Computer Science

This is an application for researchers, graduate students or students who are studying in universities of computer science.
Based on the synthesis of subjects and research topics from computer science schools, the system of choice includes the most common subjects, the most common areas of study,
Advanced Machine Learning
Algorithms and Data Structures
Automata Logic and Games
Categorical Quantum Mechanics
Categories Proofs and Processes
Compilers
Computational Algebraic Topology
Computational Complexity
Computational Game Theory
Computer Animation
Computer Architecture
Computer Graphics
Computer Networks
Computer Security
Computer-Aided Formal Verification
Computers in Society
Concurrency
Concurrent Algorithms and Data Structures
Concurrent Programming
Continuous Mathematics
Database Systems Implementation
Databases
Deep Learning for Natural Language Processing
Design and Analysis of Algorithms
Digital Systems
Discrete Mathematics
Foundations of Computer Science
Functional Programming
Geometric Modeling
Group Design Practical
Imperative Programming I
Imperative Programming II
Intelligent Systems
Introduction to Formal Proof
Knowledge Representation & Reasoning
Lambda Calculus and Types
Linear Algebra
Logic and Proof
Machine Learning
Models of Computation
Object Oriented Programming
Principles of Programming Languages
Probabilistic Model Checking
Probability and Computing
Quantum Computer Science
Requirements
Visual Analytics

From there, combined with contexts such as Information
Introduction
Course
Study guide
Exams
Pathways
Syllabus
Book
To provide readers and researchers with the latest, most useful information from internet