A Case Study of Designing an E-learning Electrical Engineering Course

Contribution: This work evaluates the role of the complementary training programs (CTPs) offered by the Center for Research and Development in Electronic and Information Technology (CETELI), from the Federal University of Amazonas, Brazil. This analysis highlights the relevant role of the CTP, carried out by CETELI, in supporting students in the engineering undergraduate course, thus reducing dropouts and improving retention of low-income students. Background: The great challenge of engineering courses and of all courses in the technological area is to keep in step with the job market and, thus, provide better conditions for entering trainees. Intended Outcomes: Based on the experience of this work, other electrical engineering courses should be encouraged to adopt partnerships with industries, offering the possibility for students to carry out project activities on topics of interest to industries and, especially in developing countries like Brazil, to associate this activity with the provision of scholarships. Application Design: The evaluation assesses the impact of the various CTP partnership projects (PPs) on the graduation rate (GR), on students’ academic performance, and on the average graduation time (GT). It also assesses how the CTP students entered the job market, measuring whether the CTP facilitated their entry. Findings: It was observed a difference in the GR between the students who participated in the CTP and students that did not participate in the CTP. For the computer engineering course, this rate was about five times higher. It was observed that more than half of the students who participated in the CTP entered the market and were hired almost immediately for work in their area of training.

Advancements in communications technology and communications services have triggered a global appetite for bandwidth. This appetite contributes to an increasing bandwidth demand that can only be met with a new optical technology known as dense wavelength division multiplexing (DWDM). This technology has appealed to graduate students manifested by an enrollment increase in telecommunications. What makes DWDM possible is photonic technology that is based on principles of solid state physics, optics, and photonics. Although such courses are taught in a physics curriculum, currently they are not considered core courses in electrical and computer engineering. For the first time, physics, photonic technology and communications networks need to be aligned and sequenced to a comprehensive optical communications curriculum. In this paper, we describe the teaching philosophy of optical networking for the TCOM graduate program of the University of Oklahoma at Tulsa.

The education of students in the area of telecommunications systems engineering is of rising significance as global economies become ever more reliant upon telecommunications technologies and services. Notwithstanding its broad-based origins from within electrical engineering, the study of telecommunications systems is today recognized as an academic discipline in its own right. The University of Oklahoma (OU) - Tulsa is one of a select few that offers a Master of Science degree in Telecommunications Systems under the aegis of the School of Electrical and Computer Engineering. The degree has been designed with a common set of core courses: Telecommunications Industry Overview, Telecommunications Technology, Network Design and Management, Telecommunications Laboratory, and Professional Project. In addition, students may choose technical electives from among electrical and computer engineering, computer science, mathematics, and telecommunications systems courses. Students may also choose up to six credit hours of approved elective courses in relevant disciplines such as finance, telecommunications management, economics, and industrial engineering. A key resource supporting the program is the Telecommunications Interoperability Laboratory 1 , a facility designed to provide students with unmatched access to carrier-grade telecommunications technologies. Students entering the program are expected to have undergraduate preparation in electrical and computer engineering. This paper describes the curriculum and program goals, as well as the motivation behind their development.

