IE 4250: Engineering Data Analysis

Engineering Data Analysis is designed as an applied statistics course for students in engineering. Engineers play significant roles in designing, developing, maintaining, and improving new products and manufacturing processes. Statistical methods are the key tools that enable engineers with descriptive as well as analytical methods to deal with the viability of measurements in stochastic environments in order to perform the mentioned tasks. This class which is built upon the introductory statistical gained in BE 1200, aims to teach students how to apply advanced concepts for the analysis of variability in engineering.

IE 5995 (Special Topics): Immersive Modeling and Digital Twinning

This course presents an introduction to virtual and augmented reality (VR and AR) technologies, with an emphasis on designing and developing interactive virtual and augmented reality experiences. The course will cover the history, fundamental theory, interaction techniques, and specific application areas. Concepts from the contributing fields of computer graphics and human computer interaction will be introduced in the context of virtual and augmented reality. There is a strong emphasis on the use of this technology as a platform for real-world applications. The goal is to learn enough about the strengths and limitations of VR/AR technology to construct simple immersive environments as well as to understand the human factors and cognitive issues that should be considered when using this medium. Concepts such as visual displays for VR, AR and MR, motion tracking, interactive 3D graphics, multimodal sensory integration, immersive audio, user interfaces, IoT, games and experience design will be discussed. Beyond immersive technology, the course covers Digital Twins, as a response to the increasing digitalization of product development, production, and products themselves.

IE 6510: Information Systems in Manufacturing Enterprise

Information systems are used to make organizations leaner and more integrated across the entire Enterprise. A suite of information systems can provide a single unified concurrent engineering process, an integral knowledge management process, and rapid response to market changes. This course will teach Information Technologies and data management

DSA/DSB/DSE 7500: Practicum

Apply theoretical knowledge acquired throughout the Big Data and Business Analytics MS program to a challenging project involving real-world business problems/opportunities and data analytics in a reliable, scalable, distributed computing environment.

IE 8950: Data Science and Statistics

This course explores the must-knows of Data Science and Statistics.