COMP06255 2018 Cloud Computing

General Details

Full Title
Cloud Computing
Transcript Title
Cloud Computing
Code
COMP06255
Attendance
N/A %
Subject Area
COMP - Computing
Department
COEL - Computing & Electronic Eng
Level
06 - NFQ Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2018 - Full Academic Year 2018-19
End Term
9999 - The End of Time
Author(s)
John Weir, Colm Davey
Programme Membership
SG_KSMAR_C06 201800 Higher Certificate in Science in Computing in Smart Technologies SG_KSMAR_B07 201800 Bachelor of Science in Computing in Smart Technologies SG_KAPPL_C06 201800 Higher Certificate in Science in Computing in Application Design and User Experience SG_KAPPL_B07 201800 Bachelor of Arts in Computing in Application Design and User Experience SG_KSODV_C06 201800 Higher Certificate in Science in Software Development SG_KCMPU_H08 201900 Bachelor of Science (Honours) in Computing SG_KSMAR_C06 201900 Higher Certificate in Science in Computing in Smart Technologies
Description

This module will introduce the learner to the fundamentals of cloud computing. The learner will be exposed to the many services employed by cloud providers while understanding the benefits of providing computing services over the Internet. Practical experience will be obtained configuring and deploying appropriate cloud platform services provided by one of the top three cloud providers.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Describe the evolution, terminology, concepts and costs related to cloud computing

2.

Configure and deploy appropriate cloud services, including a scalable web application

3.

Employ cloud APIs to manage workflow and demonstrate resource-intensive tasks such as speech recognition and language translation

4.

Evaluate cloud storage options and configure and communicate with a NoSQL cloud database

Teaching and Learning Strategies

The one hour lecture will be used to introduce core concepts. The lab practicals will be used to gain experience on a cloud platform. Students will from time to time work in groups of two or three to review concepts and present same to class. Flipped learning will be employed as required.

Heavy use of materials from a specific cloud provider (e.g. Google codelabs and qwiklabs) will be employed to ensure relevance of content and implement best practice when demonstrating concepts.

Module Assessment Strategies

One focused in-lab practical assessment (30%) will take place during week 6, with three MCQs (10 marks each) taking place in weeks 4, 8 and 10. A practical, group-based assessment with presentations will take place over the last three weeks of the semester, for which some lab time will be allocated. Where possible, aspects of this assignment will be shared with Web Programming 2.

Repeat Assessments

Students will undertake an individual repeat project which will cover all learning outcomes.

Indicative Syllabus

Describe the evolution, terminology, concepts and costs related to cloud computing

  • The essential characteristics of the cloud computing model (on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service etc.)
  • The components of a modern data centre and the data centre as a computer
  • Cloud computing providers. Costs of various services and comparison with non-cloud equivalents
  • Common cloud terms such as compute and app instances, cloud storage and data stores
  • The evolving nature of cloud and the services available from different providers

Configure and deploy appropriate cloud services, including a scalable web application

  • Manage accounts and budgets. Set up alerts for billing
  • Configuring and communicating with a cloud instance such as a virtual machine via GUI and command line
  • Reviewing technical documentation and altering code samples, using code labs and other resources
  • Employ APIs to communicate with cloud services via a web app or similar
  • Demonstrate IaaS, PaaS and SaaS specifically computing, hosting, storage, networking and big data
  • Configure and deploy appropriate services including a scalable web application which employs appropriate data storage and load balancing

Employ cloud APIs to manage workflow and demonstrate resource-intensive tasks such as speech recognition and language translation

  • Overview of core APIs available on a cloud platform
  • Altering cloud API examples to perform various tasks
  • Overview of workflow management including benefits
  • Write code to perform processor-intensive tasks such as image analysis and speech recognition via cloud APIs

Evaluate cloud storage options and configure and communicate with a NoSQL cloud database

  • Working with data and databases (e.g. big data, NoSQL)
  • Review data storage options for various use cases
  • The increasing use of semi-structured and unstructured data
  • Communicate with a native cloud NoSQL database
  • Configure for disaster recovery
  • Employing DaaS (e.g. mLab)

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
100 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Short practical assignment/MCQs Continuous Assessment Assignment 60 % OnGoing 1,3
2 Group project - Develop and deploy a web app employing appropriate cloud APIs Project Group Project 40 % Week 11 2,3,4
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Lecture Theatre Lecture 1 Weekly 1.00
Laboratory Practical Computer Laboratory Lab Practical Work 3 Weekly 3.00
Independent Learning Not Specified Self-directed Learning 3 Weekly 3.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

Required & Recommended Book List

Recommended Reading
2017-02-09 AWS Basics: Beginners Guide CreateSpace Independent Publishing Platform
ISBN 1542885752 ISBN-13 9781542885751
Recommended Reading
2017-08-31 Google Cloud Platform in Action Manning Publications
ISBN 1617293520 ISBN-13 9781617293528
Recommended Reading
2017-10-17 Microsoft Azure For Beginners: Getting Started with Microsoft Azure CreateSpace Independent Publishing Platform
ISBN 1978385641 ISBN-13 9781978385641

Module Resources

URL Resources

https://cloud.google.com/

https://codelabs.developers.google.com/

https://google.qwiklabs.com/catalog

https://azure.microsoft.com/en-us/

https://aws.amazon.com/

https://azure.microsoft.com/en-us/services/documentdb/

https://mlab.com/

Other Resources

Virtual machines

Additional Information

This module has been reviewed and approved by lecturers on the Google Cloud Platform Education Grants Recipient Platform.