#32 - Incorporating 3D Printing into Introductory Engineering Courses

Integration of hands-on activities, and design projects into course curriculum have been shown to significantly enhance and deepen understanding of concepts in the course. Three-dimensional (3D) printing has been a subject of many academic and industrial research projects. This abstract presents our efforts to integrate 3D printing technology into our pre-engineering and physics courses at University of North Georgia (UNG) Gainesville campus. The Physics Department in collaboration with the Art Department in the UNG Gainesville Campus opened a Digital Fabrication Lab (DFL) located in Dunlap Mathis Building. The goals of the lab are to assist faculty to develop the curriculum and to help students develop a deeper understanding of science and engineering techniques when creating a digital 3D object. A formal introduction to the DFL’s 3D printers is presented as a part of Computer-Aided Design (CAD) topics in the pre-engineering courses. As part of a semester group project, student project teams created CAD models of their design using Autodesk’s CAD software and 3D printed them with the assistance of the TAs. Most of the students who took part in this design projects had no or limited experience with both CAD modeling as well as 3D printing technology. But despite having limited prior experience, all student indicated a relatively high interest in learning more about 3D printing technology. Currently Physics, Pre-engineering, and Art students have been direct beneficiaries of the Digital Fabrication Lab. 3D printing technology helped students to successfully correlate and implement various science and engineering concepts that they learnt in class through hands-on activities. In the future, research will go into finding out ways 3D printing can be introduced to higher level science and engineering classes, by showcasing 3D printed objects and different filaments’ properties, such as tolerances, tensile strength, elastic strength etc

Security and computer forensics in web engineering education

The integration of security and forensics into Web Engineering curricula is imperative! Poor security in web-based applications is continuing to cost organizations millions and the losses are still increasing annually. Security is frequently taught as a stand-alone course, assuming that security can be 'bolted on' to a web application at some point. Security issues must be integrated into Web Engineering processes right from the beginning to create secure solutions and therefore security should be an integral part of a Web Engineering curriculum. One aspect of Computer forensics investigates failures in security. Hence, students should be aware of the issues in forensics and how to respond when security failures occur; collecting evidence is particularly difficult for Web-based applications

CESEC Chair – Training Embedded System Architects for the Critical Systems Domain

Increasing complexity and interactions across scientific and tech- nological domains in the engineering of critical systems calls for new pedagogical approach. In this paper, we introduce the CESEC teaching chair. This chair aims at supporting new integrative ap- proach for the initial training of engineer and master curriculum to three engineering school in Toulouse: ISAE, INSA Toulouse and INP ENSEEIHT. It is supported by the EADS Corporate Foundation. In this paper, we highlight the rationale for this chair: need for sys- tem architect with strong foundations on technical domains appli- cable to the aerospace industry. We then introduce the ideal profile for this architect and the various pedagogical approaches imple- mented to reach this objective

Education Research Using Data Mining and Machine Learning with Computer Science Undergraduates

In recent decades, we are witness to an explosion of technology use and integration of everyday life. The engine of technology application in every aspect of life is Computer Science (CS). Appropriate CS education to fulfill the demand from the workforce for graduates is a broad and challenging problem facing many universities. Research into this ‘supply–chain’ problem is a central focus of CS education research. As of late, Educational Data Mining (EDM) emerges as an area connecting CS education research with the goal to help students stay in their program, improve performance in their program, and graduate with a degree. We contribute to this work with several research studies and future work focusing on CS undergraduate students relating to their program success and course performance analyzed through the lens of data mining. We perform research into student success predictors beyond diversity and gender. We examine student behaviors in course load and completion. We study workforce readiness with creation of a new teaching strategy, its deployment in the classroom, and the analysis shows us relevant Software Engineering (SE) topics for computing jobs. We look at cognitive learning in the beginning CS course its relations to course performance. We use decision trees in machine learning algorithms to predict student success or failure of CS core courses using performance and semester span of core curriculum. These research areas refine pathways for CS course sequencing to improve retention, reduce time-to–graduation, and increase success in the work field

