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Computer Science Assignment Help Computer Science Homework Help & Tutoring

We at Globalwebtutors offer instant help for Computer Science Assignment help & Computer Science Homework help. Our Computer Science Online tutors are available 24*7 for students struggling with CS assignments & problems.

Computer Science Homework help & Computer Science online tutors offer 24*7 services . Send us your Computer Science assignments at support@globalwebtutors.com or else upload it on the website. Instant Connect to us on live chat for Computer Science assignment help & Computer Science Homework help.

Topics for Assignment Help :

  • ProgrammingProgramming basics ,Data Structures
  • Systems : Computer Organization & Architecture ,Principles of Computer Systems
  • Theory : Discrete Mathematics ,Algorithms & Complexity

Computer Science

Computer Science is the design of computers and computational processes. Computer Science involves three terms i.e Mathematics, Science and Engineering. It is the systematic study of methodologies and algorithms that provide acquisition, representation, processing, storage, communication of, and access to, information.Computer science is the research and development of technology that helps to determine the solutions to any particular problem.

Computer Science includes logic and reasons, methodology for learning and refinement and techniques for building hardware and software. Main objective of computer science is to handle and manipulate the data and information. It includes sub-disciplines i.e computer theory, hardware systems, software systems, and scientific computing.

Specialization of computer science is categorized into three terms hardware, software and robotics.

• Hardware helps to send, receive and process information
• Software is the tool that instruct to perform any task
• Robotics ensures how computers interact with environment to perform specific task.

Few topics :

  • Fixed program & stored program computers, syntax, static semantics, and semantics. branching, and looping programs, binary representation of numbers, orders of growth, and debugging programs.
  • Values, types, int, float, boolean, strings (str), tuples, dictionaries (dict), and lists, expressions and statements, print statements ,conditionals, loops, assert, functions, scope, object models, mutation, and mutability.
  • Algorithmic techniques: guess and check, linear search, bisection search, successive approximation, and Newton-Raphson (Newton's method) ,recursive definitions, problem solving techniques, structure programs using decomposition and abstraction
  • Hash functions, mapping large data sets ,object-oriented programming languages , objects, classes, subclasses, abstract data types, exceptions, and inheritance. algorithms like "Big O notation," divide and conquer, merge sort, orders of growth, and amortized analysis
  • problem-solving methods , simulations to solve both random and non-random problems. simulations, graphs, and predictive models.
  • random walks , Monte Carlo simulations, to invoke random sampling to model and compute mathematical or physical systems, Monty Hall problem for simulations, knapsack problem , optimization, supervised and unsupervised machine learning
    Optimization and Clustering
  • Data clustering ,graphs as a set of nodes and edges, degrees-of-separation problems , find a shortest path. pseudocode as preparation for writing code, dynamic programming , optimally efficient programs
  • Logical and statistical fallacies, such as bias, data enhancement, causal fallacies, and the Texas sharpshooter fallacy, queuing network simulations, common queue disciplines ,Queuing Network Models

Our experts help students to write small programs ,Map scientific problems into computational frameworks & focus on computational problem solving & applying computational methods in language for expressing computations in programming like Python.

If you are struggling with Process of writing and debugging a program or the process of moving from a problem statement to a computational formulation of a method for solving the problem then you are at the right place. Our experts help with set of "recipes"—algorithms , simulations ,computational tools to help model and understand data

Few topics in CS include:

• Applied Mathematics , Artificial Intelligence ,Cryptography , Software Development ,Parallel Programming , Operating Systems ,Computer Engineering ,Micro programming
• Simulation And Modeling ,Bioinformatics , Data structure ,Computer Architecture
• Robotics , Computer Game Development

Our Experts are excellent in solving Programming assignments in Computer Science as well as some of the conceptual problems in Data Structures and Algorithms ,problems based on OOPs ,Computer Architecture and Organization , assignments on Design & Analysis of Algorithms , as well as some advanced level assignments on Operating System & Software Engineering.

We help with Case studies , Essay writing ,CS research assignments ,Custom solutions ,problems ,Question answers ,thesis writing help at Masters & Phd level ,Research topics ,Doctoral Dissertation , weekly assignments ,coursework help in computer science.

Computer Science Homework help for:

Computer Science Homework Help Services include : 

  • 24*7 Chat , Phone & Email support.
  • Tutors for CS Online Quiz , tests & exam.
  • Excellent cost effective package for regular students & weekly homework submissions.
Computer Science Assignment help :
 
Our CS experts are dealing with student assignments on  Digital Logic & State Machine Design , Database programming ,assignments on Game Programming, Game Development Studio. If you are struggling with CS assignments on Parallel and Distributed Systems ,Programming on Unix ,Java as well as Web Design then you are at the right place. Our excellent team of experts are ready to help with Computer Security ,Network Security ,Interactive Computer Graphics ,Human Computer Interaction ,Game Design ,Artificial Intelligence ,Application Security ,Information Systems Security Engineering and Management ,Penetration Testing and Vulnerability Analysis ,Applied Cryptography & Computer Networking.
 
Principles of Programming
Theory
Applied Software Development
Robotics Programming
Directed Reading
Computer Architecture and Concurrency
Logic and Database Theory
Software Engineering
Mathematics and Statistics
Compilers
Cognitive Systems and Intelligent Technologies
Introduction to Programming
Systems Engineering
Computational Complexity
Computer Systems
Functional Programming
Interaction Design
Database and Information Management Systems
Networked Systems
Artificial Intelligence and Neural Computing
Introduction to Cryptography
Image Processing
Computer Graphics
Research Methods
Research Group Project
Web Development
Systems Engineering
Machine Learning and Neural Computing
Robotic Systems
Operational Risk Measurement for Financial Institutions
Programming & Mathematical Methods for Machine Learning
Requirements Engineering and Software Architecture
Software Abstractions and Systems Integration
Validation and Verification
Tools and Environments
Financial Institutions and Markets
Financial Information Systems
Language Based Security
Distributed Systems and Security
Multimedia Systems
Web Economics
Complex Networks and Web
Advanced Topics in Machine Learning
Information Retrieval and Data Mining
Machine Vision
Supervised Learning
Graphical Models
Bioinformatics
People and Security
Computer Security
Introduction to Cryptography
Applied Cryptography
Computer Security
Malware
Privacy Enhancing Technologies
Cryptanalysis
Mathematical Methods Algorithms and Implementations
Virtual Environments
Computational Modelling for Biomedical Imaging
Acquisition and Processing of 3D Geometry
Geometry of Images
Affective Computing and Human-Robot Interaction
Statistical Natural Language Processing
Computational Photography and Capture
Introduction to Deep Learning
Applied Machine Learning
Individual Project
Advanced Deep learning and Reinforcement Learning

 

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