The purpose of this study was to determine the effectiveness of using Virtual Reality-Based virtual laboratories on student learning outcomes in the Internet of Things Course in the Electrical Engineering Study Program, the average difference in student learning outcomes through the use of Virtual Reality-Based virtual laboratories in the Internet of Things Course in the Engineering Study Program Electrical Engineering, and student learning motivation through the use of Virtual Reality-Based virtual laboratories in the Internet of Things Course in the Electrical Engineering Study Program. This research is an experimental research approach that will be used is Quasi Experimental Design with the form of Nonequivalent Control Group Design. The validation test was carried out by measurement experts for post-test and pre-test questions, each aspect was tested by two experts. The results of the study show the effectiveness of using Virtual Reality-Based virtual laboratories to improve student learning outcomes in the Internet of Things Course in the Electrical Engineering Study Program. The increase in student learning outcomes analyzed using N-gain in the experimental class obtained an average value of 0.65 including the medium category, and the average N-gain for the control class was 0.15 in the low category. Meanwhile, the average difference in student learning outcomes through the effectiveness of using Virtual Reality-Based virtual laboratories in the Internet of Things Course in the Electrical Engineering Study Program is significantly and significantly different. The results of the experimental class data analysis obtained the t_count > t table value, namely 8,351 > 2,003 and the Sig. (2-tailed) 0.005 <0.05, then Ha is accepted, meaning that there is a difference in the average student learning outcomes after using a virtual reality-based virtual laboratory in the internet of things course in the Electrical Engineering Study Program. Student motivation through the use of Virtual Reality-Based virtual laboratories in Internet of Things Courses in the Engineering Study Program can increase very well

This research was developed in the Master in Education of the Federal University of Uberlândia, in the period 2001/2002, with the objective of analyzing the knowledge and practices failures in the teaching-learning process of the Electrical Engineering course at UFU, with a focus on understanding the forms, meaning and function of evaluative practices in failures in the context of the subjects surveyed (students, teachers); seeking to apprehend the relationship between social representations about this phenomenon and its repercussions on the interactions between teacher and student, in the teaching-learning process and in the perpetuation or transformation of educational practices carried out in the Electrical Engineering course at UFU. It is a research with an emphasis on qualitative aspects, but which contains many quantitative data that served as a subsidy for the choice of the interviewed subjects, of the researched aspects, and to present the failure rates in the period from 1997 to 2001 in a more systematic way , referring to the disciplines common to the two emphases existing in the course: Electronics and Electrotechnics. The interviewed subjects were eight students who had already taken the five subjects that presented the highest failure rates in the defined period, which are: Electromagnetism, Material Mechanics, Electrical Circuits 1, Differential and Integral Calculus 3 and Electrical Materials 1; and three teachers from those same disciplines. In the interviews, in the However, the focus was not only on the five disciplines mentioned, because what was sought to understand and analyze in a more approximate way was the factors that caused the failures, without specifying any discipline. It was based on the assumption that there were ideas, attitudes, behaviors produced in the space socially shared by the group and that these circulated and strongly influenced the perpetuation of failures, which is characteristic of a social representation. To better understand the phenomenon of failures, a historic rescue of the Faculty of Electrical Engineering at UFU was carried out, engineering education and training was discussed in general and a study on learning assessment. The analyzes developed here show that the facing the problem of failures in the Electrical Engineering course at UFU, as well as engineering courses at other institutions implies improving the teaching-learning process learning and training of engineering teachers. It also implies the need for a dynamic and global understanding of the context and everyday life of the course, in order to break with those conservative and authoritarian views, attitudes and practices that favor the perpetuation of phenomena such as failures, and that generate passivity and conformism. between teachers and students.

Abstract: This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on Electronics 1. Electronics 1 is found to be a core subject with the history of high failure rate percentage (more than 25%) in previous semesters. This research has been conducted on current final semester students (Semester 5). Seven (7) models of ANN are developed to observe the correlation between the subjects. In order to develop an ANN model, ANN design and parameters need to be chosen to find the best model. In this study, historical data from students’ database were used for training and testing purpose. Total number of datasets used are 58 sets. 70% of the datasets are used for training process and 30% of the datasets are used for testing process. The Regression Coefficient, (R) values from the developed models was observed and analyzed to see the effect of the subject on the performance of students. It can be proven that Electric Circuit 1 has significant correlation with the Electronics 1 subject respected to the highest R value obtained (0.8100). The result obtained proves that student’s understanding on Electric Circuit 1 subject (taken during semester 2) has direct impact on the performance of students on Electronics 1 subject (taken during semester 3). Hence, early preventive measures could be taken by the respective parties. 
 
