IT-Universitetet i København
 
  Tilbage Kursusoversigt
Kursusbeskrivelse
Kursusnavn (dansk):Algoritmer og datastrukturer 
Kursusnavn (engelsk):Algorithms and Data Structures 
Semester:Forår 2010 
Udbydes under:Bachelor i softwareudvikling (bswu) 
Omfang i ECTS:7,50 
Kursussprog:Engelsk 
Kursushjemmeside:https://learnit.itu.dk 
Min. antal deltagere:0 
Forventet antal deltagere:45 
Maks. antal deltagere:45 
Formelle forudsætninger:Basic ability to program in some imperative programming language (Java, Python, C/C++/C#, etc.), using conditions, loops, arrays, methods/procedures/functions, simple recursion and abstract data types (interfaces).
This is normally obtained by following the first semester undergraduate course Grundlæggende Programmering (GPP).

Knowledge of basic mathematical concepts like: sets, functions, graphs, and trees, arithmetic and geometric series. You are expected to know this from your high school education.
We will make up for any lacks in that respect on the way. 
Læringsmål:After the course the student should be able to:

  • Discuss and clearly explain the mechanics of computations and data structures involving manipulation of references, nested loops and recursion, specified in natural language, in abstract pseudocode or in concrete programming language (Java).

  • Implement abstractly specified computations and data structures in an imperative programming language (Java).

  • Analyze time and space usage of algorithms/programs.

  • Argue for correctness of programs using invariants.

  • Assess scalability of a given single-threaded software application, using asymptotic analysis.

  • Choose among and make use of the most important algorithms and data structures in libraries, based on knowledge of their complexity.

  • Design algorithms for ad hoc problems by using and combining known algorithms and data structures.

  • Describe the most important hardware and programming language factors influencing the speed at which a program runs and take them into account in assessment of speed of algorithms. .

 
Fagligt indhold:This course builds on your prior knowledge of programming. It will train you in designing efficient and correct programs, while giving you basic algorithmic tools indispensible for every software developer.

The course will be taught in a series lectures with associated exercise classes.

Topics covered are among others complexity analysis, big-O, correctness (loop invariants, assertions), algorithmic problem solving techniques including divide-and-conquer, concrete algorithms and data structures for search trees, sorting, hashing, graphs, shortest paths.

The lectures will cover theory and the exercise will train practical issues of applying the theory.  
Læringsaktiviteter:

12 lecture series + 12 exercise sessions

We will spend 6 hours a week on lectures and exercises for the first 12 weeks of the semester.

You are expected to work systematically. The course gives plenty of opportunities to gain hands-on experience with solving problems, with implementing algorithms and with using them.
This is arranged around guided exercise sessions, and graded weekly hand-ins (both homeworks and in class progress tests).

The textbook and lectures are in English, but written work and the exam can be delivered in Danish.
--------------------
Information om studiestruktur
Dette kursus indgår på andet semester på bacheloruddannelsen i software.
Se studieforløbet beskrevet her:
Bachelor softwareudvikling

Se hvordan undervisningen er tilrettelagt her:
link til skemaoplysninger
Skemaoplysningerne for forårssemesteret vil være tilgængelige fra kort før semesterstart.

See the schedule here:
link to the time table
The schedule for the spring term will be available shortly before the beginning of the term.
 

Eksamensform og -beskrivelse:X. experimental examination form (7-scale; external exam), 7-trins-skala, Ekstern censur

 

Litteratur udover forskningsartikler:Goodrich, Michael T. and Tamassia, Roberto: Algorithm Design. Wiley 2002.  
 
Afholdelse (tid og sted)
Kurset afholdes på følgende tid og sted:
UgedagTidspunktForelæsning/ØvelserStedLokale
Torsdag 09.00-12.00 Forelæsning ITU 2A12
Torsdag 13.00-16.00 Øvelser ITU 2A12

Eksamen afholdes på følgende tid og sted:
EksamensdatoTidspunktEksamenstypeStedLokale
2010-06-01 09.00-13.00 Skriftlig eksamen ITU 3A12/3A14
2010-08-20 Mulig dag for reeksamen /Possible date for re-exam Skriftlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered
2010-08-23 Mulig dag for reeksamen /Possible date for re-exam Skriftlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered
2010-08-25 Mulig dag for reeksamen /Possible date for re-exam Skriftlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered