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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Programming Fundamentals III
Module Code CA278
School School of Computing
Module Co-ordinatorSemester 1: Jennifer Foster
Semester 2: Jennifer Foster
Autumn: Jennifer Foster
Module TeachersJennifer Foster
Manoj Kesavulu
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 continuing course on computer programming. Students will consolidate their knowledge of fundamental data structures and algorithms: how and when to use them in computational problem solving. Students will also learn to use the technique of recursion. They will also be introduced to the concepts of object-oriented programming (classes, objects, methods and attributes, etc.), and will learn how to design and write object-oriented programs.

Learning Outcomes

1. Demonstrate an understanding of the properties of fundamental algorithms and data structures
2. Solve computational problems using the technique of recursion
3. Implement fundamental algorithms and data structures in a computer programming language
4. Design algorithms requiring the use of fundamental algorithms and data structures
5. Demonstrate an understanding of the fundamental concepts of object-oriented programming
6. Solve computational problems using object-oriented programming techniques

Workload Full-time hours per semester
Type Hours Description
Lecture24Twice weekly lecture
Laboratory242 hour lab once a week
Assignment Completion30Project work
Independent Study47This reflects the work carried out by students outside the lecture (reading background material, finishing lab assignments)
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

Data structures
How to use basic data structures in a program, and how to choose the appropriate data structure

How to write functions which call themselves

Object-oriented Programming
Introductory object-oriented programming. How to write classes, how to create objects of a particular class, how to invoke methods on objects

Assessment Breakdown
Continuous Assessment50% Examination Weight50%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Practical/skills evaluationWeekly Lab Worksheets - During the laboratory sessions, the students will work through a series of practical programming problems10%Every Week
Group project Students will be tasked to design and implement a program on a problem of their choosing20%Once per semester
Practical/skills evaluationLab Exam - Students will take a lab exam at the midpoint of the semester20%Once per semester
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

  • John M. Zelle: 2004, Python Programming, Franklin, Beedle & Associates, Inc., 9781887902991
Other Resources

0, Website, 0, Python 3 Tutorial, https://docs.python.org/3/tutorial/,
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