 Keywords: Artificial neural network, Diploma in Electrical Engineering, Graduate on time, Correlation.

This article describes the introductory two-semester course in electrical engineering that has been developed over a period of five years at Princeton University. The aims of the course are to provide an introduction to the field of electrical engineering via the basic concepts of electricity and magnetism (which are developed through Maxwell's equations in the integral form), to apply these concepts in developing the fundamentals of energy conversion and circuit theory, and to carry forward, in a continuous and integrated way, a modern treatment of network analysis. Thus, the treatment proceeds from field ideas to circuits and physical apparatus, and to their mathematical models. With the circuit relations formulated, attention turns to the analysis of networks, starting with network topology and extending through pole-zero ideas. The treatment stops just short of the Laplace transform. This course is intended to serve as a foundation for subsequent courses such as electronic circuits, energy conversion, and advanced network analysis and synthesis, and has been developed with the purpose of providing the student with a unifying point of view for these varied topics.

Internet of Things (IOT)-based lighting installation development Since teaching aids are an exact science, it is essential to have a tool that can depict the subject covered in the Electrical Installation Engineering course. The teaching tools created are meant to help lecturers better present the topic for electrical installation engineering to their students while also making it simpler for them to comprehend. In order to turn on and off lights and outlets using a smartphone and a manual switch in the event that the wifi network is damaged, this study added Internet of Things (IOT) installation procedures and a swap switch. The Research & Development approach is being used in this investigation. A validation sheet is created by planning and creating research instruments, which is what is done to test the viability of instructional aids by professional validators. According to the results of expert validation, this teaching tool is appropriate for use with media and material experts based on the percentage values of media expert 1 receiving a score of 94.28% and media expert 2 receiving a score of 97.14%, and for material expert 1 receiving a score of 90% and material expert 2 receiving a score of 92%, with the category "Very Eligible".

In response to the demand for cultivating high-quality applied professionals with both engineering and humanistic qualities in the new era, contemporary university education not only undertakes the responsibility of imparting professional knowledge and skills, but also shoulders the responsibility of ideological and political education for students. This article design the teaching process and evaluation system of Electrical Engineering courses in order to cultivate engineers with both moral integrity and professional competence.Through course learning, students will not only master the basic knowledge and corresponding skills of electrical and electronic technology, but also possess the spirit of striving for excellence as a national craftsman, with a sense of serving the country through science and technology.And the students will be able to undertake the mission of the great rejuvenation of the Chinese nation. By studying the teaching mode of electrical engineering courses, reference value is provided for the reform and innovation of higher education related majors and teaching curriculum systems

Special issue on <i>specialized</i> computer architecture simulators that see the present and may hold the future

This article analyzes 10 electrical engineering undergraduate courses in Brazil. The analysis was performed using several institutional indices, namely, the National Student Proficiency Exam (ENADE), Preliminary Concept of the Degree (CPC), General Index of the Degree (IGC), Institutional Concept (CI) and Human Development Index (HDI). A regional analysis confirmed that the undergraduate electrical engineering courses in the north-northeast region of Brazil have a different structure from that of institutions in the south-southeast of the country. The courses at universities in the south-southeast region have the best institutional indicators, however, in general they have the lowest workloads. The total workloads range from 4974 hours (the largest) to 3600 hours (the lowest). Three electrical engineering courses have workloads that exceed 4000 hours (the Federal University of Santa Catarina [UFSC], the Federal University of Bahia [UFBA] and the Federal University of Para [UFPA]). On the other hand, of the top 4 courses with the highest scores in ENADE: UFSC, (the Federal University of Minas Gerais [UFMG], the Federal University of Rio Grande do Sul [UFRGS] and the University of Brasilia [UNB]), only one of them, UFSC, has a workload that exceeds 4000 hours.

