Free ticketed event
It is important that engineering and science students be introduced to the idea of modeling, which lies at the heart of engineering problem solving, and the use of simulation tools. Simulations not only help students understand complex phenomena, but also play important roles in research and industry, where they are used to gain insight into the behavior of systems and to shorten the development cycle for new products. The advent of increasingly sophisticated computational methods, along with the availability of high-power computing resources, have enabled simulations that can realistically describe the behavior of many materials, processes, and devices.
By using simulations in the classroom, students not only gain some fluency in the use of specific simulation tools, but they are able to interact with abstract concepts in more concrete ways through the visualization capabilities that simulations provide. Simulations that are fully interactive provide students with the opportunity to design their own virtual experiments by asking questions, varying inputs, and examining what effect their changes have on the simulation results. This interactive engagement with simulations can enrich the student learning experience as students learn about both fundamental physical concepts and the limits of different computational methods.
Instructors who have used nanoHUB simulation tools and other resources in their classes have reported the following student learning outcomes and feedback:
* Simulations allowed students to visualize complex abstract concepts.
* Simulation tools helped create a more solid connection with the textbook, and students were able to dynamically recreate textbook figures and reaffirm concepts.
* Use of nanoHUB resources in the flipped-class mode resulted in students asking deeper questions and performing at a higher level on exams.
The workshop facilitators will describe how cloud-based visualization and simulation tools have been used to enhance student learning by presenting case studies. The following examples will introduce workshop participants to simulation tools and associated course outlines, lectures, demonstrations, assignments, and other supporting material that is available at nanoHUB.org:
* nanoHUB-U in a Flipped Class: Effect on Depth of Learning
* Lectures and Simulation Laboratories to Improve Students’ Conceptual Understanding of Materials Science and Engineering
* Connecting Engineering and Freshman Chemistry on the nanoHUB
* Simulation as a Means of Understanding the Operation of Semiconductor Devices
The workshop facilitators draw on experience using nanoHUB materials in the following courses, which together impact approximately 3,000 students per year:
* First-year engineering at Purdue University
* Introductory materials science and engineering at Purdue University
* General chemistry at Northwestern University
* Semiconductor device courses at the University of Illinois at Urbana-Champaign and Arizona State University
* Properties of electrical materials at Arizona State University
* Quantum mechanics for engineers at Arizona State University
In a breakout session, participants will then be guided through the process of selecting simulations and complementary educational resources for their own courses from the more than 320 simulation tools and 4,000 resources that are available on nanoHUB.
This workshop is limited to 24 participants. Participants are requested to bring a wireless-enabled laptop computer to run the simulations, as well as outlines for courses where they would like to incorporate simulations and other nanoHUB resources. Any questions about the workshop can be directed to Tanya Faltens: email@example.com.
Tanya Faltens is the educational content creation manager for the Network for Computational Nanotechnology (NCN), which created the open access nanoHUB.org cyber-platform. Her technical background is in materials science and engineering (Ph.D. UCLA 2002), and she has several years’ experience in hands-on informal science education, including working at the Lawrence Hall of Science at the University of California - Berkeley. While at Cal Poly Pomona, she taught the first year engineering course, mentored student capstone research projects, and introduced nanoHUB simulation tools into the undergraduate curriculum in materials science and engineering and electrical engineering courses. Much of her work has focused on introducing STEM concepts to broad audiences and encouraging students, including women and others in traditionally under-represented groups, to consider graduate school. Three of her former udergraduate research students are currently in Ph.D. programs and a few more are in the pipeline.
Timothy S. Fisher (Ph.D. in mechanical engineering, 1998, Cornell) joined Purdue University’s School of Mechanical Engineering and Birck Nanotechnology Center in 2002 after several years at Vanderbilt University. He is also an adjunct professor in the International Center for Materials Science at the Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore. From 2009 to 2011, he served as a research scientist at the Air Force Research Laboratory’s newly formed Thermal Sciences and Materials Branch of the Materials and Manufacturing Directorate. Prior to his graduate studies, he was employed from 1991 to 1993 as a design engineer in Motorola’s Automotive and Industrial Electronics Group. His research has included studies of nanoscale heat transfer, carbon nanomaterial synthesis, coupled electro-thermal effects in semiconductor and electron emission devices, energy conversion and storage materials and devices, microfluidic devices, biosensing, and related computational methods ranging from atomistic to continuum scales. For more information, visit his group’s homepage. http://www.nanotransportgroup.com/
Krishna Madhavan is an assistant professor in the School of Engineering Education at Purdue University. He is also the education director and co-PI of the NSF-funded Network for Computational Nanotechnology (nanoHUB.org). He specializes in the development and deployment of large-scale data and visualization-based platforms for enabling personalized learning. His work also focuses on understanding the impact and diffusion of learning innovations. Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006 and was the curriculum director for the Supercomputing Education Program 2005. In January 2008, he received an NSF CAREER award for work on transforming engineering education through learner-centric, adaptive cyber-tools and cyber-environments. He was one of 49 faculty members selected as the nation’s top engineering educators and researchers by the US National Academy of Engineering to participate in the Frontiers in Engineering Education symposium.
Tomekia Simeon is a Physical Sciences Oncology Center post-doctoral fellow, a part of Northwestern University’s Department of Chemistry. Her research focuses on theoretically modeling DNA sequences which are known to have a higher abundance of specific dinucleotides that contribute to nucleosome affinity and gene regulation. In addition, she has studied the nature of noncovalent interactions in supramolecular complexes, such as catenanes and rotaxanes, using molecular mechanics (MM) and calculations employing ab initio quantum mechanics. Simeon’s research has been supported by the National Cancer Institute at the National Institute of Health and the National Science Foundation. In addition to her scientific research, she volunteers her scientific expertise as a “Science Club” mentor for middle school students at the Boys & Girls Club of Chicago and also as the science education outreach liaison for the Northwestern Energy Technology Group.
Dragica Vasileska is a professor of electrical engineering at Arizona State University. She received B.S.E.E. and M.S.E.E. Degrees from the University of Sts. Cyril and Methodius (Skopje, Republic of Macedonia) in 1985 and 1992, respectively, and a Ph.D. from Arizona State University in 1995. Her research interests include semiconductor device physics and semiconductor device modeling, with strong emphasis on quantum transport and Monte Carlo particle-based device simulations. She received an NSF CAREER award in 1998 and is a senior member of both IEEE and APS. She has published more than 160 publications in prestigious scientific journals, over 80 conference proceedings and refereed papers, and has given numerous invited talks. She is a co-author on two books on computational electronics and is the editor of two books on nanotechnology and nano-electronic device modeling.
Gerhard Klimeck is the Reilly Director of the Center for Predictive Materials and Devices (c-PRIMED) and the Network for Computational Nanotechnology (NCN) and a rofessor of electrical and computer engineering at Purdue University. He guides the technical developments and strategies of nanoHUB.org which annually serves over 1/4 million users worldwide with on-line simulation, tutorials, and seminars. His research interest is the modeling of nanoelectronic devices, bridging the gap between material science and device engineering, and impact studies through science gateways. He is a fellow of the IEEE, American Physical Society, and the Institute of Physics. His over 350 peer reviewed papers have resulted in a citation h-index of 43 on Google Scholar.