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Unit information: Applied Statistics in 2022/23

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

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
Units you must take before you take this one (pre-requisite units)

None

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one
School/department School of Engineering Mathematics and Technology
Faculty Faculty of Engineering

Unit Information

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.

Your learning on this unit

  1. Use discrete and continuous probability distributions, sampling distributions, simple and multivariate linear regression. Understand classical statistical inference and have an appreciation of model comparison.
  2. In addition to covering more advanced topics related to traditional multiple regression/correlation, the students will understand logistic regression, experimental design, reliability data analysis and bootstrap techniques.
  3. Experience of applying statistical techniques to data.
  4. Select statistical methodologies for new and unfamiliar problems and justify their use.
  5. Practise interpreting the results obtained from using of statistical methodologies.

How you will learn

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.

How you will be assessed

1 Summative Assessment, 100% - Coursework. This will assess all ILOs.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMAT30007).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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