One of the common difficulties faced by an entrant of an undergraduate course studying Electrical Engineering is in understanding the fundamentals of Alternating circuits (a.c.).In order to address the identified difficulty, modern engineering tool was introduced to enhance the learning in a.c.circuits as simulation tool plays an important role within the frame of teaching and learning in education across the world.With the performance of students in continuous internal examination (CIE) being less, there was a need to improvise their understanding the concepts of a.c.circuit, hence this activity was planned and implemented.The activity was initiated with the introduction to Personal computer Simulation Program with Integrated Circuit Emphasis (PSPICE) simulation tool.Simulation tool was applied in designing structured learning experiences and it was targeted to enhance teamwork competencies and understand the fundamentals of a.c.circuits.Students were trained to simulate complete and well-formed circuits which helped their learning environment suitable for supplementing traditional method of chalk and talk instruction.The activity was concluded by a feedback survey to measure the effectiveness of learning through simulation assignment on teaching & learning process in regular curriculum.The response from the students' feedback showed that they were more satisfied with simulation assignment compared to conventional one; it helped them to understand theoretical concepts better.It also showed increased involvement in learning during the activity.The performance in CIE was compared with semester end examination (SEE), and it was found that the students' performance in SEE showed significant improvements in understanding the concepts of a.c.circuits.The work presented in this paper summarizes the effectiveness of simulation package used in enhancing teaching and learning in fundamental course of electrical engineering.

In this paper, we present a detailed action plan under continuous quality improvement (CQI) exercise of outcomes based education framework related to Mathematics concerns highlighted by the Electrical Engineering (EE) Department. Failing and low performed student learning outcomes (SOs) and course learning outcomes (COs) in range of core EE courses were observed to be linked with weak Mathematics basis of students. This feedback was achieved through an automated CQI system in EvalTools under Faculty Class Assessment Report (FCAR) tab, where each instructor is required to make reflections about failing as well as low performed SOs and COs. Feedback was reviewed comprehensively, and mathematical concepts which significantly affect the performance of students in the core EE courses were derived. Moreover, a high level of Mathematics pre-requisite covering required mathematical concepts is identified for the range of core EE courses. Consequently, well-defined tasks were assigned to continuously evaluate and monitor improvement in required Mathematics concepts to ensure SOs and COs achieved in core EE courses. Results are given to exhibit the effectiveness of continuous improvement management system (CIMS).

For educational purposes there is a need to teach electrical and computer engineering students the basics of the design of state machines using programmable logic devices, and for students interested in mobile robots to teach them the basics of mobile robots' behaviors. At the same time one of the topics of interest in the mobile robot's community is how to generate their new behaviors, using state machines, automatically. This paper discusses how to create mobile robots' behaviors using genetic algorithms (GAs), implementing them in programmable logic devices (FPGAs) and how these behaviors can be programmed by students in a mobile robotics course. The behaviors are encoded as algorithm state machines and using feed-forward artificial neural networks (ANN). In the state-machine approach, each individual's chromosome represents, given a set of inputs coming from the sensors and the current state, both the next state and the outputs that control the robot's movements. In the ANN approach, whose weights are found also with GAs, a pipeline architecture was built to perform it, each pipeline executes a layer of the ANN, thus once the pipeline is full the execution speed of the ANN is one sensors' clock cycle. We evaluate the behaviors generated by the GA according to a fitness function that grades their performance for avoiding obstacles. The inputs to such a robot are infrared sensors to detect obstacles, the outputs are the velocities of its wheels. Our objectives are first, to prove that GAs are a good option as a method for finding behaviors for mobile robots' navigation, and second, that these behaviors can be implemented in an efficient way in FPGAs. We tested both behaviors in a small mobile robot, that is build in an electrical engineering course that teaches how to build mobile robots.

The subject of physiological modeling has been introduced in two conventional electrical engineering courses. Models of the respiratory process, waste generation, oxygen exchange, enzyme kinetics, and blood flow have been introduced. Although most engineering students have little background in physiology, it has been possible to introduce models that can be useful in the design of medical devices that must be compatible with a complex system.