Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Programming for Renewable Energy Systems | |||
| Reference | EN2200 | Version | 1 |
| Created | October 2023 | SCQF Level | SCQF 8 |
| Approved | February 2024 | SCQF Points | 15 |
| Amended | ECTS Points | 7.5 | |
| Aims of Module | |||
|---|---|---|---|
| To provide students with computing knowledge and skills for both computer programming and the application of specialist software for design and analysis of renewable energy systems. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Practice the core features of an industry-standard technical computer programming environment to a basic level of competence in solving problems related to renewable energy systems. |
| 2 | Show competence in applying some of the more advanced features of an industry-standard computer programming environment to assist in solving various problems in renewable energy systems. |
| 3 | Practice the core features of an industry-standard Geographic Information Systems (GIS) to a basic level of competence in solving problems related to renewable energy systems. |
| 4 | Show competence in applying some of the more advanced features of an industry-standard Geographic Information Systems (GIS) to assist in solving various problems in renewable energy systems. |
| Indicative Module Content |
|---|
| The student, individually or as part of a group, will be required to apply a programming environment and Geographic Information Systems to solve significant engineering problems in renewable energy systems. Typically, wind turbines, driveline components, solar panels, wave energy converters, electrical networks and structures have been used. The students will have an introduction to maps and spatial data, Coordinate systems and projections, GPS and other sources of spatial data, GIS, and MapInfo practical exercises. |
| Module Delivery |
|---|
| This is a studio/workshop-based module supplemented by lectures and tutorials. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 50 | 50 |
| Non-Contact Hours | 100 | 100 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 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 |
| Description: | Individual analysis and design project. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The module has 1 component and to pass a minimum D grade must be achieved. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | A |
| B | B |
| C | C |
| D | D |
| E | E |
| F | F |
| 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 | NAGAR, S., 2017. Introduction to MATLAB for engineers and scientists: solutions for numerical computation and modelling. Berkley, CA: Apress L.P. |
| 2 | HAHN, B.H., VALENTINE, D.T., 2017. Essential MATLAB for Engineers and Scientists. 6th ed. Saint Louis: Elsevier. |
| 3 | De Smith, M.J., Goodchild, M.F. and Longley, P., 2007. Geospatial analysis: a comprehensive guide to principles, techniques and software tools. Troubador publishing ltd. |
| 4 | Haywood, D. Ian., Cornelius, Sarah., Carver, Steve. An Introduction to Geographical Information Systems. Spain: Pearson Prentice Hall, 2006. |