THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

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

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe 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:
  1. Understand/implement computer models of common engineering information types;
  2. Understand the importance and be able to critically discuss the role of management information systems for design, engineering and manufacturing;
  3. Discuss and evaluate engineering data management issues across the extended enterprise;
  4. Demonstrate an appreciation of the complex relationship between information systems and organisation.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsProduct Lifecycle Mgt,PDM,PLM,Product Data Mgt
Contacts
Course organiserProf Jonathan Corney
Tel: (0131 6)51 7279
Email:
Course secretaryMr James Foster
Tel: (0131 6)51 3562
Email:
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