Algorithms and Data Structures
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Course code
IFI6083.DT
old course code
IFI6083
Course title in Estonian
Algoritmid ja andmestruktuurid
Course title in English
Algorithms and Data Structures
ECTS credits
4.0
Assessment form
Examination
lecturer of 2022/2023 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2022/2023 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Contribute to developing knowledge of linear and nonlinear data structures and their practical implementation skills. Support the development of problem analysis and solving based on the various data structures, using appropriate algorithms. Support the development of practical programming experience in C language with pointers.
Brief description of the course
Lists. Linear data structures - stack, sequence, deque, properties, implementation. Tree. Binary tree: implementation, basic algorithms. Graph: implementation, basic algorithms depth- and breadth-first traversals, the shortest path, topological sort). Basic algorithmic analysis: Asymptotic analysis of upper and average complexity, identifying bounds, differences between best, average, and worst case behaviours, big O notation. Algorithmic strategies. O (N ^ 2) and O (N * log N) sorting algorithms. Searching. Binary seach tree. Hashing.
Three homeworks must be done: solving a problem and presenting solution in a program.
Learning outcomes in the course
Upon completing the course the student:
- knows concepts about analysis and evaluation of algorithms and complexity;
- describes dynamic and static data structures, and algorithms for them;
- is able to analyze algorithms and evaluate their effectiveness;
- can in case of more typical problems choose appropriate data structures and algorithms, depending on the problem to be solved;
- creates a computer program, witch uses learnd algorithms to solve the problems.
Teacher
Inga Petuhhov
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