Multinational perspectives on information technology from academia and industry

As the term \u27information technology\u27 has many meanings for various stakeholders and continues to evolve, this work presents a comprehensive approach for developing curriculum guidelines for rigorous, high quality, bachelor\u27s degree programs in information technology (IT) to prepare successful graduates for a future global technological society. The aim is to address three research questions in the context of IT concerning (1) the educational frameworks relevant for academics and students of IT, (2) the pathways into IT programs, and (3) graduates\u27 preparation for meeting future technologies. The analysis of current trends comes from survey data of IT faculty members and professional IT industry leaders. With these analyses, the IT Model Curricula of CC2005, IT2008, IT2017, extensive literature review, and the multinational insights of the authors into the status of IT, this paper presents a comprehensive overview and discussion of future directions of global IT education toward 2025

Incorporating engineering in high school biology

textThe purpose of this project was to create a series of lessons that incorporate both Biology and Engineering concepts. The three lessons were intended to increase in complexity as the students progress throughout the year. Using PyMol software allowed students to visually represent complex protein structures while introducing and providing an opportunity to practice programming. Each lesson was followed by a worksheet or activity to aid in students' comprehension and application of practice. These lessons were designed to maximize students' time learning to program and using PyMol software while enhancing the current curriculum. Lesson one introduced students to the PyMol software while building and representing the four main structures of proteins. With increased programming knowledge, lesson two focused on modeling the DNA double helix. The final lesson introduced students to evolutionary relationships based on a protein's amino acid sequence.Science, Technology, Engineering, and Mathematics Educatio

Curriculum Guidelines for Undergraduate Programs in Data Science

The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

Addressing challenges to teach traditional and agile project management in academia

In order to prepare students for a professional IT career, most universities attempt to provide a current educational curriculum in the Project Management (PM) area to their students. This is usually based on the most promising methodologies used by the software industry. As instructors, we need to balance traditional methodologies focused on proven project planning and control processes leveraging widely accepted methods and tools along with the newer agile methodologies. Such new frameworks emphasize that software delivery should be done in a flexible and iterative manner and with significant collaboration with product owners and customers. In our experience agile methodologies have witnessed an exponential growth in many diverse software organizations, and the various agile PM tools and techniques will continue to see an increase in adoption in the software development sector. Reflecting on these changes, there is a critical need to accommodate best practices and current methodologies in our courses that deliver Project Management content. In this paper we analyse two of the most widely used methodologies for traditional and agile software development – the widely used ISO/PMBOK standard provided by the Project Management Institute and the well-accepted Scrum framework. We discuss how to overcome curriculum challenges and deliver a quality undergraduate PM course for a Computer Science and Information systems curricula. Based on our teaching experience in Europe and North America, we present a comprehensive comparison of the two approaches. Our research covers the main concepts, processes, and roles associated with the two PM frameworks and recommended learning outcomes. The paper should be of value to instructors who are keen to see their computing students graduate with a sound understanding of current PM methodologies and who can deliver real-world software products.Accepted manuscrip

Emerging cad and bim trends in the aec education: An analysis from students\u27 perspective

As the construction industry is moving towards collaborative design and construction practices globally, training the architecture, engineering, and construction (AEC) students professionally related to CAD and BIM became a necessity rather than an option. The advancement in the industry has led to collaborative modelling environments, such as building information modelling (BIM), as an alternative to computer-aided design (CAD) drafting. Educators have shown interest in integrating BIM into the AEC curriculum, where teaching CAD and BIM simultaneously became a challenge due to the differences of two systems. One of the major challenges was to find the appropriate teaching techniques, as educators were unaware of the AEC students’ learning path in CAD and BIM. In order to make sure students learn and benefit from both CAD and BIM, the learning path should be revealed from students’ perspective. This paper summarizes the background and differences of CAD and BIM education, and how the transition from CAD to BIM can be achieved for collaborative working practices. The analysis was performed on freshman and junior level courses to learn the perception of students about CAD and BIM education. A dual-track survey was used to collect responses from AEC students in four consecutive years. The results showed that students prefer BIM to CAD in terms of the friendliness of the user-interface, help functions, and self-detection of mistakes. The survey also revealed that most of the students believed in the need for a BIM specialty course with Construction Management (CM), Structure, and Mechanical-Electrical-Plumbing (MEP) areas. The benefits and challenges of both CAD and BIM-based software from students’ perspectives helps to improve the learning outcomes of CAD/BIM courses to better help students in their learning process, and works as a guideline for educators on how to design and teach CAD/BIM courses simultaneously by considering the learning process and perspectives of students. © 2018 The autho