
This course will teach the students on suitable concepts in statistics and probability; and its applications in engineering.
There is an increasing amount of data available to Chemical Engineers in the multitude of areas that they can apply themselves in. To take advantage of this, it is essential to equipped the Chemical Engineering graduate with data science tools. Data storage, analysis, and visualisation plays an increasingly important role in the discipline. Chemical engineers are dealing with more, and more-complex problems and solutions are available in the details obtained from data.
For example, a modern plant will be equipped with cheap instrumentation and widely accessible high-bandwidth and fast connectivity. The engineer working in this plant will have a high volume of data. These data need to be processed, analysed and visualised.
Another example would be in the area of research and discovery, a student or researcher conducting data-intensive experiments, such as high-resolution particle tracking, might generate more data in an afternoon than a student from a previous decade would have generated in the entire time spent earning their PhD. For those conducting mathematical modeling and computer simulations, advanced algorithms and hardware now give simulators unprecedented resolution at the cost of massive increases in the dataset.
The aim of this course is for the students to become proficient in evaluating complex data using hypothesis testing and apply statistical method through computation methods to solve chemical engineering problems.