This is a complete Computer Science and Software Engineering coding modules that explains everything about creating and managing programs using the Python programming language. It begins by thoroughly explaining Python programming and coding, followed by an in-depth discussion of Computer Science and Software Engineering Concepts.

This is a GOOGLE DRIVE BUNDLE with over 1000 Slides.

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The Following Are Included in This Curriculum

✤ Google Slide Lessons

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Format & Features

✤ Google Slides

✤ Editable

✤ Interactive

✤ Beginner-Friendly

✤ No-Prep

✤ Standards-Aligned

✤ Classroom-Ready

✤ Beginner to Advanced

The following are covered in depth in this ultimate bundle.

➤ Module Description

➤ Learning Outcomes

➤ Indicative Syllabus

➤ Python Data Types

➤ Numeric Data Type

➤ Integers

➤ type() Function

➤ Prefixing Integers

➤ Binary

➤ Octal

➤ Hexadecimal

➤ Decimal

➤ Float

➤ Complex numbers

➤ Sequence Data Type

➤ Strings

➤ Lists

➤ Tuples

➤ Boolean Data Type

➤ Sets Data Type

➤ Mapping Data Type

➤ Dictionaries

➤ Algorithms

➤ Pseudocode

➤ Top-Down Design

➤ Sequence Pseudocode

➤ Variables

➤ Selection: IF Statement

➤ IF Statement

➤ Boolean Logic

➤ Selection: CASE Statement

➤ Iteration: WHILE Loop

➤ WHILE Loop

➤ Iteration: FOR, DO, LOOP Loop

➤ FOR Loop

➤ DO Loop

➤ LOOP Loop

➤ Prime Numbers

➤ Fibonacci Numbers

➤ Data Compression

➤ Image Compression

➤ Modularisation

➤ Software Testing

➤ Eras of Testing

➤ Software Testing Methods

➤ Box Approach

➤ Black Box Testing

➤ White Box Testing

➤ Grey Box Testing

➤ Types of Testing

➤ Unit Testing

➤ Module Testing

➤ Subsystem Testing

➤ Integration Testing

➤ Acceptance Testing

➤ Testing Tools

➤ Data Structures: Arrays

➤ Searching

➤ Google Page Rank

➤ Google Search Algorithm

➤ Database Searching

➤ Array Searching

➤ Searching: Sequential Search

➤ Searching: Binary Search

➤ Simple Statistics on Arrays

➤ Minimum Value in Array

➤ Average Value in Array

➤ Standard Deviation of an Array

➤ Sorting

➤ Sorting: Bubble Sort

➤ Optimising Bubblesort

➤ Sorting: Selection Sort

➤ Algorithmic Complexity

➤ Data Structures: Multi-Dimensional Arrays

➤ Data Structures: Advanced

➤ Linked Lists

➤ Trees

➤ Stacks

➤ Queues

➤ Technical Architectures

➤ Tier Architecture (Client/Server)

➤ Tier Architecture

➤ N-Tier Architecture

➤ Universal Design

➤ Bad Designs

➤ Cost of Bad Designs

➤ Diversity: The World

➤ Better Innovation

➤ The Principles of Universal Design

➤ Principle 1: Equitable Use

➤ Principle 2: Flexibility in Use

➤ Principle 3: Simple and Intuitive

➤ Principle 4: Perceptible Information

➤ Principle 5: Tolerance for Error

➤ Principle 6: Low Physical Effort

➤ Principle 7: Size and Space for Approach and Use

➤ Software Development Methodologies

➤ Timeline of Methodologies

➤ Code-and-Fix

➤ Design-Code-Test-Maintain

➤ Waterfall Model

➤ Managing the Development of Large Software Systems

➤ Plan, Control and Monitor Testing

➤ Spiral Model

➤ A Spiral Model of Software Development and Enhancement

➤ A prioritized top-ten list of software risk items

➤ The V-Model and Rapid Application Development

➤ The “Vee” Model

➤ Computer Networks

➤ Network Types

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Aligned with Key Educational Standards

✤ CSTA (Computer Science Teachers Association) Standards

✤ AP Computer Science Principles (AP CSP)

✤ AP Computer Science A (AP CSA)

✤ CTE (Career and Technical Education) Standards

State Computer Science Standards

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Perfect for:

✤ Computer Science, AP CS, and Python Programming courses.

✤ Middle school, high school, and introductory college-level coding classes.

✤ Homeschooling parents seeking structured computer science lessons.

✤ Teachers looking for engaging, standards-aligned teaching materials.

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