Excel Crash Course for Engineers

lt;p> Dr. Eklas Hossai is an Associate Professor in the Department of Electrical Engineering and Renewable Energy and an Associate Researcher with the Oregon Renewable Energy Center (OREC) at Oregon Institute of Technology. He has been working in the area of distributed power systems and renewable energy integration for the last ten years and has published a number of research papers and posters in this field. He is currently involved with several research projects on renewable energy and grid-tiered microgrid systems at Oregon Tech. He received his PhD from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM), his MS in Mechatronics and Robotics Engineering from International Islamic University of Malaysia, and a BS in Electrical & Electronic Engineering from Khulna University of Engineering and Technology. Dr. Hossai is a registered Professional Engineer (PE) in the state of Oregon, a Certified Energy Manager (CEM) and Renewable Energy Professional (REP), a senior member of the Association of Energy Engineers (AEE), and an Associate Editor for IEEE Access, IEEE Systems Journal, and IET Renewable Power Generation. His research interests include modeling, analysis, design, and control of power electronic devices; energy storage systems; renewable energy sources; integration of distributed generation systems; microgrid and smart grid applications; robotics, and advanced control system. He is the winner of the Rising Faculty Scholar Award in 2019 and the Faculty Achievement Award in 2020 from Oregon Tech for his outstanding contribution to the academia. Dr. Hossain, with his dedicated research team, is looking forward to exploring methods to make the electric power systems more sustainable, cost-effective and secure through extensive research and analysis on energy storage, microgrid system and renewable energy sources.

Introduction to Microsoft Excel.- Graphing and Charting.- Functions and Formulae.-  Visual Basic for Applications (VBA).- Engineering Data and Analysis.