Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
Explanatory Notes
Instructions
Web page:
http://cw.fel.cvut.cz/wiki/courses/be5b33pge
Anotation:
Course outlines:
| 1. | | Asymptotic complexity, estimation of execution time of a code |
2 .1D arrays and lists, prefix sum, binary search
| 3. | | 2D arrays and matrices |
| 4. | | Strings and text files |
| 5. | | Recursion I, principles, simple examples |
| 6. | | Library data structures and functions for searching and sorting, their complexity |
| 7. | | Python application libraries Numpy, Scipy, with examples of use |
| 8. | | Python application libraries Matplotlib, SageMath, NetworkX, with examples of use |
| 9. | | Abstract data structures -- stack, queue, tree, graph -- and their implementation |
| 10. | | Recursion 2, tree processing |
| 11. | | Graph processing and searching 1, graph representation, local search |
| 12. | | Graph processing and searching 2, BFS DFS |
| 13. | | Rezerva |
| 14. | | Rezerva |
Exercises outline:
| 1. | | Asymptotic complexity of Python code and code fragments |
| 2. | | 1D array and list processing,Python built-in functions |
| 3. | | Operations on matrices, 2D array as image or function domain |
| 4. | | Text files processing, text search |
| 5. | | Recursive functions and procedures. Recursive generation of data/objects |
| 6. | | Effectivity of search and sort methods on various datasets |
| 7. | | Scientific and math computations with Numpy and Scipy, |
| 8. | | Data visualisation with Python libraries |
| 9. | | Homework problems comments and consultations |
| 10. | | Tree traversal, In-, Pre and Post-order, recursion tree of a function call |
| 11. | | Comparing effectivity of graph representations. |
| 12. | | BFS and DFS implementations |
| 13. | | Rezerva |
| 14. | | Rezerva |
Literature:
John V. Guttag: Introduction to Computation and Programming Using Python
Revised and Expanded Edition, The MIT Press, 2013.
https://doc.lagout.org/programmation/python/Introduction%20to%20Computation%20and%20Programming%20using%20Python%20%28rev.%20ed.%29%20%5BGuttag%202013-08-09%5D.pdf
John M. Zelle: Python Programming: An Introduction to Computer Science (Third Edition), Franklin, Beedle & Associates, 2016
http://mcsp.wartburg.edu/zelle/python/
Various authors: SciPy cookbook, 2015
https://scipy-cookbook.readthedocs.io/index.html
David Cournapeau: scikit-learn library 2007-2018
https://scikit-learn.org/stable/
Requirements:
Basic programming skills on the level of an introductory course. The course uses Python and assumes students can code simple programes in it. The course is not intended for students beginners with no knowledge of programming.
Subject is included into these academic programs:
| Page updated 20.4.2025 11:54:13, semester: Z/2026-7, Z/2024-5, Z,L/2025-6, L/2024-5, L/2026-7, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |