognition Speech Recognition Agility

  13. Robotics: AI with mechanic body Interdisciplinary: - Mechanics - electronics • algorithms • communication. Application: - robot soccer Questions: • How does a robot recognize Objects on the field? • Which is the ideal route he should take? • Which actions should the robot perform?

  14. Programing Languages • There are various kinds of programs: • Programs prescripe the way how to perform calculations. • A variety of programs can be formed by concatenation of computer instructions . • Programs are parts of huge EDV-Systems. • Programs are written using programming languages. There are various kinds of programming languages, each focused on another range of problems. • Programming is mathematically exacting. • Programming is an engineers job.

  15. Programming Languages (Part 2) • How can programs get created more efficiently and secure ? • How can one avoid coding errors, or how can they be found automatically ? • How may properties of programs get verified ? • Which tools takes it to simplify the process of programming ?

  16. Distributed Systems How to build a big software system out of existing components – with low effort ? (" reuse components") Languages, methods and tools for simplifying the development of distributed compter systems? • Visualisation and animation of programs

  17. System Software: Operating Systems and Middleware Distributed Application Middleware (CORBA, .NET, ...) . . . . . Linux Windows MacOS • Abstraction of distributed application parts, i.e. procedure remote calls •  Tools and infrastructure for distributed systems •  concurrent computing in the net •  component based spreaded systems •  Netsecurity access control

  18. Theoretical Computer Science Geometrical Methods in the Astronautics Focus: geometric and combinatorial Algorithms • Identification of the position and orientation of the satellite Tubsat (Techn. Univ. Berlin) using an onboard camera, that records constellations, which is then transfered to the home base. • The position and orientation of the satellite are found by mapping the pictures into an electronic celestial map and calculating the satellites distance.

  19. Theoretical Computer Science Extracted pattern Record of the satellite

  20. Theoretical Computer Science Locatedconstellation

  21. CS in Education and Society How is Computer Science related to Education and Society? • Good teachers needed for Computer Science as school subject • Necessary: Didactics and new Methods of Teaching • Support of Living and Learning, e.g. by using of internet • Effects on Society, e.g. new professions and computer support at work.

  22. New Teaching Methods • Pupils from Japan and Deutschland are learning together via E-Mail, internet and video meetings

  23. New Teaching Methods • Pupils design artificial kaleidoscopes and learn geometry

  24. New Teaching Methods • E-Learning e.g. teams of pupils or students are working in projects and get support and advice over the internet

  25. Technical Computer Science and Mobile Communications Computers • get continuously smaller, • are hidden in items or environment, • communicate with each other, • outnumber humans, • haven`t to be PCs! sound motion radio vibration infrared Sensor for environmental data capturing

  26. Technical Computer Science and Mobile Communications Challenges: • Adaption to many different scenarios • Possibility of controlling many computers • Mobile internet • Automatical interconnection

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