Open Doors Computer and Data Science Exam Prep
A 30-day high-yield course engineered for the Open Doors Bachelor's Track in Computer and Data Science. The curriculum bypasses generic textbook padding and directly targets Russian university entrance exam structures (Kompege/EGE formats). It covers positional number systems, information theory, network subnet bitwise conjunctions, graph theory (trees and the handshaking lemma), recursive function tracing, and advanced file parsing via Python for sequence processing and two-pointer algorithms.
Modules
7
Lessons
40
Course created by Kirakos
Module 1
Numeral Systems and Bitwise Operations
Mastering the foundation of digital data representation with a focus on EGE/Kompege style arithmetic in various bases and bit-level manipulation.
Module 2
Information Theory and Digital Media
Techniques for calculating storage requirements and ensuring unambiguous communication using coding theory principles.
Module 3
Applied Mathematics and Geometry for CS
Targeted math domains frequently appearing in the second-round tasks, including solid geometry and statistical analysis.
Module 4
Network Architecture and Subnetting
Practical application of IP addressing rules and bitwise conjunction for network address identification.
Module 5
Graph Theory and Algorithmic Logic
Discrete structures analysis focusing on trees, handshaking lemmas, and complexity notation.
Module 6
Python for Advanced File Processing
Scripting templates for second-round programming tasks, focusing on large file parsing and efficient algorithms.
Module 7
Final Assessment
Comprehensive evaluation covering the entirety of the Open Doors Computer and Data Science second-round curriculum.