13S112ASP2 - Algorithms and Data Structures 2

Course specification
Course title Algorithms and Data Structures 2
Acronym 13S112ASP2
Study programme Software Engineering
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
The goal Teaching students the algorithms and corresponding data structures used for searching and sorting.
The outcome In addition, the student should also be able for program implementation of searching and sorting algrithms and for solving of the pratical problems.
URL to the subject page
Contents of lectures Searching. Basic searching methods and their improvements. Binary search tree, AVL trees, red-black trees, optimal search tree. M - ary search tree. B, B*, and B + trees. Digital search trees. Hashing – hash functions and collision resolving. External hashing. Sorting. Insertion, selection, exchange and merge methods. Sorting of linear complexity. Heaps.
Contents of exercises lab exercises, homeworks
  1. Algoritmi i strukture podataka, Milo Tomašević, Akademska misao, 2010.
  2. Introduction to Algorithms,Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, MIT Press, 2009. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
2 2 1
Methods of teaching auditory class lessons and exercises with presentations, lab exercises, homeworks
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 70
Practical lessons 30 Oral examination 0
Colloquia 0
Seminars 0