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Courseware
Basic principles: Hydrostatics, constant flow phenomena and waves The treated theory includes: - Archimedes’ Law, hydrostatic pressure - Stability computations for floating structures – including the effect of shifting loads, and partially filled fluid tanks - Potential flow basics, 2D potential flow elements, superposition principle - Real (viscous) flows, scaling laws, flow regimes - Fluid forces on structures, drag and lift, resistance and propulsion, wind and current loads - Linear wave theory in regular and irregular waves and wave statistics
- Subjects:
- Hydraulic Engineering
- Keywords:
- Offshore structures -- Hydrodynamics Hydrodynamics Hydrostatics Fluid mechanics Waves
- Resource Type:
- Courseware
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MOOC
The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Python (Computer program language) City planning -- Statistical methods Information visualization
- Resource Type:
- MOOC
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MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
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MOOC
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Life sciences -- Statistical methods Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- MOOC
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Video
The free resources help you learn SAS quickly without a significant financial or time commitment. In Advanced Analytics module, you will explore the use of SAS in basic statistics, econometrics, forecasting, machine learning, optimization, and more.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing SAS (Computer file)
- Resource Type:
- Video
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Video
Learn how to use R software for performing statistical tests.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- Video
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Others
BIS statistics, compiled in cooperation with central banks and other national authorities, are designed to inform analysis of financial stability, international monetary spillovers and global liquidity.
- Subjects:
- Finance
- Keywords:
- International finance -- Statistics Banks banking International -- Statistical methods
- Resource Type:
- Others
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Video
Are you ready to learn hints, tips, and tricks to IBM SPSS Statistics that are not in typical SPSS training videos? Building on years of practical experience as a statistician doing academic research, Dr. Todd Daniel takes you deeper into SPSS skill building. Even if you are an experienced SPSS user, you will learn new ideas that will help you as a user. For beginning and intermediate students, you will leap ahead by learning techniques that benefit practical users. You will learn to customize SPSS, import data while cleaning it, best practices for categorical and scale data, the power of the Chart Builder, using syntax, and how to organize your output so you can use it better. This series began with SPSS for Beginners; now you can begin Diving Deeper into SPSS.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing Statistics SPSS (Computer file)
- Resource Type:
- Video
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Video
This series assumes that you are brand new to SPSS. You will create a data set that you will use for all the following videos. When you finish all 8 videos, you will be comfortable in SPSS and ready to apply your skills in your statistics course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- SPSS (Computer file) Statistics -- Data processing Statistics
- Resource Type:
- Video
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Video
Almost everyone agrees that flooding is bad. Most years it’s the number one natural disaster in the US by dollars of damage. So being able to characterize flood risks is a crucial job of civil engineers. Engineering hydrology has equal parts statistics and understanding how society treats risks. Water is incredibly important to us, and it shapes almost every facet of our lives, but it’s almost never in the right place at the right time. Sometimes there’s not enough, like in a drought or just an arid region, but we also need to be prepared for the times when there’s too much water, a flood. Rainfall and streamflow have tremendous variability and it’s the engineer’s job to characterize that so that we can make rational and intelligent decisions about how we develop the world around us.
- Subjects:
- Hydraulic Engineering and Disaster Control and Management
- Keywords:
- Floods Hydrology Flood control -- Management
- Resource Type:
- Video