Programming Fundamentals

MQF Level 5

10 ECTS

Programming Fundamentals

Module Type
Compulsory
ECTS Credits
10 ECTS
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Module Description

This module introduces students to the core principles of programming, providing a solid foundation to computational thinking and problem-solving using Python. Designed for students with no prior coding experience, the module focuses on developing practical programming skills through hands-on learning, structured exercises, and real-world applications. Students will explore fundamental concepts such as variables, control structures, data types, functions, and algorithmic logic, while learning to write clean, efficient, and well-documented code.

The module emphasises the integration of theory and practice, guiding students from basic syntax to the design and implementation of functional programs. Key topics include input/output operations, conditional and iterative structures, error handling, debugging techniques, and an introduction to data structures such as lists and dictionaries.

Students will also learn best practices in code readability and modular design, fostering habits essential for collaborative and professional software development. Through interactive coding labs, project-based assignments, and collaborative problem-solving activities, students will apply their knowledge to practical challenges by building simple applications.

By the end of the module, students will be equipped to tackle simple programming topics and confidently use Python as a tool for personal projects.

Entry Requirements

Candidates who apply for this course will possess:

  • A qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject / a related (professional) qualification) and a pass in English Language* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).

In the case of students who do not possess all the formal required academic qualifications, then the Recognition of Prior Learning (RPL) process could be applied such that if evidence of equivalent learning and/or related experience is found then the applicant could still be accepted on the course. Evidence may include:

  • A detailed CV clearly outlining relevant professional experience in IT or related fields.
  • Employer reference letters outlining job role, duration, and key competencies.
  • Related documentation (e.g. work portfolio) such as project reports, system designs, code samples, certifications from training, or any materials demonstrating applied IT knowledge. In the case of a portfolio, the Admissions Board will evaluate how the applicant’s experience matches the skills and knowledge expected at MQF Level 4 in IT or related fields. There needs to be a thorough evidence of learning that the applicant has acquired knowledge, skills, and competences that are equivalent to formal learning outcomes.

Such RPL process may subject applicants to an interview held with a board of experts within the field, chosen specifically by IDEA College, so as to verify their practical knowledge, experiences, and prior learning.

*Students whose first language is not English and do not possess an ‘O’ level pass in English Language will be required to demonstrate English language capability at IELTS level 6.0 or equivalent.

Target Audience

This qualification is designed for learners who wish to gain a solid foundation in modern Information Technology (IT) practices, with a particular focus on workplace-relevant technologies and digital tools. The course targets the following types of learners:

  • Post-secondary school leavers who wish to pursue a career in information technology or related fields, and are looking for a practical, industry-relevant qualification.
  • Working professionals from non-IT backgrounds seeking to upskill or reskill in order to transition into IT-related roles within their organisation or the broader job market.
  • Adult learners returning to education who are interested in gaining contemporary digital competencies to enhance their employability.
  • Entry-level IT staff or administrative personnel who wish to formalise and expand their knowledge of core IT concepts, especially in the areas of cybersecurity, cloud computing, data management, and programming.
  • Individuals aiming to pursue further studies in computing or information systems, for which this course provides an ideal stepping stone, particularly through the Certificate.

Career Paths

This programme equips learners with the skills and knowledge pertinent to the following occupations:

  • IT Support Technician / Helpdesk Support
  • Junior Systems Administrator
  • Cybersecurity Assistant
  • Cloud Support Associate
  • Data Analyst (Entry-Level)
  • Junior Software Developer
  • Digital Transformation Assistant

How you’ll be assessed

The course comprises:

  • Evening classes for part-time courses.
  • Classes held throughout the day for full-time courses.
  • Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
  • Self-study hours comprising research, reading and assignment work.

Assessment

Assessment is carried out via two mandatory components:

  • Assessment 1
  • Assessment 2

The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules. 

Assignment
Discussions

Learning Outcomes

Competences:

  • Set up and configure a Python development environment.
  • Carry out tasks involving algorithmic problem-solving.
  • Manage code development workflows.
  • Create functional Python applications.

Skills:

  • Use package managers (e.g., pip) to manage libraries.

  • Set up development environments using IDEs and virtual environments.

  • Organise project files and folders effectively.

  • Design algorithms using pseudocode or flowcharts.

  • Write Python scripts to automate tasks.

  • Use debugging tools to fix errors.

  • Apply loops, conditionals, and functions for logical solutions.

  • Handle errors using try/except blocks.

  • Write clean, well-commented, and scalable code.

  • Work with file I/O for interactive applications.

  • Build simple Python applications to solve real-world problems.

Module-Specific Learner Skills:

At the end of the module/unit, the learner will be able to:

  • Adopt Python-specific syntax and best practices to write concise, idiomatic code.
  • Differentiate Python’s approach to programming (e.g., dynamic typing, indentation-based blocks) from other languages.
  • Document code using inline comments to enhance collaboration.

Module-Specific Digital Skills and Competences:

  • Translate manual workflows (e.g., file management, data formatting) into automated Python scripts
  • Map real-world scenarios (e.g., a library management system) to computational models using abstraction.
  • Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials, etc.
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