10 Credits SPRING



Aims/Description: This course is concerned with getting acquainted with the present and future of the intelligent Web. We will read and discuss both introductory descriptions and cutting-edge research papers. Topics will include: 1) Basic technologies for searching and mining the WWW2) Large scale methodologies for the Web (e.g. Mapreduce) 3) Client server architectures4) Advanced mobile Web apps5) Web 2.0 and Web 3.0 concepts, including mining social media (e.g. Twitter and Facebook) 5) The Web of Data and the Semantic Web.Students should be aware that there are limited places available on this course.

Restrictions on availability: Only available to students within Department of Computer Science. This module cannot be taken with COM3517.The maximum number of students allowed on the module is 130.

Staff Contact: CIRAVEGNA FABIO
Teaching Methods: Lectures, Laboratory work, Independent Study,
Assessment: Course work

Notes: This unit forms part of an accredited degree programme

Information on the department responsible for this unit (Computer Science):

Departmental Home Page
Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK