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Parent Programme
Bachelor of Science in Computing (Level 7 NFQ)
Level 6
Computational Thinking & Problem-Solving
Reference Code: M1.2
Year 1
Fall Semester 1
12 Weeks X 3.15 Hours per week

Computational Thinking and Problem Solving Module

Computational Thinking and Problem Solving units

 Problem solving

  • The Problem-Solving Process
  • Defining the Problem
  • Analysing Problems
  • Gathering Information
  • Interpreting Data
  • Finding Solutions

Logic - computational thinking

  • Introduction to computational thinking
  • Set Theory
  • Introduction to Boolean algebra
  • Boolean operators OR, AND NOT
  • Logic gates, Truth tables and Boolean expressions
  • Basic rules of Boolean algebra

Data Representation and Number Systems

  • Computational thinking
  • Binary, octal and hexadecimal notation
  • Conversion from one data representation to another
  • Simple binary and hexadecimal arithmetic

Algorithms and Flowcharts

  • Introduction to algorithms
  • Algorithm analysis
  • Data structures
  • Sorting and searching
  • Flowchart symbols and their meaning
  • Drawing flowcharts

Critical thinking and Writing

  • Finding evidence
  • Analysing evidence
  • Inferences
  • Facts and opinions
  • Common errors in reasoning
  • Valid and invalid arguments
  • Using critical thinking to make decisions
  • Analysing arguments in the writing of others

Minimum Intended Learning Outcomes (MIMLOs)

Upon successful completion of this module, the learner should be able to:
LO 1
Outline the steps involved in problem solving.
LO 2
Draw logic gates and create truth tables.
LO 3
Apply Boolean rules to real-life contexts.
LO 4
Develop algorithms and flowcharts.
LO 5
Evaluate writing from a critical perspective..


1, 2, 3
CA 1 – Individual
4, 5
CA 2 – Group

Reassessment Opportunity

Where the combined marks of the assessment and examination do not reach the pass mark the learner will be required to repeat the element of assessment that they failed. Reassessment materials will be published on Moodle after the Examination Board and will be aligned to the MIMLOs and learners will be capped at 40% unless there are personal mitigating circumstances.

Aims & Objectives

The aim of this module is to equip learners with the fundamentals and the practical applications of computational thinking and practical approaches within the problem-solving process. Computational thinking and problem solving skills ensure good practice in programming and general computations which are consistently required throughout the module and the programme.

This module will ensure learners meet the following objectives:

  • Understand the steps in the problem-solving process.
  • Construct Boolean logic circuits from a mathematical perspective and evaluate how Boolean searches are used in the real world.
  • Create algorithms.
  • Build flowcharts.
  • Devise logical arguments in the wider ICT context.
  • Operate effectively using a range of skills and tools both individually and in groups.