Module Code: H6PSP
Long Title Problem Solving and Programming Concepts
Title Problem Solving and Programming Concepts
Module Level: LEVEL 6
EQF Level: 5
EHEA Level: Short Cycle
Credits: 5
Module Coordinator: FRANCES SHERIDAN
Module Author: FRANCES SHERIDAN
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Solve a range of classic puzzles.
LO2 Develop problem solving capabilities.
LO3 Express algorithmic solutions to defined problems using accepted documentation methods.
LO4 Understand the basic components of programming,
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Strategies for Problem Solving
• Types of problems. • Using computers to solve problems. • Steps in analysing a problem and designing an appropriate solution. • Classic Puzzles e.g. Crossing a River, The Tower of Hanoi.
Algorithmic Problem Solving
• Understanding the purpose of an algorithm. • Identifying standard documentation techniques such as flowcharts or pseudocode.
Beginning Problem Solving Concepts for the Computer
• An introduction to programming structure. • Constants & variables. • Data types. • How the computer stores data. • Functions Operators Expressions & equations.
Problem Solving & Control Statements
• Understanding when to use a control statement. • Problem solving with Decision. • Problem solving with Case Logic Structure. • Problem solving with Loops.
Evaluating Algorithmic Solutions
• Apply test plans to algorithmic solutions. • Understanding algorithm efficiency.
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Practical (0260) % of total: 25
Assessment Date: n/a Outcome addressed: 1,2,3,4
Non-Marked: No
Assessment Description:
Weekly practical may involve students demonstrating their ability to solve puzzles or writing algorithms to solve defined problems.
Assessment Type: Assignment % of total: 50
Assessment Date: n/a Outcome addressed: 2,3
Non-Marked: No
Assessment Description:
An assignment may involve students working in teams to solve larger scale problems.
Assessment Type: Mid Semester Examination % of total: 25
Assessment Date: n/a Outcome addressed: 2,4
Non-Marked: No
Assessment Description:
A mid semester examination may comprise questions to facilitate students in demonstrating their problem solving capabilities and knowledge of basic programming concepts.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Practical No Description 2 Every Week 2.00
Independent Learning No Description 6.5 Once per semester 0.54
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Lab No Description 1 Every Week 1.00
Independent Learning No Description 89 Once per semester 7.42
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Roland Backhouse. (2011), Algorithmic Problem Solving, 1st. Wiley, p.432, [ISBN: 9780470684535].
  • Maureen Sprankle & Jim Hubbard. (2011), Problem Solving & Programming Concepts, 9th. Pearson Education, p.524, [ISBN: 978-027375221].
  • Walter Savich. (2014), Java: An Introduction to Problem Solving and Programming, 7th. Addison-Wesley.
Supplementary Book Resources
  • Herbert Schildt. (2014), Java: A Beginner's Guide, 6th. McGraw-Hill Osborne, p.728, [ISBN: 978-007180925].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: