Module: Programming Fundamentals II

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Programming Fundamentals II
Module Code	CA277 (ITS) / CSC1034 (Banner)
Faculty	Engineering & Computing	School	Computing
Module Co-ordinator	Sahraoui Dhelim
Module Teachers	Annalina Caputo, Hossein Javidnia, Stephen Blott
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Repeat examination
Resits will be available for both the continuous assessment and the written exam.

Description

This is a second course on computer programming. Students will learn to use structured data types including arrays (known as lists in some programming languages) and dictionaries (known as hash-maps in some programming languages). Students will be able to design simple algorithms using these structures, and write and debug computer programs requiring these data structures. Students will also learn how to write procedures/functions.

Learning Outcomes

1. write, debug and test computer programs using structured data types (arrays and dictionaries).
2. write, debug and test computer programs using functions/procedures.
3. design algorithms for solving computational problems requiring structured data types and functions/procedures.
4. estimate the complexity of computer programs involving structured data types and functions/procedures.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Laboratory	24	Weekly lab 1. This will include a brief presentation, discussion and then laboratory tasks.
Laboratory	24	Weekly lab 2. This will include a brief presentation, discussion and then laboratory tasks.
Independent Study	24	Studying course material.
Independent Study	53	Independent learning and lab-exam/exam preparation.
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Arrays/lists
Arrays/lists: basics, iteration, algorithms

Dictionaries/hash-maps
dictionary properties, using dictionaries in algorithms

Functions
Writing functions, designing good functions, using functions, computational costs

Algorithms
Algorithms using arrays and dictionaries, properties of those algorithms, implementation of those algorithms

Sorting, searching
selection sort, insertion sort and binary search

Assessment Breakdown
Continuous Assessment	50%	Examination Weight	50%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Practical/skills evaluation	Lab exam 1.	10%	Week 4
Practical/skills evaluation	Lab Exam 2.	20%	Week 8
Practical/skills evaluation	Lab exam 3.	20%	Week 12

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1

Indicative Reading List

Other Resources

None