Institution Department of Computer Science, Hamburg University of Applied Sciences
Degree program B.Sc. Applied Computer Science (B-AI)
Semester Winter semester 2010/11
Course Graph Theory (GKA)
Course type lecture and practical training
Lecturer Prof. Dr. Julia Padberg
Topics
  • Graphs: (un-)directed, mixed, weighted, simple, complete, multi-, sub-, induced, conflict, bipartite, planar
  • Isomorphism, degree, adjacency matrixes, adjacency lists, incidence matrixes
  • Paths, cycles, connected components, cut, big O notation
  • Shortest paths: breadth-first search, Dijkstra's algorithm, A*-algorithm
  • Vertex coloring: chromatic number, greedy coloring, ColorFirst algorithm, breadth-first search
  • Trees, Forests, rootet trees, binary trees, search trees, AVL trees, minimum spanning tree, Kruskal's algorithm
  • Networks, flow networks, maximum flows, Ford-Fulkerson algorithm
  • Matchings, eulerian tour/cycle, Fleury's algorithm, Hamiltonian paths/cycles, travelling salesman problem
  • Graph transformation systems, graph grammars, graph homomorphisms, composition, examples: flowcharts, Turing machines
  • Petri nets: place/transition nets, P/T nets with capacities, condition/event nets
Languages Java
Technologies JUnit, SVN, GNU Savannah
IDE Eclipse
ECTS Credit Points 6
Examination type written test
Grade(s) 9 LP (3+)

Robin C. Ladiges / B-AI / GKA

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