Algorithms and Data Structures

Course code

IFI6012.DT

old course code

IFI6012

Course title in Estonian

Algoritmid ja andmestruktuurid

Course title in English

Algorithms and Data Structures

ECTS credits

3.0

approximate amount of contact lessons

42

Teaching semester

autumn - spring

Assessment form

Examination

lecturer of 2019/2020 Autumn semester

õppejõud on määramata

lecturer of 2019/2020 Spring semester

lecturer not assigned

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 simple 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.

Three homeworks must be done: solving a problem and presenting solution in a program.

Independent work

Reading teh course materials, learning the main concepts of the field. Composing 3 programs, specific requirements will be available during the workshops.

Learning outcomes in the course

After 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.

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.

Assessment methods

Exam. The final Grade is based on written examwork. The prerequisite for exam is homework.

Teacher

õp Inga Petuhhov

Prerequisite course 1

Study literature

Õppematerjalid kursuse veebilehel: http://www.cs.tlu.ee/~inga/alg_andm/;

Algoritmid ja andmestruktuurid. Kiho, J. 2003.

Algoritmid ja andmestruktuurid. Kiho, J. 2003.

Replacement literature

R. Sedgewick, Algorithms in C (Parts 1-5). 2002;

Ain Isotamm, Programmeerimine C-keeles ("Algoritmide ja andmestruktuuride" näiteil), TÜ, 2009.

Ain Isotamm, Programmeerimine C-keeles ("Algoritmide ja andmestruktuuride" näiteil), TÜ, 2009.