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MOOC
The Rock Engineering Practice course was recorded by Professor Zhao Jian, an ISRM fellow, of Monash University in Melbourne, Australia, and contains 21 lectures divided in three parts.
Part 1. Site Investigation and Testing
Part 2. Rock Slope Engineering
Part 3. Rock Foundation Engineering
Part 4. Underground Rock Excavations
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Rock mechanics Engineering geology
- Resource Type:
- MOOC
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MOOC
The ISRM course on "Prevention methods for Landslides in Rock Masses" by Prof. Zhong-qi Quentin YUE, from the University of Hong Kong (see CV at the bottom of the page) is now available, in open access. The course has four parts, with a total of 24 lectures:
Part A - Understanding landslides in rock mass (four lectures)
Part B - Methods for quantifying rock mass (eight lectures)
Part C - Methods for landslide potential of rock mass (five lectures)
Part D - Measures for preventing landslides in rock mass (seven lectures)
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Rock mechanics Lslide hazard analysis Lslides -- Prevention Engineering geology
- Resource Type:
- MOOC
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MOOC
This course was recorded in 2021 by Dr Nick Barton, an ISRM Fellow and recipient of the 2011 Müller Award of the ISRM. In this course, it includes some examples of empirical methods in rock mechanics and rock engineering: for tunnelling, rock joints, rock masses, and rock slopes, cliffs and mountains (Q, QTBM, JRC, JCS, QSLOPE and other topics) The course has four parts, each opening in its own page.
Part 1 - The many faces of Q
Part 2 - Shear Strength of Rock, Rock Joints, etc.
Part 3 - Failure Modes in Rock Masses
Part 4 - TBM Performance and Prognosis
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Rock mechanics Engineering geology
- Resource Type:
- MOOC
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MOOC
This course was recorded in 2021 by Prof. Wulf Schubert, an ISRM Fellow and Vice President at Large for the ISRM from 1999 to 2003. The course has six parts, each opening in its own page.
Part 1 - Geotechnical Monitoring for Tunnels
Part 2 - Prediction on Displacements and Check of System Behavior with GeoFit
Part 3 - Use and Importance of Deflection or State Lines
Part 4 - Displacement Vectors in Cross and Longitudinal Section
Part 5 - Evaluation of Displacement Vector Orientations and Ratios of Displacement Components
Part 6 - Evaluation and Prediction of Lining Utilization from Displacement Measurements
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Engineering geology -- Data processing Tunneling
- Resource Type:
- MOOC
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MOOC
This course was coordinated in 2021 by Prof. Leandro Alejano, from University of Vigo, Spain and ISRM Vice President for Europe. The course has an introduction and four parts, each opening in its own page.
Rock mass characterization and monitoring is based on information gathered at different levels that contributes to a good understanding of the rock mass behavior. Geological, geostructural and geomechanical information is needed to set up a reliable model of the rock mass. The development of advanced survey techniques, such as digital photogrammetry, laser scanning and SAR interferometry has supplied powerful instruments in several fields including rock mechanics, where some efforts have been dedicated to improve the quality and the quantity of information available. In this short course taught by relevant European experts, the basics of these techniques are briefly reviewed and a number of interesting rock mechanics applications will be shown.
Part 0 - Course Presentation (Leandro Alejano)
Part 1 - A.M. Ferrero & M.R.Migliazza - Introduction of advanced survey methods for rock mass characterization and monitoring (A.M. Ferrero & M.R.Migliazza)
Part 2 - Methods for automatic or semi-automatic discontinuity traces sampling on digital rock mass (Gessica Umili)
Part 3 - Rock Mass Characterization and Monitoring based on Advanced Remote Sensing Techniques (Adrían Riquelme)
Part 4 - SAR Interferometry in Rock Mechanics (Roberto Tomas)
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Rock mechanics Engineering geology
- Resource Type:
- MOOC
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MOOC
Gain the key skills to master one of digital marketing's most sought after skills, and learn how to apply your SEO knowledge in an overall digital marketing strategy. In this course, you will learn about: (1) The fundamentals of SEO (2) How to reach your target market (3) How to optimise your social media strategy (4) Content development and copywriting
- Course related:
- ITC2013M Fashion Marketing
- Subjects:
- Marketing and Fashion retailing and merchandising
- Keywords:
- Internet marketing Marketing Web search engines
- Resource Type:
- MOOC
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MOOC
Learn Adobe Illustrator from scratch, including typography, infographics, logo design and more. In this course, you will learn about (1) How to use layers (2) When and why to use a specific tool (3) Best practices when designing infographics (4) Creative techniques to fully develop your understanding of the Adobe Illustrator tools and their possibilities
- Course related:
- ITC3076E Fashion Shoe Design and ITC3081D Advanced Apparel Techniques and Practice
- Subjects:
- Technology
- Keywords:
- Adobe Illustrator (Computer file) Computer drawing -- Computer programs Computer graphics -- Software
- Resource Type:
- MOOC
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MOOC
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.
- Course related:
- APSS1A07 Introduction to Psychology and APSS111 Introduction to Psychology
- Subjects:
- Psychology
- Keywords:
- Psychology
- Resource Type:
- MOOC
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MOOC
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- MOOC
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MOOC
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- MOOC