, etc.) ● Lead and facilitate group study session to work out problems or organize concepts ● Solving practice problems (from the book, notes, etc.) with minimal or no support from notes and examples Analyze ● Classify and organize problems by concepts ● Analyze case studies or real-world examples of engineering problems, identifying key factors that contributed to success or failure. ● Compare and contrast different engineering theories, models, or approaches to understand their strengths, limitations, and applicability. ● Create a concept map between major
interconnected world.Incorporating modules related to cyber-physical systems, IoT devices, and their cybersecurityinto electrical engineering courses requires a multidimensional approach, considering theconvergence of hardware and software in such systems. Firstly, foundational knowledge in bothcontrol/embedded systems and cybersecurity should be established. These modules can beginwith an introduction to the principles and architectures of CPS integrated with IoT devices,followed by an exploration of real-world applications like smart grids, control systems such asProgrammable Logic controllers (PLC), and power systems such as motor controls. Next,practical labs can be introduced, allowing students to work with hardware platforms likeRaspberry Pi or
connections among the students and from the instructor with 4.08 points. No student felt isolated. - Students agreed that the real-world examples discussed in class helped them to understand the topic better with 4.67 points. No students disagreed with that. One student wrote this regarding the real-world examples in the survey, ‘talk more about the real-world examples. I have limited design experience as a student, so more design examples, EMC design rules, and before and after EMC fix comparisons are going to help me with understanding.’ This demonstrates the need to connect theories/concepts to real-world applications and examples. - Students believed the comic pictures in lecture slides helped them learn better
feedback due to changes in the electrical engineeringprogram. Koll¨offel and Jong [4] observed improved conceptual understanding and proceduralskills on virtual lab inquiry learning, but its ecological validity was questioned.Marasc and Bejkat aimed to boost interest in electrical engineering by integrating it with othersubjects [5]. Sababha et al. [8] implemented project-based learning in an Embedded Systemscourse, enhancing students’ understanding of real-world applications, though lacking specificdetails on the approach’s limitations. Zhang et al. [9] used design-oriented PBL in a powerelectronics course, outlining the course plan and student feedback, but not mentioning thelimitations or challenges.Collaborative Learning emphasizes group
. Du, “Design of application-oriented computer projects in a probability and random processes course forElectrical Engineering majors,” in Proc. ASEE Annual Conference & Exposition, Chicago, IL, June, 2006.[6] J. Ramos and C. Yokomoto, “Making probabilistic methods real, relevant, and interesting using MATLAB,” inProc. IEEE Frontiers in Education 1999 Conference.[7] C. Wang, “Incorporating Real World Examples in a Random Signal Analysis Course,” in Proc. Frontiers inEducation 2022, Uppsala, Sweden, October 2022[8] M. T. H. Chi & R. Wylie, “The ICAP Framework: Linking Cognitive Engagement to Active LearningOutcomes,” Educational Psychologist, 49:4, 219-243, 2014.[9] J. M. Le Doux and A. A. Waller, “The Problem Solving Studio: An
helpsunderstanding.TIMS provides a more "real world" and hands-on experience in courses that involve signals andcommunication compared with only software simulations for students. A series of laboratoryexercises for a signals and systems course was developed to help students understand andvisualize the complex mathematical concepts and gain a better appreciation for how the conceptsare useful in real-world situations: Fourier series analyzer, spectrum analysis of signals, andsampling and aliasing. TIMS labs were also developed for a communication course to givestudents more hands-on experience with the theories and concepts of communications, such asamplitude modulation/demodulation, frequency modulation/demodulation, ASKgeneration/demodulation, BPSK generation
system theory curriculum in many Engineering schools is limited to computer simulations, mostly because of the limited control lab equipment suppliers and modest resources. The Electrical and Computer Engineering (ECE) program’s faculty and graduate students were tasked to design a low-cost system that connects the theoretical concepts learned in class and real-world applications. This system was designed with a modular approach to develop new experiments using the existing system. The developed system is an integration of National Instrument’s (NI) LabVIEW software, NI’s myDAQ (a portable and easy-to-program low-cost data acquisition device), a DC motor with a built-in rotary encoder, and a PCB with the motor
gap between measurement results and simulation. This inturn helped students focus on simulation by using design tools with less time and energy spenton hardware related experiments. Students often easily get lost in theory-based designs andlose insight about real behavior of the circuits and systems. Hands-on experiments via juniorand senior projects, therefore, are essential in the proposed curriculum. As course surveyreveals, students encounter side effects from real world and realize the importance of and spendconsiderable time and efforts on circuit debugging. This process helps them realize textbookknowledge, allows them to learn industry knowledge and, en route, entice more students tomicroelectronics field. Author believes that this
