Module: Programming Fundamentals III

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Programming Fundamentals III
Module Code	CA278 (ITS) / CSC1035 (Banner)
Faculty	Engineering & Computing	School	Computing
Module Co-ordinator	Jennifer Foster
Module Teachers	Manoj Kesavulu
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 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

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	24	Twice weekly lecture
Laboratory	24	2 hour lab once a week
Assignment Completion	30	Project work
Independent Study	47	This 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

Recursion
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 Assessment	50%	Examination Weight	50%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Practical/skills evaluation	Weekly Lab Worksheets - During the laboratory sessions, the students will work through a series of practical programming problems	10%	Every Week
Group project	Students will be tasked to design and implement a program on a problem of their choosing	20%	Once per semester
Practical/skills evaluation	Lab Exam - Students will take a lab exam at the midpoint of the semester	20%	Once per semester

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

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/,