Unit name | Cloud Computing and Big Data (Teaching Unit) |
---|---|
Unit code | COMSM0072 |
Credit points | 0 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Schien |
Open unit status | Not open |
Pre-requisites |
COMS10012 Software Tools or equivalent. Competent ability to use Unix/Linux command-line interface, and some experience of shell-scripting. Basic knowledge of Python |
Co-requisites |
EITHER Assessment Units COMSM0071 Cloud Computing and Big Data (Exam assessment, 10 credits) OR COMSM0070 Cloud Computing and Big Data (Coursework assessment, 20 credits). Please note: COMSM0072 is the Teaching Unit for the Cloud Computing and Big Data option. Single Honours Computer Science students can choose to be assessed by either examination (10 credits, COMSM0071) or coursework (20 credits, COMSM0070) by selecting the appropriate co-requisite assessment unit. Any other students that are permitted to take the Cloud Computing and Big Data option are assessed by examination (10 credits) and should be enrolled on the co-requisite exam assessment unit (COMSM0071). |
School/department | School of Computer Science |
Faculty | Faculty of Engineering |
This unit aims to give a comprehensive overview of elastically scalable and remotely-accessed "cloud" computing services such as those offered by Amazon, Google, Microsoft, and Oracle. and associated technologies. The unit commences with discussion of the economics that are driving the rapid development and adoption of cloud computing in a variety of industries; it then explores the provisioning of cloud services moving from infrastructure as a service (IaaS), through platform as a service (PaaS), software as a service (SaaS), and on to functions-as-a-service (FaaS, or "Serverless" cloud computing).
The first part of the unit covers core cloud technologies and services, and teaches contemporary cloud-based software development practices such as containerization, microservice architectures, and cloud orchestration. The second part of the unit covers core cloud-based software systems for managing, manipulating, and analysing large-scale data (what is colloquially known as "big data"). The unit closes with discussion of current research issues.
General ILOs
By the end of the unit students will be able to:
In addition to the general ILOs above, when assessed by examination, students will be able to:
In addition to the general ILOs above, when assessed by coursework, students will have an:
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures and self-directed exercises.
Teaching will take place over Weeks 1-7, with coursework support in weeks 8-10 and for students assessed by examination, consolidation and revision sessions in Weeks 11 and 12..
Examination details:
January timed assessment (100%, 10 credits).
OR
Coursework details:
Coursework (100%, 20 credits), to be completed over weeks 8-11.