General course objectives:
To know, apply, analyze, and design algorithms for massive data sets using state-of-the-art algorithmic techniques in the area.
Learning objectives:
A student who has met the objectives of the course will be able to:
•Describe an algorithm in a comprehensible manner, i.e., accurately, concise, and unambiguous.
•Prove correctness of algorithms.
•Analyze, evaluate, and compare the performance of algorithms in models of computation relevant to massive data sets.
•Analyze, evaluate, and compare the quality and reliability of solutions.
•Apply and extend relevant algorithmic techniques for massive data sets.
•Design algorithms for problems related to massive data sets.
•Lookup and apply relevant research literature for problems related to massive data sets.
•Systematically identify and analyze problems and make informed choices for solving the problems based on the analysis.
•Argue clearly for the choices made when solving a problem.
See: http://www.kurser.dtu.dk/02283.aspx?menulanguage=en-gb for more info.
