Certificate in Programming Fundamentals (Language Neutral) — Certification Brochure

Open PDF ⬇ Download PDF ← Back to Profile
London Academy of Professional Training
Certificate
Certificate in Programming Fundamentals (Language Neutral)
Foundation Level
REF: IT-SDA-F  •  IT Centres  •  Software Development & Systems Analysis
6Subjects 24Chapters 110Classes 440Total Marks 60%Pass Mark LifetimeValidity
At a Glance
ReferenceIT-SDA-F
AwardCertificate
Assessment440 marks — 264 to pass (60%)
PrerequisitesNone
ValidityLifetime
Awarding BodyLAPT — London Academy of Professional Training
Curriculum
1 Introduction to Programming 4 chapters · 20 classes  90 marks
• 1 Understanding Programming Concepts and Computational Thinking — 5 classes
› 1.1 Defining Core Programming Concepts
› 1.2 Exploring Variables and Data Types
› 1.3 Understanding Control Structures
› 1.4 Applying Logical and Computational Thinking
› 1.5 Solving Problems with Algorithms
• 2 Data Types, Variables, and Operators — 5 classes
› 2.1 Understanding Basic Data Types
› 2.2 Exploring Variables and Their Uses
› 2.3 Mastering Arithmetic and Logical Operators
› 2.4 Applying String and Boolean Data Types
› 2.5 Solving Problems with Variables and Operators
• 3 Control Structures: Sequence, Selection, and Iteration — 5 classes
› 3.1 Understanding Sequence in Programming
› 3.2 Implementing Conditional Selection
› 3.3 Utilizing Iteration Constructs
› 3.4 Combining Sequence, Selection, and Iteration
› 3.5 Applying Control Structures in Real-world Problems
• 4 Basic Input/Output and Error Handling — 5 classes
› 4.1 Understanding Standard Input and Output
› 4.2 Implementing Input Functions in Programming
› 4.3 Exploring Output Techniques and Methods
› 4.4 Identifying and Managing Common I/O Errors
› 4.5 Applying Error Handling Strategies in Code
2 Algorithms and Logic 4 chapters · 20 classes  90 marks
• 1 Understanding Basic Algorithmic Concepts — 5 classes
› 1.1 Exploring What Algorithms Are
› 1.2 Understanding Algorithm Components: Inputs and Outputs
› 1.3 Identifying and Describing Basic Control Structures
› 1.4 Applying Pseudocode to Design Simple Algorithms
› 1.5 Analyzing Algorithm Efficiency and Effectiveness
• 2 Core Logic Structures and Constructs — 5 classes
› 2.1 Understanding Basic Logical Constructs
› 2.2 Implementing Conditional Statements
› 2.3 Exploring Loop Structures
› 2.4 Applying Logical Operators in Algorithms
› 2.5 Constructing and Analyzing Control Flow
• 3 Introduction to Algorithmic Efficiency — 5 classes
› 3.1 Understanding Algorithmic Efficiency
› 3.2 Exploring Time Complexity Concepts
› 3.3 Analyzing Space Complexity in Algorithms
› 3.4 Comparing Algorithms: Best, Average, and Worst Case Scenarios
› 3.5 Applying Efficiency Principles to Optimize Code
• 4 Designing and Analyzing Data Structures — 5 classes
› 4.1 Understanding Data Structures: Core Concepts and Types
› 4.2 Comparing Data Structures: Strengths and Weaknesses
› 4.3 Creating Data Structures: Basic Design Techniques
› 4.4 Analyzing Data Structures: Big O Notation and Complexity
› 4.5 Implementing Solutions: Choosing the Right Data Structure
3 Data Management Fundamentals 4 chapters · 20 classes  65 marks
• 1 Understanding Data Types and Structures — 5 classes
› 1.1 Exploring Primitive Data Types
› 1.2 Analyzing Composite Data Structures
› 1.3 Comparing Mutable and Immutable Types
› 1.4 Classifying Data Structures by Use Case
› 1.5 Implementing Data Structures in Applications
• 2 Data Storage and Retrieval Techniques — 5 classes
› 2.1 Understanding Data Storage Concepts
› 2.2 Exploring Data Retrieval Methods
› 2.3 Implementing Basic Data Structures
› 2.4 Comparing Data Storage Solutions
› 2.5 Applying Efficient Data Retrieval Techniques
• 3 Data Validation and Integrity Constraints — 5 classes
› 3.1 Understanding Data Validation Principles
