Algorithms and Data Structures I

5 credits

Syllabus, Bachelor's level, 1DL210

A revised version of the syllabus is available.
Code
1DL210
Education cycle
First cycle
Main field(s) of study and in-depth level
Computer Science G1F, Technology G1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 27 April 2010
Responsible department
Department of Information Technology

Entry requirements

10 credits in computer programming (Program Design, Programming Techniques II, or equivalent) and 10 credits in mathematics, including basic algebra.

Learning outcomes

In order to pass, the student must be able to

  • analyse the runtime performance of a (simple) algorithm/program in terms of the size of its inputs, and this in the average, best, and worst cases.
  • choose appropriate algorithms and data structures for storing data, searching and sorting, as well as implement those algorithms.
  • use and implement basic graph algorithms.

Content

Mathematical foundations: asymptotic notation, summations, recurrence relations.

Data structures: trees, priority queues, heaps.

Searching: binary search trees, balanced search trees, hash tables.

Sorting: merge sort, quick sort, heap sort.

Graph algorithms: depth first and breadth first search.

Implementation of algorithms and data structures.

Instruction

Lectures, laboratory work, lessons, and mandatory assignments.

Assessment

Written exam (4 p). Assignments (1 p).

Other directives

The unit cannot be included in a degree with Program Design II (1IT022), nor with Data Structures (1DL009, 1TD191, 1MB026).

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