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LAPT
London Academy of Professional Training
Certificate
Logic & Computational Thinking
Workshop Level
REF: IT-SDA-W
• IT Centres
• Software Development & Systems Analysis
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| 6Subjects | 18Chapters | 72Classes | 440Total Marks | 60%Pass Mark | LifetimeValidity |
At a Glance
| Reference | IT-SDA-W |
| Award | Certificate |
| Assessment | 440 marks — 264 to pass (60%) |
| Prerequisites | None |
| Validity | Lifetime |
| Awarding Body | LAPT — London Academy of Professional Training |
Curriculum
| 1 | Basic Algorithms | 3 chapters · 12 classes 65 marks |
• 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
| 2 | Computational Systems Analysis | 3 chapters · 12 classes 65 marks |
• 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
| 3 | Data Structures | 3 chapters · 12 classes 65 marks |
• 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
| 4 | Introduction to Logical Reasoning | 3 chapters · 12 classes 90 marks |
• 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
| 5 | Logical Problem Solving | 3 chapters · 12 classes 90 marks |
• 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
| 6 | Practical Applications | 3 chapters · 12 classes 65 marks |
• 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
| LAPT — 85 Great Portland Street, W1W 7LT, London, United Kingdom info@lapt.org • +44 7513 283044 • lapt.org |
UKPRN 10067351 • Company 4984798 Curriculum current at the date of issue. |