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About This Certification

Who Is This For?

This certification is designed for aspiring software developers and system analysts who are at the beginning of their careers. It is ideal for individuals with limited or no prior experience in logic and computational concepts, aiming to build a solid foundation for future professional growth.

Course Curriculum

6 subjects • 18 chapters • 72 classes

Practical Applications

3 chapters • 12 classes • 75 marks • 6h

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

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

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

Computational Systems Analysis

3 chapters • 12 classes • 75 marks • 6h

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

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

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

Logical Problem Solving

3 chapters • 12 classes • 100 marks • 8h

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

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

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

Data Structures

3 chapters • 12 classes • 75 marks • 6h

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

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

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

Basic Algorithms

3 chapters • 12 classes • 75 marks • 6h

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

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

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

Introduction to Logical Reasoning

3 chapters • 12 classes • 100 marks • 8h

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

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

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

Assessment & Grading

Assessment Methods

Written Examination
Practical Assignment
Portfolio Assessment

Theory

70%

Practical

20%

Project

10%

Workshop N/A

IT-SDA-W
Workshop Stage
500 total marks
Pass: 300 (60%)
Validity: Lifetime
IT Industry

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Logic & Computational Thinking

About This Certification

Who Is This For?

Course Curriculum

Assessment & Grading

Assessment Methods

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