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Computer Science: A Complete Study Guide

Join our Computer Science course to gain the skills you need for a high-paying and successful tech career.

(CS.AB1) / ISBN : 978-1-64459-212-0
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About This Course

Our Computer Science online course offers an in-depth exploration of the field, covering essential topics such as algorithms, data storage, and manipulation. You’ll get all the intel on the history and architecture of operating systems, the fundamentals of networking and the internet, and programming languages. The course also includes modules on software engineering, data abstractions, and database systems, along with an introduction to computer graphics and artificial intelligence. Finally, you will get acquainted with the theory of computation and its practical applications. With hands-on labs and real-world examples, this introductory course to computer science delivers knowledge and skills needed for a successful and lucrative career in technology.

Skills You’ll Get

  • Store and manipulate data using bits, binary systems, and data compression techniques
  • Comprehend computer architecture and machine language for program execution
  • Coordinate and manage activities of operating systems, including security protocols
  • Represent, discover, and evaluate algorithms for efficiency and correctness
  • Apply traditional and object-oriented programming concepts in various languages
  • Implement software engineering methodologies and quality assurance practices
  • Use basic and customized data structures, and understand pointers in machine language
  • Design, maintain, and query relational and object-oriented databases
  • Create and manipulate 3D graphics, models, and animations
  • Explore artificial intelligence (AI), neural networks, and robotics
  • Analyze the theory of computation, including Turing machines and cryptography

Download Course Outline

1

Introduction

  • The Role of Algorithms
  • The History of Computing
  • An Outline of Our Study
  • The Overarching Themes of Computer Science
2

Data Storage

  • Bits and Their Storage
  • Main Memory
  • Mass Storage
  • Representing Information as Bit Patterns
  • The Binary System
  • Storing Integers
  • Storing Fractions
  • Data and Programming
  • Data Compression
  • Communication Errors
3

Data Manipulation

  • Computer Architecture
  • Machine Language
  • Program Execution
  • Arithmetic/Logic Instructions
  • Communicating with Other Devices
  • Programming Data Manipulation
  • Other Architectures
4

Operating Systems

  • The History of Operating Systems
  • Operating System Architecture
  • Coordinating the Machine’s Activities
  • Handling Competition Among Processes
  • Security
5

Networking and the Internet

  • Network Fundamentals
  • The Internet
  • The World Wide Web
  • Internet Protocols
  • Simple Client Server
  • Cybersecurity
6

Algorithms

  • The Concept of an Algorithm
  • Algorithm Representation
  • Algorithm Discovery
  • Iterative Structures
  • Recursive Structures
  • Efficiency and Correctness
7

Programming Languages

  • Historical Perspective
  • Traditional Programming Concepts
  • Procedural Units
  • Language Implementation
  • Object-Oriented Programming
  • Programming Concurrent Activities
  • Declarative Programming
8

Software Engineering

  • The Software Engineering Discipline
  • The Software Life Cycle
  • Software Engineering Methodologies
  • Modularity
  • Tools of the Trade
  • Quality Assurance
  • Documentation
  • The Human-Machine Interface
  • Software Ownership and Liability
9

Data Abstractions

  • Basic Data Structures
  • Related Concepts
  • Implementing Data Structures
  • A Short Case Study
  • Customized Data Types
  • Classes and Objects
  • Pointers in Machine Language
10

Database Systems

  • Database Fundamentals
  • The Relational Model
  • Object-Oriented Databases
  • Maintaining Database Integrity
  • Traditional File Structures
  • Data Mining
  • Social Impact of Database Technology
11

Computer Graphics

  • The Scope of Computer Graphics
  • Overview of 3D Graphics
  • Modeling
  • Rendering
  • Dealing with Global Lighting
  • Animation
12

Artificial Intelligence

  • Intelligence and Machines
  • Perception
  • Reasoning
  • Additional Areas of Research
  • Artificial Neural Networks
  • Robotics
  • Considering the Consequences
13

Theory of Computation

  • Functions and Their Computation
  • Turing Machines
  • Universal Programming Languages
  • A Noncomputable Function
  • Complexity of Problems
  • Public-Key Cryptography
A

Appendix A: ASCII

B

Appendix B: Circuits to Manipulate Two’s Complement Representations

C

Appendix C: Vole: A Simple Machine Language

  • The Vole Architecture1
  • The Vole’s Machine Language
D

Appendix D: High-Level Programming Languages

  • Ada
  • C
  • C++
  • C#
  • Fortran
  • Java
E

Appendix E: The Equivalence of Iterative and Recursive Structures

Data Storage

  • Understanding Boolean Operations
  • Using the ASCII Code
  • Using the Floating-Point Notation

Data Manipulation

  • Using Logic Operations
  • Understanding Input and Output

Operating Systems

  • Understanding Operating System Architecture

Networking and the Internet

  • Understanding Hyperlinks
  • Using the Headings

Algorithms

  • Understanding Functions

Programming Languages

  • Using Variables and Data Types
  • Using Logical Deduction

Software Engineering

  • Understanding the software life cycle

Data Abstractions

  • Using Arrays

Database Systems

  • Using Database Systems

Computer Graphics

  • Understanding Computer Graphics

Artificial Intelligence

  • Understanding Artificial Neural Networks

Theory of Computation

  • Understanding Universal Programming Languages

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Our best computer science course discusses and explores the practical applications of CS fundamentals, algorithms, database management, OS & networking essentials, most widely used programming languages, and much more. 

The online computer science course covers CS fundamentals,  algorithms, data storage, data manipulation, operating systems, networking and the internet, programming languages, software engineering, data abstractions, database systems, computer graphics, artificial intelligence, and theory of computation.

Computer science involves designing and developing software, solving complex computing problems, managing databases, ensuring cybersecurity, and advancing technology through research and innovation.

The requirements typically include a basic understanding of mathematics and logical reasoning. Familiarity with computers and programming concepts is beneficial but not mandatory, as the course starts with foundational topics.

Our computer science beginner course is perfect for both technical and non-technical users

Yes, this course will help you get an entry-level or mid-level job role in the computer science field.

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