crucial for the practical application of probability theory in real-world scenarios.Moreover, this gives them a chance to think through the problem setting by themselves before theinstructor “discloses” the answer and guides them through the problem-solving process. Since thisis a simplified version of the in-class example presented in the form of a matching problem (ormultiple-choice, multiple-answer, true/false, fill-in-blanks quiz problems in other cases), it doesnot demand a significant time commitment from students. After the lecture, a review question likethe one in Figure 4(d) is often included in the next quiz to give students another opportunity toreflect what they have learnt during class. This type of just-in-time learning periodically
cyber security where it can be utilized for further discoveryof new cyber security concepts. This reduction of complexity is accomplished by providingaccess to necessary information to get started, thereby enabling users to learn by experimenting,gaining practical experience, and learning the real-world applications in an effective manner.The educational advantage of the Antenna Calculator tool is that it would provide students withaforementioned practical experience in complex RF concepts in an approachable and accessibleway as well as decrease the intimidation factor that can often accompany learning new subjectswith significant pre-requisite knowledge. This tool can be integrated into the existing curriculum,allowing students to gain a
students to practical,real-world experiences and laboratory tasks, the application of ECP fosters a greatercomprehension of academic topics through firsthand learning. Studies have also shown how ECPcan enhance engineering ’”students’ educational experiences [26], especially in classes like DigitalElectronics. The goal of ECP is to increase ’”students’ comprehension and interest in the coursematerial using a firsthand approach. This method prioritizes practical, firsthand experience overtraditional lecture-based learning. It aims to link theory and practice, boost engagement, boostcritical thinking and problem-solving abilities, and prepare for applications in the real world.The literature reveals a transformative shift towards experiment-based
recognitionand validation from their peers, fostering positive social outcomes. Within the framework ofCulturally Sustaining Pedagogies (CSP) [8], we encouraged students to integrate their owncultures and personal backgrounds into their project solutions, fostering a sense of belonging andpromoting critical thinking. By using the AIoT board as a hands-on tool, students couldexperiment with culturally relevant AIoT scenarios drawn from real-world contexts. Thispractical approach allowed them to apply their learning in tangible settings, enhancing theirunderstanding and readiness for real-world challenges in AIoT applications. This process alsofostered self-evaluative outcomes through intrinsic rewards and a sense of accomplishment
followed up by anadvanced course where students delve deep into digital design flows, Register Transfer Level (RTL)design, and FPGA synthesis. While these advanced topics are still essential for computer engineeringstudents to learn, the professional practice has taken leaps forward in their use of FPGAs by adoptingnewer technologies. Specifically, the incorporation of FPGAs that support HLS (Fig. 1), the automaticcreation of register-transfer level descriptions from abstract, high-level programming languages (suchas C++), is now the most prolific use-case for FPGAs in cutting-edge, real-world applications [2-4].Furthermore, modern FPGAs have more than just programmable logic, they also contain integratedCPUs that can be leveraged for additional
require virtual labs that don't involve motion. This projecthas challenged them to conduct research about an unfamiliar topic and understand the benefits ofapplying sensor fusion in the real world. The focus of the project encompasses the theoriesbehind sensor fusion and the necessary algorithms used in the project, thus improving theirresearch skills through constant learning of sensor fusion and how to create scenarios with sensorfusion using MATLAB. Furthermore, their skills in MATLAB and Simulink have beenenhanced. The students have found the project to be helpful in applying sensor fusion to theworld around them, making better connections through their research of VR, autonomousvehicles, and object tracking applications, which all use sensor
level of complexity and feasibility. They prioritized the most feasible applications over the more complex and difficult ones. c. Value - One of the key objectives of the project was to demonstrate the potential impact of each application on real-world energy savings. To achieve this objective, the teams calculated the energy savings and carbon reduction that could result from the adoption of a PV solution over a grid-powered solution. They estimated these values assuming 5% of eligible households in America would adopt the solution. d. Originality/Interest - Finally, the teams ranked each application based on their own team and personal interest in undertaking that design and the level
