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Qualification - OTHM Level 4 Diploma in Information Technology
Unit Name - Programming Foundations
Unit code - A/617/2265
Unit Level - Level 4
Assignment Title - Programming Foundations
Unit Credit - 20
Learning Outcome 1: Understand the basic principles of algorithms.
Answer: For a Level 4 Diploma in Information Technology, understanding the basic principles of algorithms is fundamental to developing effective and efficient software solutions. An algorithm is essentially a step-by-step set of instructions designed to solve a specific problem or perform a particular task. Key principles include definiteness, meaning each step must be clear and unambiguous; finiteness, ensuring the algorithm terminates after a finite number of steps; and effectiveness, where each instruction must be basic enough to be carried out. Students learn about different types of algorithms, such as sorting algorithms (e.g., bubble sort, quicksort, merge sort) for arranging data, and searching algorithms (e.g., linear search, binary search) for finding specific elements. A critical aspect is algorithm analysis, which involves evaluating an algorithm's time complexity (how its running time grows with input size) and space complexity (how much memory it uses). This analysis, often expressed using Big O notation, helps in choosing the most optimal algorithm for a given problem, especially when dealing with large datasets or performance-critical applications. Understanding these principles enables students to design, implement, and optimize code that is not only correct but also performs well and uses resources efficiently.
Learning Outcome 2: Understand the basic principles of computer programming.
Answer: In the context of a Level 4 Diploma in Information Technology, understanding the basic principles of computer programming is crucial for any aspiring IT professional. This involves grasping core concepts that are universal across various programming languages. Key among these are variables and data types, which enable the storage and manipulation of different kinds of information (e.g., numbers, text, true/false values). Students learn about control flow structures, including sequential execution (code running line by line), selection or conditional statements (like if-else for decision-making), and iteration or loops (for, while for repetitive tasks), which dictate the order in which instructions are executed. The concept of functions or modules is also fundamental, teaching how to break down complex problems into smaller, reusable blocks of code, promoting efficiency and readability. Furthermore, an understanding of syntax (the specific rules and grammar of a programming language) and debugging (identifying and fixing errors in code) is essential for writing functional programs. Finally, students are introduced to basic problem-solving methodologies and how to translate real-world problems into algorithmic solutions that can be implemented through code, laying the groundwork for more advanced software development concepts.
Learning Outcome 3: Understand the basics of an Object- oriented Programming language.
Answer: In essence, an Object-Oriented Programming (OOP) language is built around the concept of "objects," which are self-contained entities that combine both data (attributes) and the functions (methods) that operate on that data. This approach differs from traditional procedural programming by organizing code into reusable, modular units. Key principles include encapsulation, where an object's internal workings are hidden from external access, and inheritance, which allows new objects to be created based on existing ones, inheriting their properties and behaviors. Polymorphism, another cornerstone, enables objects of different classes to be treated as objects of a common type, allowing for more flexible and extensible code. By modeling real-world entities as objects, OOP aims to make software development more intuitive, maintainable, and scalable.
Learning Outcome 4: Be able to code and compile software using a choice of object-oriented Programming language.
Answer: To successfully code and compile software using an object-oriented programming language, one must first choose a language like Java, C++, or Python, and then ensure the appropriate development environment is set up. This typically involves installing a compiler or interpreter specific to the chosen language (e.g., GCC for C++, JDK for Java, or a Python interpreter). Writing the code involves using the language's syntax and adhering to OOP principles like creating classes, objects, and defining methods. For compiled languages like Java and C++, the source code (e.g., .java or .cpp files) is then transformed into an executable or bytecode (e.g., .class or .exe files) using a command-line tool (like javac or g++) or an integrated development environment (IDE). Interpreted languages like Python generally don't have a separate compilation step, as the interpreter reads and executes the code directly, though tools exist to "compile" Python into bytecode for performance or distribution. Finally, the compiled or interpreted program can be run to observe its behavior and verify its functionality.
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LO1 • History of Algorithms.
• Definition of algorithms
o Input
o Output
o Definiteness
o Finiteness
o Effectiveness.
• Brute Force.
• Greedy Algorithms: "take what you can get now" strategy.
• Divide-and-Conquer.
• Decrease-and-Conquer.
• Dynamic Programming.
• Transform-and-Conquer.
• Backtracking and branch-and-bound: generate and test methods.
• Flowchart symbols.
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LO2 • Definition, principles of programming
o Abstraction
o KISS
o Open/Closed entities
o Coupling
o Cohesion.
• Programming history
o Charles Babbage's Analytical Engine
o the concept of storing data in machine-readable form
o low & high-level languages (COBOL, FORTRAN, and Lisp)
o Moore's law
o Procedural
o OO
o Languages (COBOL, FORTRAN, Java, JavaScript, C#, C++, Python, PHP, Ruby on Rails)
• The main () Function
• The #include and #define directives
• The Variable Definition
• The Function Prototype
• Program Statements
• The Function Definition
• Program Comments
• SQL, Java, JavaScript, C#, C++, Python, PHP, Ruby on Rails.
• Compare; use, error handling, ease of use.
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LO3 • Code Reuse and Recycling
• Encapsulation
• Design Benefits
• Software Maintenance
• Classes and objects
• Arrays
• Lists
• Stacks
• Queues
• Trees
• Intermediate representations and their purpose.
• Arrays (1- and 2-dimensions)
• Implementation of queues
• Stacks and lists
• Debugger
• Breakpoints
• commands
• Use of IDEs
• data structure display/verification
• Use of debugging tools.
LO4 • Design using SQL, Java, JavaScript, C#, C++, Python, PHP, Ruby on Rails.
• Use Debugger, breakpoints, commands in the chosen language, C ++/JAVA/Python/or similar an OOPL.
• Code writing standards, comments, documentation
• Use of IDEs, test plan
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Learning Outcomes- The learner will:
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Assessment Criteria- The learner can:
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1. Understand the basic principles of algorithms.
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Explain the concept of an algorithm.
Describe common algorithmic techniques and solutions.
Create a flowchart from an algorithm.
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2. Understand the basic principles of computer programming.
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Describe computer programming principles.
Summarise the historical development of computer programming.
Explain major components of a programming language.
Compare the strengths and limitations of modern computer programming languages.
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3. Understand the basics of an Object- oriented Programming language.
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Explain the benefits of object oriented design.
Evaluate when to use Object-oriented design methodology.
Explain how objects are used in Object-oriented programming.
Explain the steps in creating an Object-oriented program.
Explain how to compile a program and debug codes.
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4. Be able to code and compile software using a choice of object-oriented
Programming language.
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Design object oriented programs involving multiple objects.
Explain the impact of style on developing and maintaining programs.
Develop programs using best practice.
Implement, test and debug solutions.
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