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Data structures and algorithms

Code: 36955
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Robert Manger
Lecturers: Adrian Beker - Exercises
doc. dr. sc. Barbara Bošnjak - Exercises
Ivan Novak , mag. math. - Exercises
Mateo Tomašević , mag. math. - Exercises
English level:


All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.

1. komponenta

Lecture typeTotal
Lectures 30
Exercises 30
* Load is given in academic hour (1 academic hour = 45 minutes)
COURSE AIMS AND OBJECTIVES: Acquiring basic knowledge about abstract data types, and data structures that are used for their implementation. Getting familiar with basic techniques for design and analysis of algorithms.

1. Introduction. The notion of type, abstract data type, and data structure. Building blocks of a data structure: arrays, records, pointers, cursors. The notion of algorithm. Specification and analysis of algorithms.
2. Abstract data types. Lists, stacks, queues, ordered trees, binary trees, sets, dictionaries, priority queues, mappings.
3. Data structures (serving for implementation of the considered abstract data types). Linked lists and other linked structures, hash tables, binary search trees, heaps.
4. Basic algorithms (performing basic operations over structures). Insertion and deletion of data, traversal, searching, retrieval of contents, etc.
5. More complex algorithms (that apply the considered structures). Sorting and merging of lists, evaluation of arithmetic expressions, various recursive procedures.
6. General algorithm design techniques. Divide and conquer, dynamic programming, greedy approach, backtracking, local search.
Prerequisit for:
Enrollment :
Passed : Computer programming 2
5. semester
Računarstvo - Regular study - Mathematics Education

6. semester Not active
Računarstvo - Regular study - Mathematics Education
Consultations schedule:


Link to the course web page: https://web.math.pmf.unizg.hr/nastava/spa/