MQF Level 5 Programming Foundations [20 ECTS Credits]

Course Length
Total 26 Hours (8 Sessions)
Intakes

November 2021

Next Intake
November 02, 2021
Class Schedule
Nov 2, 9, 16, 23, 30, Dec 7 (5.30 - 8.30 pm, Weekend 9 - 1 pm)
Awarding body
OTHM

€350.00 (EU / Maltese)

Reg Fee + Assignment Fee €110
MQF Level 5 Programming Foundations [20 ECTS Credits]
The aim of this unit is to give learners a basic understanding of Object-oriented programming languages and how to produce effective code. It also enables technical staff who are not programmers to gain a perspective of software development. The course is language neutral and teaches general concepts.

Overview

Learning Outcomes - The learner will:

  1. Understand the basic principles of algorithms.
    Assessment Criteria - The learner can:
    1. Explain the concept of an algorithm.
    2. Describe common algorithmic techniques and solutions.
    3. Create a flowchart from an algorithm.

  2. Understand the basic principles of computer programming.
    Assessment Criteria - The learner can:
    1. Describe computer programming principles.
    2. Summarise the historical development of computer programming.
    3. Explain major components of a programming language.
    4. Compare the strengths and limitations of modern computer programming languages.

  3. Understand the basics of an Object-oriented Programming language.
    Assessment Criteria - The learner can:
    1. Explain the benefits of object-oriented design.
    2. Evaluate when to use Object-oriented design methodology.
    3. Explain how objects are used in Object-oriented programming.
    4. Explain the steps in creating an Object-oriented program.
    5. Explain how to compile a program and debug codes.

  4. Be able to code and compile software using a choice of object-oriented Programming language.
    Assessment Criteria - The learner can:
    1. Design object-oriented programs involving multiple objects.
    2. Explain the impact of style on developing and maintaining programs.
    3. Develop programs using best practice.
    4. Implement, test and debug solutions.


Learning Outcome 1

  • History of Algorithms.
  • Definition of algorithms
  • Input
  • Output
  • Definiteness
  • Finiteness
  • 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.


Learning Outcome 2

  • Definition, principles of programming
  • Abstraction
  • KISS
  • Open/Closed entities
  • Coupling
  • Cohesion.
  • Programming history
  • Charles Babbage's Analytical Engine
  • the concept of storing data in machine-readable form
  • low & high-level languages (COBOL, FORTRAN, and Lisp)
  • Moore’s law
  • Procedural
  • OO
  • 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.


Learning Outcome 3

  • 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.


Learning Outcome 4

  • 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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