Quanser Workshop

Venue: ITC Grand Chola
Date: 15-11-2019
Time: 2 pm to 5 pm
Free

Workshop for Senior Academics - Deans, Chairs, HODs, Program Directors and Senior faculties

Innovative labs to prepare students to succeed in the era of complex systems and AI

A hands-on Engineering Education Vision by Quanser, WEEF 2019 Chennai, India
The life of a faculty member or senior administrator can be busy and often overwhelming. When was the last time that you was able to spend a bit of time to be creative, learn amazing new technology, and puts some meaningful thought to how best to effect the necessary transformations at your institutions to prepare your students for the challenges of our world?

This unique half day workshop will provide faculty with direct hands-on experience with innovative technology and project-based learning methods to help institution introduce greater design sophistication and modern complex system applications in academically appropriate ways. We especially encourage senior administrators, including Deans, Chairs, and program Directors to participate and learn about what is possible.

Participants will learn the key techniques and essential concepts of modern system design and the efficient pedagogies to merge them into courses and programs. The activities will apply generalized concepts as opposed to proprietary platforms to illustrate how institutions can introduce the highest priority topics, even the most sophisticated techniques in AI and machine learning, in practical and timely ways.

The ground-breaking technology and techniques were developed by the engineering education innovation company Quanser in collaboration with leading global universities. Participants of the workshop will gain first-hand experience with:

Part 1: Essential Design Workflows for Complex Modern Challenges
Session learning objective: Learn how to introduce a robust modern system design methodology to undergraduate courses. Learn how to harmonize traditional theoretical concepts with contemporary makerspace techniques in a way that readily prepares students for the emerging world of IoT and complex intelligent applications.




Part 2: Demystifying AI and Machine Learning for Engineering Education
Session learning objective: Learn how to create appropriate abstractions of complex applications such as multi-vehicle autonomous and cyberphysical applications that are adapted and tuned for undergraduate programs. Develop a functional literacy in the methods and technologies of AI and machine learning in a way that is relevant to engineering as it is embodied in current university programs. Design and deploy specific elements of an intelligent application system then, as a single group, integrate the parts into a single application of authentic complexity.

This workshop is sponsored by Quanser, Canada, and EduTech, India and is intended for faculty and senior administrations. Any questions should be directed to
Mr. Thuvishan R. of Quanser, Thuvishan.Rajagulasingam@Quanser.com


Workshop leader: Dr. Thomas Lee FCAE
Chief Education Officer Quanser,
Fellow Canadian Academy of Engineering

Dr. Thomas Lee, FCAE is Chief Education Officer at Quanser, a leading company known for advanced technologies modern engineering education, with a notable specialization in advanced robotics, mechatronics, and control. Dr. Lee's professional career spans thirty years with significant contributions to the global discussions on topics such as mathematics, modelling and simulation, mechatronics, robotics, IoT, and design as they relate to education. Dr. Lee earned his Ph.D. in Mechanical Engineering from the University of Waterloo, Canada. He holds a BASc and MASc in Systems Design Engineering from the University of Waterloo. He currently holds Adjunct appointments at the University of Waterloo, University of New Mexico, and York University. In 2019 Dr. Lee was elected Fellow of the Canadian Academy of Engineering.

This unique half day workshop is designed for senior administrators and faculty and offers direct hands-on experience with innovative technology and project-based learning methods to help institution introduce greater design sophistication and modern complex system applications in academically appropriate ways. Participants will learn the key techniques and essential concepts of modern system design and the efficient pedagogies to merge them into courses and programs. The activities will apply generalized concepts as opposed to proprietary platforms to illustrate how institutions can introduce the highest priority topics, even the most sophisticated techniques in AI and machine learning, in practical and timely ways. The ground-breaking technology and techniques were developed by the engineering education innovation company Quanser in collaboration with leading global universities. Participants of the workshop will gain first-hand experience with,

  • Part 1: Essential design workflows of complex modern engineering challenges
  • Part 2: Demystifying AI and Machine Learning for Engineering Education
The concepts and techniques were developed by the engineering education technology company Quanser in collaboration with leading universities throughout the world. Limited hands-on stations are available and the session leaders will do their best to provide all participants with an engaging workshop experience.


Paul Gilbert
Chief Executive Officer, Quanser

Paul Gilbert has been the CEO of Quanser since 2002. He oversees the strategic development of modern engineering education and research solutions for the global academic community. Paul regularly travels the world delivering keynote presentations and meeting with senior engineering educators. Paul holds an MBA from the Richard Ivey School of Business, as well as a Bachelor of Mechanical Engineering from the University of Southampton, U.K.