Computer Science
The Computer Science course and lab provide an introductory survey of computer science. The lab simulates real-world, hardware, software, and command-line interface environments and can be mapped to any text-book, course, or training. The computer science for beginners course and lab cover the dimensions of the subject such as Data storage and manipulation; operating systems, networking and the Internet; algorithms, programming languages, software engineering, database systems, computer graphics, and more.
- Price: $279.99
- Delivery method: eLearning
- DIR Discount: 20%
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Test Prep
118+ Pre Assessment Questions |
118+ Post Assessment Questions |
Features
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- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
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- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
Outline
Lessons 1:
Introduction
- The Role of Algorithms
- The History of Computing
- An Outline of Our Study
- The Overarching Themes of Computer Science
Lessons 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
Lessons 3:
Data Manipulation
- Computer Architecture
- Machine Language
- Program Execution
- Arithmetic/Logic Instructions
- Communicating with Other Devices
- Programming Data Manipulation
- Other Architectures
Lessons 4:
Operating Systems
- The History of Operating Systems
- Operating System Architecture
- Coordinating the Machine’s Activities
- Handling Competition Among Processes
- Security
Lessons 5:
Networking and the Internet
- Network Fundamentals
- The Internet
- The World Wide Web
- Internet Protocols
- Simple Client Server
- Cybersecurity
Lessons 6:
Algorithms
- The Concept of an Algorithm
- Algorithm Representation
- Algorithm Discovery
- Iterative Structures
- Recursive Structures
- Efficiency and Correctness
Lessons 7:
Programming Languages
- Historical Perspective
- Traditional Programming Concepts
- Procedural Units
- Language Implementation
- Object-Oriented Programming
- Programming Concurrent Activities
- Declarative Programming
Lessons 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
Lessons 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
Lessons 10:
Database Systems
- Database Fundamentals
- The Relational Model
- Object-Oriented Databases
- Maintaining Database Integrity
- Traditional File Structures
- Data Mining
- Social Impact of Database Technology
Lessons 11:
Computer Graphics
- The Scope of Computer Graphics
- Overview of 3D Graphics
- Modeling
- Rendering
- Dealing with Global Lighting
- Animation
Lessons 12:
Artificial Intelligence
- Intelligence and Machines
- Perception
- Reasoning
- Additional Areas of Research
- Artificial Neural Networks
- Robotics
- Considering the Consequences
Lessons 13:
Theory of Computation
- Functions and Their Computation
- Turing Machines
- Universal Programming Languages
- A Noncomputable Function
- Complexity of Problems
- Public-Key Cryptography
Appendix A: ASCII
Appendix B: Circuits to Manipulate Two’s Complement Representations
Appendix C: Vole: A Simple Machine Language
- The Vole Architecture1
- The Vole’s Machine Language
Appendix D: High-Level Programming Languages
- Ada
- C
- C++
- C#
- Fortran
- Java