Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Engineering Data Management | |||
| Reference | CB3043 | Version | 2 |
| Created | January 2020 | SCQF Level | SCQF 9 |
| Approved | October 2019 | SCQF Points | 15 |
| Amended | June 2020 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To provide learners with a conceptual overview of the value and components of engineering data management in a process industry setting, enabling them to approach their current and future practice in the context of business value, impacts and outcomes. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Communicate the broad engineering disciplines and physical components utilised in upstream oil and gas |
| 2 | Tell the story of the development of process plant engineering data and information management from the mid 20th Century to the advent of industry 4.0 |
| 3 | Deconstruct and judge the impact of data and information management along the projects and operations supply chain |
| 4 | Synthesise a tag-centric engineering data and information service concept |
| 5 | Reflect critically on the business value of engineering data management |
| Indicative Module Content |
|---|
| Functional data, Physical data, Reference data, Asset data, Master data management, ISO15926, CFIHOS, Sensor data, Working with engineers, Capital projects – overview, Operations, maintenance modification – overview, Brownfield data challenges, Life Cycle Information, Document Control, Decommissioning data management, Supply chain data and documents, Decommissioning data management |
| Module Delivery |
|---|
| Online learning. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | N/A | 24 |
| Non-Contact Hours | N/A | 126 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | N/A | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5 |
| Description: | Individual Portfolio Assessment | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of C1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in C1. |
| B | The student needs to achieve a B in C1. |
| C | The student needs to achieve a C in C1. |
| D | The student needs to achieve a D in C1. |
| E | The student needs to achieve an E in C1. |
| F | The student needs to achieve an F in C1. |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | KLETZ, T. and AMOYETTE, P., 2019. What went wrong? Case histories of process plant disasters and how they could have been avoided. 6th ed. Oxford: Butterworth-Heinemann. |
| 2 | PEARSON, S. 1996. Economical management of engineering information. ISA Transactions. 35, pp.3-8. |
| 3 | TAYLOR, J.R. 2007. Understanding and combating design error in process plant design. Safety Science. 45 (1-2), pp.75-105. |
| 4 | MORAN, S., 2019. An applied guide to process and plant design. 2nd ed. Amsterdam: Elsevier. |