Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
6105STATS-SEP-CTY
Aims
This module aims to give students an experience of campus-based work related learning focusing on the role of a statistician in industry and how statistical methods are applied in both manufacturing and business.
Module Content
Outline Syllabus:It is anticipated that there will be a minimum of two case studies per delivery of the module, but this may vary as case studies are developed. Generally, each project/case study will have the format:
Role of the Statistician in industry; problem definition (including data requirements, knowledge requirements, etc.); importance of the problem within the company; possible solution strategies (vague outline for discussion); report/presentation requirements.
Examples of such projects/case studies include:
Financial Statistics e.g. Actuarial problems.
Risk Analysis.
Medical Statistics in the Drugs industry.
Statistical process control in manufacturing.
Forensic statistics.
Recommender Systems.
Module Overview:
This module aims to give you an experience of campus-based work related learning focusing on the role of a statistician in industry and how statistical methods are applied in both manufacturing and business.
This module aims to give you an experience of campus-based work related learning focusing on the role of a statistician in industry and how statistical methods are applied in both manufacturing and business.
Additional Information:Real projects derived from the work setting will be used as case studies to enable students to use their statistical knowledge and skills to solve real-world problems. Actual work-place data and constraints will be used to simulate work problems. Indicative references will depend specifically on the case studies being developed.
Assessments
Portfolio