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