Unit 836: Comprehensive Computer Science Foundations

1. History of Computers

1.1 Early Mechanical Devices

• Abacus and early calculation tools
• Mechanical calculators (Pascaline, Leibniz's Step Reckoner)

1.2 Developments in the 20th Century

• Turing Machine concept
• ENIAC and first electronic computers
• Introduction of transistors and integrated circuits

1.3 Evolution to Modern Digital Machines

• Microprocessors and personal computers
• The rise of mobile computing and cloud technology
• Key milestones and technological advancements overview

2. Basics of Programming

2.1 Fundamental Concepts

• Variables and data types (integers, floats, strings, booleans)
• Control structures: conditionals (if, else), loops (for, while)

2.2 Functions and Procedures

• Defining and calling functions
• Parameters and return values

2.3 Introduction to Algorithms

• Stepwise instructions for problem solving
• Importance in computer science

3. Introduction to Algorithms

3.1 Definition and Importance

• What is an algorithm?
• Efficiency and optimization

3.2 Basic Algorithm Design Strategies

• Divide and Conquer (e.g., merge sort, quicksort)
• Dynamic Programming (e.g., Fibonacci sequence, knapsack problem)
• Greedy Algorithms (e.g., coin change, activity selection)

4. Data Structures

4.1 Importance of Data Structures

• Organizing and storing data efficiently

4.2 Fundamental Data Structures

• Arrays: fixed-size collections
• Linked Lists: nodes and pointers
• Stacks: LIFO principle
• Queues: FIFO principle

4.3 Advanced Data Structures

• Trees: binary trees, binary search trees
• Graphs: nodes and edges, directed and undirected

5. Introduction to Software Development

5.1 Software Development Lifecycle

• Requirements gathering
• System and software design
• Implementation and coding
• Testing and debugging
• Maintenance and updates

5.2 Best Practices and Methodologies

• Agile, Waterfall, DevOps overview
• Version control systems (e.g., Git)
• Documentation and code quality

6. Computer Architecture

6.1 Components of a Computer System

• Central Processing Unit (CPU): ALU, control unit
• Memory: RAM, ROM
• Input/output devices
• Storage devices: HDD, SSD

6.2 How Components Work Together

• Fetch-decode-execute cycle
• Data buses and system architecture

7. Operating Systems

7.1 Role and Functions

• Resource management
• Process management: multitasking, scheduling

7.2 Memory Management

• Virtual memory
• Paging and segmentation

7.3 File Systems

• Hierarchical file structure
• File permissions and security

7.4 User Interfaces

• Command line interface (CLI)
• Graphical user interface (GUI)

8. Introduction to Object-Oriented Programming (OOP)

8.1 Core Principles

• Classes and Objects
• Encapsulation: data hiding
• Inheritance: hierarchical classification
• Polymorphism: method overriding and overloading

8.2 Benefits of OOP

• Code reusability
• Modularity and maintainability

9. Introduction to Web Development

9.1 Web Technologies Overview

• HTML: structure of web pages
• CSS: styling and layout
• JavaScript: interactivity and dynamic content

9.2 Web Frameworks

• Brief introduction to popular frameworks (e.g., React, Angular, Vue)
• Client-side vs server-side development

9.3 Building Interactive Websites

• DOM manipulation
• Event handling

10. Ethical and Social Implications of Computing

10.1 Privacy and Security

• Data protection and confidentiality
• Cybersecurity threats

10.2 Intellectual Property

• Copyright, patents, and software licenses

10.3 Impact of Technology on Society

• Digital divide
• Automation and employment
• Responsible use of technology and ethical computing