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Overview
Outcomes
On completion of this Computer Vision for the Energy Sector module at Robert Gordon University, students are expected to be able to:
- Critically appraise the challenges posed by the management and processing of complex image and/or video-based datasets.
- Demonstrate an understanding of the main concepts of computer vision and how machines "see".
- Critically evaluate and select state-of-the-art methods to extract features from the input data and detect, localise, recognise or classify the information or phenomena depicted.
- Discuss solutions to diverse case studies from real-life applications in the Oil & Gas and renewable sectors.
Programme Structure
The indicative content covered in this course includes:- Main concepts of computer vision
- Data in the energy sector
- Data acquisition and storage
- Data pre-processing and cleaning
- Machine learning principles
- Image manipulation
- Basic and advanced models for image classification, detection, recognition and segmentation
- Real-life use cases
- Tools and libraries (e.g. Python, OpenCV, Scikit Learn, cloud services, etc.)
- Sharing code and working remotely & effectively (online notebooks and repositories e.g. GitHub, Kaggle, Colab, etc.)
Key information
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
On Campus
Campus Location
- Aberdeen, United Kingdom
Disciplines
Energy Engineering Artificial Intelligence View 7 other Short Courses in Energy Engineering in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Tuition Fees
Living costs
Aberdeen
United Kingdom
729 - 1069 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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