› 3.2 Exploring Common Data Integrity Constraints
› 3.3 Implementing Data Validation Techniques
› 3.4 Analyzing the Impact of Integrity Constraints on Data
› 3.5 Applying Data Validation and Integrity in Practice
• 4 Basic Data Analysis and Manipulation — 5 classes
› 4.1 Understanding Data Types and Structures
› 4.2 Extracting and Loading Data for Analysis
› 4.3 Performing Basic Data Cleaning Techniques
› 4.4 Summarizing Data with Descriptive Statistics
› 4.5 Visualizing Data for Insightful Interpretation
4 Software Design Principles 4 chapters · 20 classes  65 marks
• 1 Understanding Core Software Design Principles — 5 classes
› 1.1 Introduction to Core Software Design Principles
› 1.2 Exploring Abstraction in Software Design
› 1.3 Understanding Encapsulation and Its Benefits
› 1.4 Implementing Modular Design for Flexibility
› 1.5 Applying Principles to Real-World Scenarios
• 2 Design Patterns and Their Applications — 5 classes
› 2.1 Understanding Design Patterns: An Overview
› 2.2 Exploring Creational Patterns: Building Through Instantiation
› 2.3 Harnessing Structural Patterns: Organizing Objects and Classes
› 2.4 Implementing Behavioral Patterns: Managing Communication and Workflow
› 2.5 Applying Design Patterns: Real-World Examples and Best Practices
• 3 Principles of Object-Oriented Design — 5 classes
› 3.1 Understanding the Core Concepts of Object-Oriented Design
› 3.2 Identifying and Defining Classes and Objects
› 3.3 Exploring Encapsulation and Information Hiding
› 3.4 Mastering Inheritance for Code Reusability
› 3.5 Implementing Polymorphism for Flexible Software Design
• 4 Designing for Scalability and Maintainability — 5 classes
› 4.1 Understanding Scalability and Maintainability Concepts
› 4.2 Analyzing System Requirements for Scalability
› 4.3 Implementing Design Patterns for Maintainability
› 4.4 Evaluating Design Decisions for Scalability
› 4.5 Applying Modular Design for Future Growth
5 Syntax Across Languages 4 chapters · 20 classes  65 marks
• 1 Understanding Basic Syntax Elements — 5 classes
› 1.1 Identifying Common Syntax Elements
› 1.2 Exploring Variable Declarations
› 1.3 Understanding Control Structures
› 1.4 Utilizing Functions and Procedures
› 1.5 Applying Syntax Rules in Practice
• 2 Control Flow Constructs — 5 classes
› 2.1 Understanding Conditional Statements
› 2.2 Exploring Loop Structures
› 2.3 Implementing Branching with Conditionals
› 2.4 Comparing Iterative Constructs Across Languages
› 2.5 Applying Control Flow to Solve Problems
• 3 Functions and Modular Syntax — 5 classes
› 3.1 Understanding Functions: Concepts and Terminology
› 3.2 Exploring Function Syntax: Parameters and Return Values
› 3.3 Implementing Modular Code: Breaking Down Problems
› 3.4 Applying Functions: Real-World Examples and Uses
› 3.5 Reviewing Function Syntax: Best Practices and Common Pitfalls
• 4 Error Handling and Exceptions — 5 classes
› 4.1 Understanding Error Types and Exceptions
› 4.2 Identifying and Interpreting Error Messages
› 4.3 Implementing Basic Try-Catch Blocks
› 4.4 Managing Multiple Exceptions
› 4.5 Creating Custom Error Handlers
6 Practical Programming Applications 4 chapters · 10 classes  65 marks
• 1 Understanding Programming Concepts and Tools — 5 classes
› 1.1 Explore Basic Programming Concepts
› 1.2 Identify Core Programming Tools
› 1.3 Demonstrate Syntax and Structure
› 1.4 Utilize Software Development Environments
› 1.5 Implement Debugging Techniques
• 2 Problem Solving and Algorithm Development — 5 classes
› 2.1 Understanding Problem-Solving Frameworks
› 2.2 Identifying and Defining Programming Problems
› 2.3 Developing Step-by-Step Algorithms
› 2.4 Implementing Algorithms Using Pseudocode
› 2.5 Evaluating and Refining Algorithmic Solutions
• 3 Implementing Code Logic and Structures
• 4 Testing, Debugging, and Optimizing Code
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.