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BSc Computer Science (Human Computer Interaction) with Industrial Experience

Year of entry: 2021

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Course unit details:
Documents and Data on the Web

Unit code	COMP38211
Credit rating	10
Unit level	Level 3
Teaching period(s)	Semester 1
Offered by	Department of Computer Science
Available as a free choice unit?	No

Overview

This course unit will enable students to explore principles and techniques that underpin the web, and to investigate how these are applied to provide webs of documents and data. In so doing, the concepts and standards associated with resource identification, access, indexing, classification/categorisation and scalability will be introduced, along with recurring functionalities such as publication and search.

Aims

This course unit is aimed at providing insights into and experience of techniques relating to searching and retrieving documents and data on the web. Fundamental drivers, concepts and techniques for using and maintaining the web of documents and data are presented and discussed in workshop settings, while techniques in practice are applied and evaluated in the laboratory.

Learning outcomes

At the end of this course a student will be able to:

identify the key properties of web architectures and standards
identify key challenges in indexing and searching documents and data available on the web
discuss how key web properties have been applied to the document web, and distinguish between different techniques for document indexing, classification/categorisation and search
discuss how key web properties have been applied to the web of data, and demonstrate how they underpin data publication and consumption
apply and evaluate techniques employed in cloud services, within the context of tasks dealing with data and document webs

Syllabus

At the end of this course a student will be able to:

identify the key properties of web architectures and standards

identify key challenges in indexing and searching documents and data available on the web

discuss how key web properties have been applied to the document web, and distinguish between different techniques for document indexing, classification/categorisation and search

discuss how key web properties have been applied to the web of data, and demonstrate how they underpin data publication and consumption

apply and evaluate techniques employed in cloud services, within the context of tasks dealing with data and document webs

Teaching and learning methods

Lectures, workshops, coursework, face to face mentoring by TAs.

Assessment methods

Method	Weight
Written assignment (inc essay)	100%

Feedback methods

Workshops, practicals, surgeries, coursework

Study hours

Scheduled activity hours
Lectures	22
Practical classes & workshops	6

Independent study hours
Independent study	72

Teaching staff

Staff member	Role
Goran Nenadic	Unit coordinator

Additional notes

Indicative Reading List

Manning, Raghavan and Schutze (2008) Introduction to information retrieval, ISBN:9780521865715

Lin and Dyer (2010) Data-intensive text processing with MapReduce, ISBN:9781608453429

Miner and Shook (2012) MapReduce design patterns: building effective algorithms and analytics for Hadoop and other systems, ISBN:9781449327170

Williams (2012) Economics of cloud computing: an overview for decision makers, ISBN:9781587143069

Heath and Bizer (2011) Linked data: evolving the web into a global data space, ISBN:9781608454303

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