, including being able to effectivelyself-regulate their own learning and take responsibility to understand and apply engineering.In 2015, the Electrical Engineering Department at a University of South Florida (USF)university in the U.S. initiated the Taking Responsibility to Understand Engineering (TRUE)initiative as part of a department cultural transformation program.The TRUE initiative was one of multiple elements in the transformation, and within theinitiative, the implementation of TRUE projects was a key programmatic activity. TRUEprojects bring together students, faculty, industry, and community to engage in doing real-world problem-solving during the 4-year undergraduate program. Students take responsibilityto self-regulate, learn, and apply
established [13]. To enhance students’ conceptualunderstanding, the six courses chosen for redesign will use contextual PBL and CURE projectswith concrete everyday examples and application-oriented discipline-specific projects [15]. Asshown in [14], the general idea is to start from the most concrete, real-world examples and worktoward more abstract concepts.By introducing PBL into the ENGR1 Introduction to Engineering course, freshmen’s first-yearexperience (FYE) is expected to be significantly enhanced. High-quality first-year experience isa high-impact practice that effectively reduces student attrition rates, particularly amongunderserved demographics like URM students [5]. Based on the well-established theoreticalframework of ‘Tinto’s Theory of
as anelective for junior and senior level students in Fall 2024 or Spring 2025.1 IntroductionEngineering students often get caught up in numerical problems, thinking it is the most criticalcomponent of their studies and giving little attention to fully comprehending concepts. This is alsoreflected in how they study, where they tend to memorize relationships and formulas [1], and howthey apply them. As per the author's notice, some of them even misunderstood the skill of problem-solving as how you use a formula to solve a problem rather than the whole process of creativeproblem-solving. However, in engineering real-world problems, applying those relationshipscomes after several stages of problem identification and solution ideation. The
aforest fire has been detected. It is important for students to design projects in class that have real-world applications, so that they can recognize and assess global and ethical issues whendesigning the projects. If temperature information must be gathered constantly throughout aforest to quickly detect when a fire starts and prevent its spread, one solution is to have hundredsof self-powered devices scattered across the forest to detect spikes in temperature and transmitthat information back to the base station. A wireless sensor network consists of nodes that gathersensory information, process it, and communicate it through other connected devices in the samenetwork. By using a wireless sensor node, emergency response personnel can monitor
1, we cover sensors and the importance ofunderstanding the basic principles of sensors for enabling the IoT. In Module 2, we teach how IoTarchitectures provide the framework to transform raw data into insights and actionable knowledge,as well as how to send sensor data via networks (mainly wireless) and the protocols of networksfacilitates turning data into information. In Module 3, we cover computing, various wirelesstechnologies, etc. Table 1. Module-based Course Design Module Name Covered Content Module 1: 1. The IoT model – focus on sensing the real world Devices and 2. A primer to electromagnetic fields and waves Materials 3. A brief review of electronic materials
Intelligence Applications in Real- Life Clinical Practice: Systematic Review," J Med Internet Res, vol. 23, no. 4, p. e25759, 2021/4/22 2021, doi: 10.2196/25759.[8] L. F. Pau, "Artificial intelligence and financial services," IEEE Transactions on Knowledge and Data Engineering, vol. 3, no. 2, pp. 137-148, 1991, doi: 10.1109/69.87994.[9] D. S. Hoadley and N. J. Lucas, "Artificial intelligence and national security," ed: Congressional Research Service Washington, DC, 2018.[10] G. Allen and T. Chan, Artificial intelligence and national security. Belfer Center for Science and International Affairs Cambridge, MA, 2017.[11] A. W. Sadek, "Artificial intelligence applications in transportation," Transportation research
10 1.88 4 10 reliable than the breadboard. The custom PCBA better prepared me for real- 11 7.23 8 10 2.74 2 10 world applications than the breadboard. I would prefer to use the custom PCBA board 12 8 8 10 2.16 4 10 in future lab exercises over the breadboard.In conclusion, the survey data supports the hypothesis that the integration of custom PCBs intothe electrical engineering curriculum enhances the learning environment by streamlining thepractical application of theoretical concepts. The findings suggest that students benefit from theuse of
leveraged an established relationship and a small communitythat allowed entry into unexpected opportunities.The Benefits of NetworkingExcerpts of a student’s essay on the internship experience follow in this section[2]. This sectionhighlights the discouragement the student experience while undergoing the application process.”While in school I would often think of the benefits of having an internship. This would includebeing able to apply the knowledge I learned in classes to the real world as well.By the time my senior year came around, I felt the time for an internship lined up before I graduatedwas ending quickly. I would apply for multiple positions in various states, all applications endedup being denied as I ”did not have enough work
