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Certificate in Intelligent Manufacturing Systems

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Awards
Certificate
Programme Code: CR_EINMS_9
 
Mode of Delivery:Full Time, Part Time, Distance Learning
 
No. of Semesters:2
NFQ Level:9
Embedded Award:No
 
Programme Credits:30
programmeReviewDate:May 2022
Department:MECHANICAL, BIOMEDICAL & MANUFACTURING ENGINEERING
Field of Study:Manufacturing Engineering
 

Programme Outcomes

Upon successful completion of this programme the graduate will be able to demonstrate... :

PO1 Knowledge - Breadth
  (a) A wide and systematic understanding of knowledge in the fields of new and emerging technologies and advanced analytics informed by and for the smart factory of the future.
PO3 Skill - Range
  (a) Mastery of a range of state of the art tools and advanced analytics for intelligent manufacturing; the ability to apply reinforcement learning to robotics and autonomous systems and develop new solutions to problems for the factory of the future.
PO4 Skill - Selectivity
  (a) The ability to select appropriate advanced skills and use new methods required for novel situations and the ability to develop, to a high level, new skills in emerging techniques as required in intelligent manufacturing; the ability to undertake analysis and justify decisions informed by advanced analytics.
PO5 Competence - Context
  (a) Act in a wide and often unpredictable variety of professional levels and ill-defined contexts.
PO6 Competence - Role
  (a) The technical competence necessary to take significant responsibility for the work of individuals and groups, lead and initiate activity in Intelligent Manufacturing.
PO7 Competence - Learning to Learn
  (a) The ability to evaluate their own learning, identify knowledge gaps, and take responsibility for the pursuit of academic professional development pathways.
PO8 Competence - Insight
  (a) An awareness of the impacts of smart manufacturing on society and the ability to critically evaluate the technical, economic, environmental and social implications of the factory of the future.
 

Semester Schedules

Stage 1 / Semester 1

Mandatory
Module Code Module Title
STAT9007 Industrial Data Analysis
COMP9073 Automation with Python

Stage 1 / Semester 2

Mandatory
Module Code Module Title
MECH9007 Machine Prognostics
COMP9069 Robotics & Autonomous Systems

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie