Paper ID #29164Exposing undergraduate engineering students to nonlinear differentialequations using a practical approach in project based learningenvironments ¨Dr. Gunter Bischof, Joanneum University of Applied Sciences Throughout his career, Dr. G¨unter Bischof has combined his interest in science and engineering applica- tion. He studied physics at the University of Vienna, Austria, and acquired industry experience as devel- opment engineer at Siemens Corporation. Currently he is an associate professor at Joanneum University of Applied Sciences and teaches engineering and applied mathematics.Mr. Maximilian Brauchart
Society for Engineering Education, 2020 Improving STEM Education by Analyzing the Design of a BottleAbstractSTEM education for students is an essential aspect of today’s education since it leads to greaterdevelopment in the modern world and more technological achievements. Achieving this sort ofeducation can be done by performing an engineering analysis to determine the volume content ofa wine bottle. The project conducted here was to determine the volume of a wine bottle bymeasuring it at various points and using mathematics to perform this real-world analysis. Itsobjective is not only to reflect on what was done but to introduce it as a STEM-related project toencourage new growth within the STEM fields. There was also extended reasoning
Assistant Professor of the Department of Computer Science, University of Victoria, in Canada, and an IEEE Senior Member. Her research interests include engineering education, context- management, cyber physical systems, context-aware analytics, self-adaptive and self-managing systems, and runtime software evolution. She conducted her PhD at University of Victoria, between September 2009 and February 2013. In November 2011 she received the IBM Canada CAS Research Project of the Year 2011 for the application of context-awareness and self-adaptation to the improvement of on-line shopping systems. Over the last ten years she have co-authored an important number of scientific papers on software engineering, co-chaired several
the prediction and modelling of insidious cyber-attack patterns on host network layers. She also actively involved in core computing courses teaching and project development since 1992 in universities and companies. c American Society for Engineering Education, 2020 Applications of Linear Algebra applied to Big Data Analytics1. IntroductionThe digital universe (the data we create and copy annually) is doubling every two years and willreach 44 zettabytes (44 trillion gigabytes) in 2020 [1]. The stored digital data volume has grownexponentially over the past few years [2, 3]. In 1986, only three exabytes of data existed and in2011 it went up to 300 exabytes [3], and at the end of 2020 it might
, University of St. Thomas Krista is an undergraduate Elementary Education and STEM Education major at the University of St. Thomas.Abby Bensen, University of St. ThomasMs. Emma Michelle Monson, University of St. Thomas Emma Monson is an undergraduate studying Elementary Education with a STEM co-major at the Univer- sity of St. Thomas. c American Society for Engineering Education, 2020 Math of OK GoIntroduction Grammy Award-winning rock band OK Go places mathematics concepts at the heart ofits exciting music videos. Through the OK Go Sandbox project, the band has partnered with thePlayful Learning Lab at the University of St. Thomas to create several education
on STEM-related projects. American c Society for Engineering Education, 2020 Work in Progress: Mathematical software and programming preparation of undergraduate engineering students in mathematics coursesIntroductionThis paper is reporting on work in progress investigating the perceived and actual contributionsmathematics and engineering departments make to the software and programming preparation ofundergraduate engineering students. Engineering students often must depend on multipledepartments within a university for the various components of their degree program, includingnot only the department housing their core engineering courses, but also the
Paper ID #30800Lessons from a Lower Division Mathematics Co-Teaching SequenceDr. Charles Lam, California State University, Bakersfield Dr. Charles C.Y. Lam is a Professor in the Department of Mathematics. Dr. Lam received his Ph.D. in Combinatorics and Optimization from the University of Waterloo. His research areas are in cryptography, digital watermarking, and STEM education. He is the PI for the NSF IUSE grant (NSF-DUE 1430398) for STEM retention, and the co-PI for the NSF Federal Cyber Service grant (NSF-DUE1241636) to create models for information assurance education and outreach. He is currently the Project Director
name is Berrak Seren Tekalp, I am from Turkey, and I am a junior in Industrial Engineering at Quin- nipiac University. I have a mathematics and a general business minor. Beginning in my sophomore year, I’ve done many academic types of research with my professors. In these projects, I have used advanced features within the IBM SPSS Statistics and Excel programs. I am a hard and reliable worker. I have been able to expand my communication skills, and through my time as an active member of multiple student organizations and engineering groups at Quinnipiac. I’ve led numerous meetings and club projects. I am comfortable with working in teams. c American Society for Engineering Education, 2020
