LAPT
London Academy of Professional Training
Workshop
N/A
Workshop
IT Industry
Logic & Computational Thinking
REF: IT-SDA-W
Who Is It 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.
Prerequisites
None
Awarding Body: LAPT — London Academy of Professional Training
Curriculum Overview
1
Practical Applications
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
2
Computational Systems Analysis
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
3
Logical Problem Solving
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
4
Data Structures
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
5
Basic Algorithms
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
6
Introduction to Logical Reasoning
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 Breakdown
70%
Theory
20%
Practical
10%
Project
Passing Mark: 300 / 500 (60%)
Methods: Written Examination, Practical Assignment, Portfolio Assessment
How to Enrol
Website: lapt.org
Email: info@lapt.org
Phone: +44 7513 283044
Address: 85 Great Portland Street, W1W 7LT, United Kingdom
Hours: Monday – Friday, 9AM – 5PM