QUANTITATIVE REASONING TO DEVELOP INSIGHTS
In this age of ubiquitous data, how do we make sense of all this readily accessible but often overwhelming quantitative information that we encounter every day? To systematically extract insights from data? To “reason” with data? We can think of quantitative reasoning as applying a certain set of logic that allows us to work with data. The insights developed through such an application can help us to answer questions that we are invested in, to support or invalidate preconceived hypotheses, and provide evidence to advance our arguments. Through this journey of reasoning quantitatively, we will illuminate how we can both be critical consumers, as well as actively engage with, this precious resource that is data.
|Welcome message from Dean of NUS SCALE
||Tutorials conducted over Zoom
There is no pre-requisite for this course.
WHO SHOULD ATTEND
University students interested to explore quantitative reasoning using data.
MODE OF DELIVERY
18 hours of online programme, including synchronous lessons, tutorials and a final project presentation.
MODE OF ASSESSMENT
- Group project and presentation
Dr Edmund Low, Senior Lecturer, University Scholars Programme
Dr Edmund Low is a senior lecturer with the University Scholars Programme (USP) at the National University of Singapore. He has more than 14 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include the use of programming and visual libraries to develop simulation models for automating workflow processes, and the setting up of remote environmental sensing systems to automate real-time continuous monitoring, for early incident warning. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.
CERTIFICATE OF COMPLETION
Successful participants who complete all requirements of the programme including passing the assessment will receive a certificate of completion issued by NUS SCALE.
A sample of the certificate of participation can be found here:
Participants from the project team with the highest score for the group project will also receive a commendation letter. A sample is shown below:
27 Jan - 8 Feb 2021
in collaboration with Looker Education Group