ALGORITHMS AND DATA STRUCTURES
 
Lectured in 4th year Computer science
Theory [A] 25.0
Exercises [B] 50.0
Training and projects [C] 0.0
Studytime [D] 200
Studypoints [E] 7
Level  
Language of instruction Dutch
Lecturer Rudy STOOP
Reference IIINFO04A04032
 
Key words


Objectives
To gain insight in solution methods for complex problems, graphs, computatonial geometry, combinatorial search and game strategies.


Topics
A survey of classical graph algorithms : depth and breadth first search, minimal spanning tree, shortest distances, acyclic graphs, flow networks and matching.

Introduction to computatonial geometry: basic techniques, convex hull, proximity, point location, geometric search, line segment intersection.

Introduction to combinatorial search and game strategies, backtracking, branch-and-bound, minimax, a-b pruning.

Prerequisites


Final Objectives


Materials used
Handouts

Study costs


Study guidance


Teaching Methods
Lectures

Assessment


Lecturer(s)
Jan CNOPS - Helga NAESSENS - Wijnand SCHEPENS - Rudy STOOP