Students apply the vocabulary and concepts from the Activity 9: Feedback Loop …
Students apply the vocabulary and concepts from the Activity 9: Feedback Loop Introduction to assess and create earth science feedback loops with the LOOPY online modeling program. (Optional) The students then engage in a discussion of the limitations of the LOOPY program to create feedback loop diagrams.
Students are introduced to feedback loop vocabulary and experiment with different relationships …
Students are introduced to feedback loop vocabulary and experiment with different relationships between reservoirs in simple feedback loops using LOOPY, a free, online modeling program.
The course will discuss the objectives and functions of water management systems …
The course will discuss the objectives and functions of water management systems for irrigation and drainage purposes. Analysing system requirements in terms of technical engineering constraints, management possibilities and water users (wishes and options) is central. This includes the design and operation of regulation structures, dams, reservoirs, weirs and conveyance systems; balancing water supply and water requirements in time and space is a main focus of analysis too.
Modelling is about understanding the nature: our world, ourselves and our work. …
Modelling is about understanding the nature: our world, ourselves and our work. Everything that we observe has a cause (typically several) and has the effect thereof. The heart of modelling lies in identifying, understanding and quantifying these cause-and-effect relationships.
A model can be treated as a (selective) representation of a system. We create the model by defining a mapping from the system space to the model space, thus we can map system state and behaviour to model state and behaviour. By defining the inverse mapping, we may map results from the study of the model back to the system. In this course, using an overarching modelling paradigm, students will become familiar with several instances of modelling, e.g., mechanics, thermal dynamics, fluid mechanics, etc.
This unit is the first in the MSXR209 series of five units …
This unit is the first in the MSXR209 series of five units that introduce the idea of modelling with mathematics. This unit centres on a mathematical model of how pollution levels in the Great Lakes of North America vary over a period of time. It demonstrates that, by keeping the model as simple as possible extremely complex systems can be understood and predicted.
In this class, students use data and systems knowledge to build models …
In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.
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