Logic & Computational Thinking

01

Basic Algorithms

3 chapters • 65 marks • 6h

1 Fundamentals of Basic Algorithms 4 classes

1.1 Understanding Basic Algorithm Concepts

1.2 Exploring Simple Sequence Structures

1.3 Implementing Conditional Logic in Algorithms

1.4 Building Iterations for Problem Solving

2 Algorithm Design and Efficiency 4 classes

2.1 Understanding Basic Algorithm Structures

2.2 Analyzing Algorithm Efficiency: Time and Space Complexities

2.3 Designing Simple Algorithms: Step-by-Step Approach

2.4 Improving Algorithm Performance through Optimization

3 Implementing and Adapting Basic Algorithms 4 classes

3.1 Understanding Algorithm Structures

3.2 Implementing Simple Algorithms

3.3 Adapting Algorithms for Different Scenarios

3.4 Testing and Optimizing Algorithm Efficiency

02

Computational Systems Analysis

3 chapters • 65 marks • 6h

1 Understanding Computational System Structures and Components 4 classes

1.1 Identifying Key Components of Computational Systems

1.2 Analyzing the Structure of System Architectures

1.3 Exploring Interactions Between System Components

1.4 Evaluating System Performance and Optimization

2 Analyzing System Operations and Data Flow 4 classes

2.1 Understanding System Components and Functions

2.2 Mapping Data Flow in Computational Systems

2.3 Identifying Operational Challenges in Systems

2.4 Applying Data Flow Analysis to Optimize Performance

3 Applying Analytical Tools and Techniques for System Optimization 4 classes

3.1 Understanding Key Analytical Tools for System Optimization

3.2 Exploring Data Flow Analysis Techniques

3.3 Implementing Optimization Algorithms in Systems

3.4 Evaluating System Performance Post-Optimization

03

Data Structures

3 chapters • 65 marks • 6h

1 Chapter 1 — Understanding Basic Data Structures 4 classes

1.1 Exploring Fundamental Data Structures

1.2 Comparing Arrays and Linked Lists

1.3 Implementing Stacks and Queues

1.4 Analyzing Performance in Data Structure Operations

2 Chapter 2 — Complex Data Structures and Their Uses 4 classes

2.1 Understanding the Characteristics of Complex Data Structures

2.2 Exploring Applications of Trees and Graphs

2.3 Implementing Hash Tables in Real-World Scenarios

2.4 Analyzing Performance and Efficiency of Complex Data Structures

3 Chapter 3 — Data Structures in Software Development 4 classes

3.1 Understand the Role of Data Structures in Software Development

3.2 Explore Common Data Structures: Arrays, Lists, and Maps

3.3 Implement Data Structures in Programming: Hands-On Exercises

3.4 Analyze the Efficiency of Data Structures in Real-World Applications

04

Introduction to Logical Reasoning

3 chapters • 90 marks • 8h

1 Chapter 1 — Fundamentals of Propositional Logic 4 classes

1.1 Understanding Basic Propositions and Their Components

1.2 Exploring Logical Connectives: AND, OR, NOT

1.3 Constructing Truth Tables and Evaluating Statements

1.4 Applying Propositional Logic in Real-World Scenarios

2 Chapter 2 — Techniques for Logical Deduction 4 classes

2.1 Understanding Logical Statements

2.2 Identifying Premises and Conclusions

2.3 Applying Deductive Reasoning

2.4 Solving Problems with Logical Deduction

3 Chapter 3 — Introduction to Predicate Logic and Applications 4 classes

3.1 Understanding the Basics of Predicate Logic

3.2 Exploring Quantifiers and Their Roles

3.3 Translating English Sentences into Predicate Logic

3.4 Applying Predicate Logic to Real-World Scenarios

05

Logical Problem Solving

3 chapters • 90 marks • 8h

1 Understanding Fundamental Logical Concepts 4 classes

1.1 Grasping Basic Logical Operators

1.2 Applying Truth Tables in Problem Solving

1.3 Analyzing Logical Statements and Arguments

1.4 Implementing Logic in Computational Thinking

2 Building Structured Problem-Solving Steps 4 classes

2.1 Understanding the Problem: Defining Objectives and Constraints

2.2 Breaking Down the Problem: Creating Sub-Tasks

2.3 Planning Solutions: Developing Logical Sequences

2.4 Evaluating Outcomes: Testing and Refining Solutions

3 Applying Logic to Real-World Computational Problems 4 classes

3.1 Understanding Logic in Everyday Contexts

3.2 Analyzing Computational Problems with Logical Frameworks

3.3 Creating Logical Models for Problem Solving

3.4 Applying Logical Models to Real-World Scenarios

06

Practical Applications

3 chapters • 65 marks • 6h

1 Chapter 1 — Problem Solving with Logical Deduction 4 classes

1.1 Understanding Logical Deduction: Recognizing Patterns

1.2 Analyzing Problems: Breaking Down Scenarios

1.3 Applying Deductive Reasoning: Solving Real-World Problems

1.4 Evaluating Outcomes: Reflecting on Problem-Solving Strategies

2 Chapter 2 — Algorithm Design and Analysis 4 classes

2.1 Understanding Algorithm Basics

2.2 Constructing Simple Algorithms

2.3 Analyzing Algorithm Efficiency

2.4 Applying Algorithms to Real-World Problems

3 Chapter 3 — Implementing Computational Solutions 4 classes

3.1 Understanding Problem Decomposition

3.2 Designing Algorithms with Flowcharts

3.3 Translating Algorithms into Pseudocode

3.4 Testing and Debugging Computational Solutions

Logic & Computational Thinking

About This Certification

Course Curriculum

Enrol through an accredited centre

Logic & Computational Thinking

About This Certification

Course Curriculum

Enrol through an accredited centre

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