Fundamentals of Algorithms and Data Structures

News

• Information regarding the exam review of the repeat exam are available (see German website).
• The results of the repeat exam are available (see German website).
• New information regarding the exam review are available (see German website).
• New information regarding the results of the exam as well as the exam review are available (see German website).
• New information for the exam are available (see German website).
• The deadline of the registration for the exam is Saturday, 30. June.
• There will be no lecture on Thursday, 7. June (holiday).
• New information regarding the exam is available (see German website).
• There will be no lecture on Tuesday, 29. May (holiday).
• There will be no lecture on Thursday, 17. May (holiday).
• There will be no video broadcast of the lecture on Thursday, 3. May. Therefore, the lecture will take place in HS 1 only.

Lecture

• Lecturer:
  Dr. Hanjo Täubig
  
• Module: IN0007, TUMonline
• Adience:
  Students in Bachelor of Science in Computer Science (compulsory course)
  Students in Bachelor of Science in Business Informatics (compulsory course)
  Students in Bachelor of Science in Bioinformatics (compulsory course)
  Students in Bachelor of Science in Computer Science: Games Engineering (compulsory course)
  Students with minor subject Computer Science
  Students in Master of Applied Computer Science
  Students in Postgraduate Studies of Computer Science
• Time and Place:
  Tuesday, 14:15–15:45, lecture hall MI HS 1 (Video broadcast in Interimshörsaal 1)
  Thursday, 12:00–13:00, lecture hall MI HS 1 (Video broadcast in Interimshörsaal 1)
  
• Exercises:
  2 hours per week exercises accompanying the lecture
  Teaching assistant: Jeremias Weihmann
• ECTS: 6 credits
• Prerequisits:
  Basic knowledge in computer science
• Recommended for:
  Fundamental knowledge in topic Algorithms and Data Structures
• Exams:
  See here for more information.
• Contents: The lectures are planned to deal in particular with the following topics:
  1. Foundations
  2. Basic data structures
  3. Advanced data structures
  4. Sorting and selecting
  5. Algorithms on graphs
  6. Algorithms on texts
  7. Data compression
• Related and advanced lectures:
  Efficient algorithms and data structures
• Slides
• Recordings:
  Lecture recordings can be found in the archive of the TeleTeaching Tool.
  For the content of the lecture of the 19th July 2012 see recordings of the 26th and 28th July 2011.

References