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COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course focuses on the use of market based instruments (MBIs) for environmental management and sustainable development. It compares the regulatory approaches of environmental management to those employing MBIs at different special scales and examines the types of policy instruments that can be utilized for environmental management (e.g. EU Emissions Trading Scheme, Environmental Tax Reform etc.). It examines the institutional and agency frameworks necessary for the successful implementation of MBIs.
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COURSE DETAIL
This course introduces the foundational and applied concepts of probability and statistical modelling for data science in engineering. Strong emphasis is placed on using the material covered to solve engineering problems, with a focus on the R statistical computing software. The main sections of the course are descriptive statistics; laws of probability; random variables; statistical inference; simple linear regression; and statistical methods for quality control. In addition, students are required to complete a sequence of computer laboratory sessions using the R software package. Students learn to perform exploratory data analyses using graphical and numerical descriptive statistics, calculate probabilities and simulate from common probability distributions, calculate confidence intervals and perform hypothesis tests, and fit linear regression models.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
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