Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Cloud Computing | |||
| Reference | CM4707 | Version | 1 |
| Created | February 2019 | SCQF Level | SCQF 10 |
| Approved | May 2019 | SCQF Points | 30 |
| Amended | ECTS Points | 15 | |
| Aims of Module | |||
|---|---|---|---|
| To enable students to critically evaluate the key concepts and issues of cloud computing which will enable them to develop the practical skills required to construct cloud-based applications. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Critically analyse the key concepts and techniques in cloud computing. |
| 2 | Critically appraise different cloud computing models. |
| 3 | Critically analyse the recent trends and developments in cloud computing technologies. |
| 4 | Evaluate design choices when solving real-world cloud computing problems by analysing and contrasting different cloud computing solutions. |
| 5 | Integrate software components to architect and develop cloud-based applications for an enterprise. |
| Indicative Module Content |
|---|
| Definitions of Cloud Computing, benefits and limitations of Cloud Computing, migrating into the cloud, cloud delivery models (IaaS, PaaS, SaaS), cloud deployment models (private, public, hybrid), service-oriented architecture, RESTful web services design, auto-scaling, security in the cloud, costing, examples of service providers and APIs. |
| Module Delivery |
|---|
| The module is delivered in Blended Learning mode using structured online learning materials/activities and directed study, facilitated by regular online tutor support. Workplace Mentor support and work-based learning activities will allow students to contextualise this learning to their own workplace. Face-to-face engagement occurs through annual induction sessions, employer work-site visits, and modular on-campus workshops. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 30 | N/A |
| Non-Contact Hours | 30 | N/A |
| Placement/Work-Based Learning Experience [Notional] Hours | 240 | N/A |
| TOTAL | 300 | N/A |
| Actual Placement hours for professional, statutory or regulatory body | 240 |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 50% | Outcomes Assessed: | 2, 5 |
| Description: | This coursework will consist of a cloud computing development exercise. | ||||
| Component 2 | |||||
| Type: | Practical Exam | Weighting: | 50% | Outcomes Assessed: | 1, 3, 4 |
| Description: | This practical exam will consist of a presentation on aspects of cloud computing within business systems. | ||||
| MODULE PERFORMANCE DESCRIPTOR | ||||||||
|---|---|---|---|---|---|---|---|---|
| Explanatory Text | ||||||||
| The calculation of the overall grade for this module is based on 50% weighting of C1 and 50% weighting of C2. An overall minimum grade of D is required to pass the module. | ||||||||
| Practical Exam: | ||||||||
| Coursework: | A | B | C | D | E | F | NS | |
| A | A | A | B | B | C | E | ||
| B | A | B | B | C | C | E | ||
| C | B | B | C | C | D | E | ||
| D | B | C | C | D | D | E | ||
| E | C | C | D | D | E | E | ||
| F | E | E | E | E | E | F | ||
| NS | Non-submission of work by published deadline or non-attendance for examination | |||||||
| Module Requirements | |
|---|---|
| Prerequisites for Module | None, in addition to course entry requirements. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | ERL, T., MAHMOOD, Z. and PUTTINI, R., 2013. Cloud Computing: Concepts, Technology & Architecture. Prentice Hall. |
| 2 | MARINESCU, D.C., 2013. Cloud Computing: Theory & Practice. Elsevier. |
| 3 | HILLAR, G.C., 2016. Building RESTful Python Web Services. Packt Publishing. |
| 4 | WITTIG, A., and WITTIG, M., 2016. Amazon Web Service in Action. Manning Publication. |
| 5 | Diaz, F., Freato, R., 2018. Cloud Data Design, Orchestration, and Management Using Microsoft Azure. Berkeley: Apress. |