Algorithms & Data Structures
People
Description
The course covers basic notions of: complexity, asymptotic worst-case and average complexity, big-O notation, complexity classes; general algorithmic strategies, brute force, greedy, divide-and-conquer, and dynamic programming; common algorithms, searching and sorting, elementary graph algorithms, basic data structures, stacks, queues, linked lists, rooted trees; more advanced data structures, B-trees, heaps, hash tables.
Objectives
Algorithms and data structures are fundamental to computer science. They are the essence of computer programs. The performance of any software system depends on the efficiency of its algorithms and data structures, and more generally, the study of algorithms provides insights into the nature of problems. This course teaches algorithmic programming, meaning how to solve problems with computers, and how to design and reason about algorithms. The course also teaches the purpose as well as the strengths and weaknesses of some of the most fundamental algorithms and data structures.
Teaching mode
In presence
Learning methods
Theoretical lectures combined with a lot of programming exercises.
Examination information
Homework assignments (optional), midterm exam, final exam, all consisting of algorithmic problems and programming exercises.
Bibliography
Education
- Bachelor of Science in Informatics, Lecture, 1st year
- Master of Science in Management and Informatics, Lecture, 1st year