2022/23 Undergraduate Module Catalogue

XJCO3011 Web Services and Web Data

10 creditsClass Size: 75

Module manager: Dr Mohammad Ammar Alsalka
Email: m.a.alsalka@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

Pre-requisite qualifications

A basic understanding of web programming fundamentals and one or more web programming languages.

This module is not approved as a discovery module

Module summary

In this module, you will learn how search engines and other key web services work. You will learn how cloud computing provides such services and how to build applications that make use of these services. You will also learn how to incorporate open and linked data into web applications.

Objectives

On completion of this module, students will be able to:

- Understand in detail how search engines work
- Understand the different architectures and foundational technologies
of web services
- Appreciate the role played by cloud computing in providing web services
- Understand the concepts of and philosophy behind linked and open data
- Develop applications that consume and aggregate sources of open data
- Implement web services and develop web applications that use these services
- Develop certain components of a search engine

Learning outcomes
On completion of the module students should have provided evidence of being able to:
-understand and demonstrate coherent and detailed subject knowledge and professional competencies some of which will be informed by recent research/scholarship in the discipline;
-deploy accurately standard techniques of analysis and enquiry within the discipline;
-demonstrate a conceptual understanding which enables the development and sustaining of an argument;
-describe and comment on particular aspects of recent research and/or scholarship;
-appreciate the uncertainty, ambiguity and limitations of knowledge in the discipline;
-make appropriate use of scholarly reviews and primary sources;
-apply their knowledge and understanding in order to initiate and carry out an extended piece of work or project;

Syllabus

Search engine architecture; web crawlers; page indexing and ranking; web
service architectures; scalability; cloud-based systems; overview of XML & SOAP in web services; use of REST
architecture for web services; linked data and open data; handling of common
data formats (XML, CSV, JSON, etc); data consumption and aggregation

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

Students will have the opportunity to receive formative feedback in lab classes.

Coursework assignments

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Coursework	30.00
Assignment	Coursework	30.00
Total percentage (Assessment Coursework)		60.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr	40.00
Total percentage (Assessment Exams)		40.00

Resits are assessed by coursework only.

Reading list

There is no reading list for this module

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

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