Course details

Algorithms (in English)

IALe Acad. year 2023/2024 Summer semester 5 credits

Overview of fundamental data structures and their exploitation. Principles of dynamic memory allocation. Specification of abstract data types (ADT). Specification and implementation of ADT's: lists, stack and its exploitation, queue, searching table. Algorithms upon the binary trees. Searching: sequential, in the ordered and in not ordered array, searching with the guard (sentinel), binary search, search tree, balanced trees (AVL). Searching in hash-tables. Sorting (ordering), principles, sorting without the moving of items, sorting with multiple keys. Most common methods of sorting: Select-sort, Bubble-sort, Heap-sort, Insert-sort a jeho varianty, Shell-sort, recursive and non-recursive notation of the Quick sort, Merge-sort, List-merge-sort, Radix-sort.

Guarantor

Language of instruction

English

Completion

Credit+Examination (written)

Time span

• 39 hrs lectures
• 13 hrs projects

Assessment points

• 51 pts final exam (written part)
• 14 pts mid-term test (written part)
• 35 pts projects

Department

Lecturer

Instructor

Learning objectives

To become familiar with the basic principles of algorithm complexity. To learn the principles of dynamic memory allocation. To learn about, implement and use basic abstract data types and structures. Learn recursive and non-recursive notations for basic algorithms. Learn to create and analyze search and sort algorithms.

• The student will understand the basic principles and meaning of complexity of algorithms.
• The student will become familiar with basic abstract data types and structures and learn how to implement and use them.
• The student will learn the principles of dynamic memory allocation.
• Learn recursive and non-recursive notations for basic algorithms.
• Learn to create and analyze search and sort algorithms.

Recommended prerequisites

Prerequisite knowledge and skills

• Basic knowledge of the programming in procedural programming language (knowledge of programming language C will be essential for solving homework problems).
• Knowledge of secondary school level mathematics.

Study literature

• Cormen, T.H., Leiserson, Ch.E., Rivest, R.L.: Introduction to Algorithms, Cambridge: MIT Press, 2009
• Knuth, D.: The Art of Computer programming, Vol.1,2,3. Addison Wesley, 1968
• Wirth, N.: Alorithms+Data Structures=Programs, Prentice Hall, 1976
• Horowitz, Sahni: Fundamentals of Data Structures in C, University Press, 2010
• Aho A.V., Hoppcroft J.E., Ullman J.D.: Data Structures and Algorithms, Addison Wesley, 1983.
• Kruse, R.L.: Data Structures and Program Design. Prentice- Hall,Inc. 1984
• Baase, S.: Computer Algorithms - Introduction to Design and Analysis. Addison Wesley, 1998

Syllabus of lectures

1. Overview of data structures, introduction to methods of evaluating time complexity of algorithms.
2. Abstract data type and its specification.
3. Specification, implementation and usage of ADT list.
4. Specification, implementation and usage of ADT stack, queue. Enumeration of expressions using the stack.
5. ADT search table.
6. Binary tree, algorithms over binary tree.
7. Search, sequential in array, binary search.
8. Binary search trees, AVL tree.
9. Searching in hash tables.
10. Sorting, principles, no movement, multiple key.
11. Common sorting methods for arrays I
12. Common sorting methods for arrays II.

Syllabus - others, projects and individual work of students

• Two home assignments

Progress assessment

• Two evaluated  home assignments - 25 points
• Mid-term written examination - 14 point
• Elaboration of short tasks in lectures - 10 points
• Accreditation - a minimum of 15 points per semester is required for credit to be awarded.
• Final written examination - 51 points

Exam prerequisites

• to earn min. 15 points within the semester
• Plagiarism and not allowed cooperation will cause that involved students are not classified and disciplinary action can be initiated.

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