Industry 4.0 is redefining the future of Engineering Design, Development and Manufacturing. Several of the conventional methods are getting obsolete. The newer ones are Smarter systems which adapt themselves to the environment they are in. They can diagnose themselves and also alert the users about their future behavior and health. With the advent of Machine Learning and Artificial Intelligence, most machines are getting smarter than ever before.
In this workshop, the focus is on the impact of Industry 4.0 on Engineering Education. Cross functional requirements of learning are much more critical and System Engineering is absolutely necessary. Data science is the new Software development is no longer just logic. Engineering Mathematics is taking a center stage which it truly deserves. Hence, the workshop will cover the following topics:
This workshop introduces topics related to Big Data applications in Industry 4.0. After a clarification of the Industry 4.0 term and basic concepts of Data Science in the industrial field, the workshop will focus on several modules that will be demonstrated in the context of the course. The workshop furthermore gives an overview about the chances and challenges connected to enabling Industrial Big Data in modern manufacturing environments. After introducing the concept of Industry 4.0 and the importance of a high availability of production information, the focus will pass over to the challenges that have to be targeted when dealing with high amounts of fast changing and diverse information in the field of production using data-driven methods.
It has long been known that online laboratories (remote and virtual) can supplement or replace physical ones in higher education. In many cases this depends on the lab activities’ learning objectives. However, the suitability of lab types and learning objectives is much less known and, hence, still a topic of ongoing research. To dig deeper into that, we must know which learning objectives teachers define in accordance to different learning groups and fields.
In this workshop, we want to collect teachers’ learning objectives, categorize them in a mutual discussion, detect the relationships of learning objectives and lab types, and gain insights into our own explicit and implicit objectives that are affecting our experimental instructions and evaluations of learning outcomes.
This workshop will introduce LabsLand, a global network of laboratories hosted by multiple institutions and focused on reliability and real-world usage. We will describe two different modern approaches for developing easy-to-integrate remote labs effectively. Some of the remote lab creators from a few partner institutions will show their specific laboratories, and workshop participants will be able to use them and discuss their experience. Some of the laboratories that we will cover will involve FPGA devices, electronics in general, physics (kinematics, pendular movement) or microcontrollers (such as Arduino).
|07 Oct 2019
|Submission of structured abstracts for full and short papers;
Submission of proposals for special sessions
|15 Oct 2019
|Invitation to submit a full paper or short paper
|22 Nov 2019
|Submission deadline for complete full and short papers as well as Work in Progress, Demos, Poster, Tutorials, Workshops)
|22 Nov 2019
|Submission deadline for Special Sessions papers
|27 Nov 2019
|Submissions for GOLC OnlineLabAward 2020
|01 Dec 2019
|Notification of Acceptance
|15 Dec 2019
Late Paper submission
|03 Jan 2020
|26 Feb 2020