complete picture of students’learning/proficiency, so assessment method will include, at a minimum, individual and groupquizzes/tests, authentic performance tasks, portfolios (and possibly projects), observations andinterviews. The most relevant types of assessment in this case are formative (multiple timesduring the instruction process), summative (to be focused on student’s comprehension), andinterim assessments. The idea of explaining STEM material in visual and intuitive ways is not new. Forexample, Tyler DeWitt [1] taught high school students the topic of isotopes. He explained thatisotopes are basically the same atom using an analogy involving similar cars with minor changes.There are a few calculus textbooks that include visual
research projects. He has collaborated extensively with colleagues across the University on the design, analysis, and presentation of data from both surveys and experiments. He is a co-author on peer-reviewed publications and a co-PI on funded research projects each year. He teaches both undergraduate and graduate level courses in statistical methods, regression analysis, statistical research design, and data analysis. American c Society for Engineering Education, 2020 Towards Creating Motivationally Supportive Course Structures for Introductory CalculusAbstractThis paper reports the qualitative phase of a sequential explanatory mixed
Paper ID #30974The Use of Computer Programming in a Secondary Mathematics ClassJaCoya Thompson, Northwestern University JaCoya Thompson is a PhD student in the Computer Science Department at Northwestern University. She is a research assistant on the Computational Thinking in STEM project. Her research interests include the use of computational tools to support novice learner’s exploration of mathematics concepts in formal learning environments.Dr. Sally PW Wu, Northwestern University Sally P.W. Wu is the Director of Curriculum Development at Northwestern University. Her work on the Computational Thinking in STEM
, Jerome P. and Keltie, Richard F. Calculus Intervention for First-Semester En- gineering Students. College of Engineering, North Carolina State University, 2005. http: //soa.asee.org/paper/conference/paper- view.cfm?id=220303. Hensel, Robin, Sigler, J. Ryan, and Lowery, Andrew. AC 2008-2079: Breaking the Cycle of Calculus Failure: Models of Early Math Intervention to Enhance Engineering Retention. West Virginia University. ASEE 2008. http://soa.asee.org/paper/conference/paper-view. cfm?id=87604. Koch, Darryl, and Herrin, Gary D. Intervention Strategy for Improving Success Rates in Calculus. University of Michigan. ASEE 2006. http://soa.asee.org/paper/conference/ paper- view.cfm?id=9775. Has the calculus reform project improved
being used in an increasing number of undergraduate courses and projects 2 3 4 5 6 7 .A brief survey of earlier courses on neural networks is given by Shibberu 8 . In this paper wedescribe a course on deep learning taught four times in a mathematics department to a total ofover 100 students, 93% of whom were undergraduates. The goals of the course are to: • use the mathematics background of STEM majors to develop, from first principles, the key concepts used in deep learning. • expose students to empirical modeling. • expose students to the advantages of machine learning over machine programming. • inspire students to use deep learning in their future work.Organizing PrinciplesCourses can be organized either from a top-down
ready for Calculus the following fallwithout the need for a summer course or delaying their studies unnecessarily.This Integrated Precalculus I course was offered as a pilot program in 2017 and has now beenoffered for three consecutive years. Only students in the STEM majors of engineering,economics, chemistry, computer science, kinesiology, and mathematics are currently allowed totake the course as they all require some sequence of mathematics that involves courses that areonly offered once a year. This is an ongoing project as we are still evaluating the course throughstudent success in subsequent mathematics courses, retention in the major and at the university,and time to complete the mathematics sequence. We are in phase one of conducting
development of expertise, especially in STEM fields. He is currently Associate Professor of Psychology at Western Washington University. In previous projects Dr. Haskell has worked on understanding how chemistry novices and experts navi- gate between macroscopic, symbolic, and small particle representations, and how pre-service elementary teachers translate an understanding of energy concepts from physics to other disciplines. c American Society for Engineering Education, 2020 Getting Your Hands Dirty in Integral CalculusAbstractThe landscapes of many elementary, middle, and high school math classrooms have undergonemajor transformations over the last half-century, moving from drill-and