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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Programming Fundamentals II
Module Code CA277
School School of Computing
Module Co-ordinatorSemester 1: Hossein Javidnia
Semester 2: Hossein Javidnia
Autumn: Hossein Javidnia
Module TeachersStephen Blott
Annalina Caputo
Alireza Dehghani
Hossein Javidnia
NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Repeat examination
Resits will be available for both the continuous assessment and the written exam.

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.

Workload Full-time hours per semester
Type Hours Description
Laboratory24Weekly lab 1. This will include a brief presentation, discussion and then laboratory tasks.
Laboratory24Weekly lab 2. This will include a brief presentation, discussion and then laboratory tasks.
Independent Study24Studying course material.
Independent Study53Independent 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: basics, iteration, algorithms

dictionary properties, using dictionaries in algorithms

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

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 Assessment50% Examination Weight50%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Practical/skills evaluationLab exam 1.10%Week 4
Practical/skills evaluationLab Exam 2.20%Week 8
Practical/skills evaluationLab exam 3.20%Week 12
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 1
Indicative Reading List

    Other Resources

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