- Spring 2016 – 10 Day Version
- Lean Aerospace-Lean Manufacturing in the Aerospace Industry
- Knowledge based Engineering in Conceptual Design
- Residential Solar System Maintenance and Disposal Operations
- Artificial Intelligence Applications in Automotive Manufacturing Operations
- Fall 2016 – Full Semester
- Operations Management in Nuclear
- Approach to planning and Scheduling in Supply Chain Management
- Aerospace Manufacturing – Boeing 777
- Fast Manufacture of Consumer Goods (FMCG)
- Outsourcing Management
- Renewables (Hydro, Wind, Solar)
- Spring 2017 – 10 Day Version
- Toronto Transit Commission (TTC) maintenance operations and materials management2) Artificial Intelligence in Manufacturing
- Applications of ‘Machine Learning’ and general mathematical methods in Logistics management:
- Operational Strategies in Oil and Gas:
- Visual Information Control in Era of Big Data – Using Traffic System Method
- Fall 2017 – Full Semester
- Operations Strategy In The Food and Beverage Industry: Steam Whistle Brewing
- Best Practices of Management of Nuclear Waste
- Factory Automation and Robotics – State of the Art
- Operational Management of the Oil Sands
- Automated Machine Learning in various sectors
- Comparison of Financial Operations dealing with Loans in Canada
- Spring 2018 – 10 Day Version
- Air Force One – Managing transit operations for the President of the United States
- Blockchain in Supply Chain- when Two Chains Combine
- Crowd Sourcing and the Last Mile
- Managing Urban Infrastructure Construction Development
- Compare Logistics management between China V USA
- Fall 2018 – 100% Online
- Mass Customization in Various Industries
- Process Design Across Various Industries -Automation, Lean Operations, and Maintenance Management in Automotive Industry
- Operations in Hydroelectric Energy.
- CAD and CAM system affects production and manufacturing processes across various industries –
- Consumer Packaged Good(CPG) companies – the top 3 OM best practices
- Airport Operations Management
- Role of Project Management in OM (applying AI in Aerospace and Automotive)
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