Postgraduate Course: Data Science for Manufacturing (Bayes) (PGEE11234)

Course Outline
School	School of Engineering	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	The course introduces the principles of a 'Product Lifecycle' and assesses the implications of advanced enterprise-wide information systems for the organisation of product development and beyond. By drawing on original case study materials, video resources, and industrial guest speakers, the course explores the philosophies of Product Lifecycle Management and Product Data Management and examines the interactions between information technologies, organisation and product data.
Course description	The course will be developed to facilitate hybrid teaching and will compromise a series of 6 x 3 hour workshop sessions that will encourage student-centred learning. A combination of technical lectures, guest speakers from industry and practical manufacturing experience will be employed to allow students to make informed decisions regarding the selection and effective implementation of such manufacturing approaches. Workshop 1: Introduction: sources of information, databases Workshop 2: Querying manufacturing databases Workshop 3: PDM and PLM systems Workshop 4: The Digital Twin Workshop 5: Presenting Manufacturing information Workshop 6: Revision These workshops will be designed so that they can be taught online if necessary.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2022/23, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 2
Course Start Date	16/01/2023
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 6, Supervised Practical/Workshop/Studio Hours 13, Revision Session Hours 3, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	CW 100%
Feedback	Mid-term formative feedback exercise, in-person feedback during individual workshop exercises, feedback on formal individual assignments given within 15 days as well as class overview feedback.
No Exam Information

Learning Outcomes
On completion of this course, the student will be able to: Understand/implement computer models of common engineering information types; Understand the importance and be able to critically discuss the role of management information systems for design, engineering and manufacturing; Discuss and evaluate engineering data management issues across the extended enterprise; Demonstrate an appreciation of the complex relationship between information systems and organisation.