interdisciplinary knowledgedevelopment. We then conclude with proposed revisions to address identified shortcomings.IntroductionToday’s engineering graduate will have the opportunity to work on a set of unique andmeaningful problems with aspects spanning multiple disciplines. For example, meeting many ofthe current global development goals [1], such as providing sustainable energy, clean water andsanitation, or high-quality education, will require a seamless integration of knowledge andmethods from numerous technical and non-technical disciplines. Intuitively, an engineeringgraduate that has developed interdisciplinary competencies will be well-suited for solving suchchallenges, where interdisciplinarity may be considered “as attempts to address real-world
concepts.” “…helpful in explaining the Method of Image get a better understanding of what they look like in the real world…” “…but overtime it became very useful as a visual aid” Portable Vector Network Analyzer “… hands-on application with the nanoVNA” “I would strongly agree that the work with the nanoVNA helped me understand the concept of S parameters and related Electromagnetic Fields and Wave content” Term Project II “… Term Project II. I enjoyed using what I learned in class like the method of image to design a monopole antenna…” 2) Challenges “Technological troubles – Installation, License” “…having
created overlaysonto the real-world machines within their cleanroom facility.[11] Their AR software currently didnot have a “training” aspect to it yet, but exemplifies the exciting possibilities of how these ever-expanding extended reality technologies can be applied within the nanofabrication industry. Itshould be noted that virtual and augmented reality solutions are used extensively in otherindustries. An example is the use of augmented reality in surgery [12] with new developments inHead’s Up Displays progressing rapidly. These would allow the surgeon(s) to stay focused on theprocedure without having to look at multiple screens to interpret digital images, patient data andprogress. Similarly, oil and gas industries are increasingly adopting
and time-intensive maintenance. These short-lived wireless sensor systems often gooffline within a few days, severely limiting their uptake by real users.The root cause of this issue is typically that commercial products are designed to be easy to useand functional for as wide of a customer base as possible. If the product is faster to implement,that is seen as an acceptable trade-off for requiring more batteries. These sponsored capstones area teaching tool but also aim to result in real performance breakthroughs and enable wirelesssensing in application areas where none was available before. Environmental sensing systems inparticular call for long battery life to minimize periodic maintenance, which is expensive at best,or impossible due to
adjusting the existing curriculum with real-world applications, hands-on activities, andproject-based work with semiconductor-related topics. For example, Nelson, et.al, (2017)demonstrated how to create simulations to aid students learning about semiconductors.As it might be anticipated, materials science students exhibited a higher level of exposure to andmotivation towards semiconductor-related topics in comparison to their peers from other majors.This finding aligns with the theoretical foundations of materials science education, which oftenplaces a particular emphasis on semiconductor materials and their applications. Furthermore,these results highlight the importance of integrating semiconductor concepts into the broaderengineering curriculum
. For the teaching of wireless communication systems, SDRhas been the key enabling technology for a wider adoption of PBL pedagogies. SDR’s use ofprogrammable software frameworks and general-purpose hardware lowers the barrier-to-entryfor students to model, implement, debug, and verify real-world communication systems. As withany example of PBL, when using SDR to meet intended learning goals it is important to give dueconsideration to key subject design characteristics such as project complexity and open-endedness.The subject reported in this paper exists as an opportunity for students to integrate priorknowledge from overlapping areas in communication systems, signal processing, and embeddedsystems. As is common in the literature, for the
interactions • Senior design project - The hallmark of the engineering curriculum at Seattle University is our senior design (capstone) project, an academic year-long design project sponsored by local industry, government agencies, or nonprofit organizations. The Project Center at Seattle University interfaces with sponsors to find real-world assignments for design teams typically comprised of 4 students and supported by a faculty advisor, an industry liaison, and a department project coordinator. Over the course of the academic year, teams are responsible for both technical aspects of the project including designing, building, and testing a prototype (if applicable), and project management