2022/23 Undergraduate Module Catalogue

XJCO1721 Object Oriented Programming

10 creditsClass Size: 100

Module manager: Dr Nick Efford
Email: n.d.efford@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

This module is not approved as a discovery module

Module summary

This module builds on earlier programming modules and focuses on the object-oriented paradigm, one of the most important programming paradigms in industry. In order to develop software in object-oriented programming languages it is essential to understand the fundamental differences between object-oriented and procedural programming and how the design process differs between the two paradigms. This module introduced the techniques and tools for designing, implementing, testing and debugging object-oriented programs.

Objectives

This module provides the fundamental knowledge for developing in an object oriented manner and develops transferable abstract modelling and problem solving techniques.

Learning outcomes
On successful completion of this module a student will have demonstrated the ability to:

- compare and contrast object oriented programming to other programming paradigms.
- design and implement object oriented programs that demonstrate appropriate use of object oriented design principles.
- select and use appropriate data structures for a given problem.
- select and use appropriate tools for developing object oriented programs.

Skills outcomes
Programming

Syllabus

This module covers the following 4 topic areas:

- Object oriented programming philosophy : reasons for adopting object orientation, comparison with other programming paradigms, inheritance and polymorphism.
- Object oriented programming constructs :- classes, objects, interfaces, abstract classes, class hierarchies and sub-typing.
- Object oriented design principles : encapsulation, information hiding, single responsibility principle and Liskov's Substitution principle
- Data structures in object oriented programming : understand the application of stacks, queues, linked lists and maps and when to use static and dynamic data structures.

Teaching methods

Delivery type	Number	Length hours	Student hours
Laboratory	10	2.00	20.00
Lecture	20	1.00	20.00
Private study hours			60.00
Total Contact hours			40.00
Total hours (100hr per 10 credits)			100.00

Opportunities for Formative Feedback

Coursework assignments

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
In-course Assessment	Coursework 2	40.00
In-course Assessment	Coursework 1	30.00
In-course Assessment	Exercises	30.00
Total percentage (Assessment Coursework)		100.00

This module is re-assessed by coursework.

Reading list

The reading list is available from the Library website

Last updated: 01/06/2022 16:59:02

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