Unit name | Applied Statistics |
---|---|
Unit code | EMAT30007 |
Credit points | 10 |
Level of study | H/6 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Bode |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
The unit is designed to provide students with practical experience in using statistical methodologies to solving real-world problems. The key word in the unit is “practical.” A focus on both real data and simulated realistic data will be a major component of the applied statistics unit. Each concept will be taught in a bottom-up way that will allow students to understand the vital role of the field of probability and statistics in academic and industrial engineering research.
Aims: To give students a thorough grounding in statistical methodologies and to enable students to use these techniques to answer questions about real world data from engineering / applied science.
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, supported by live online sessions, problem sheets and self-directed exercises.
1 Summative Assessment, 100% - Coursework. This will assess all ILOs.
W.Mendenhall & T. Sincich, "Statistics for Engineering and the Sciences", CRC Press, 2016.