While a number of issues affect student success, an area of great concern is student retention. Studies have shown that students are more likely to stay in college if they have clear goals, are active learners, and are active participants in classroom activities. In other words, students learn more when they are intensely involved in their education and have opportunities to apply what they are learning. Students also benefit when they are engaged in the teaching and learning of their peers, such as group work, peer review, study groups, and peer teaching in and out of class. Flipping the classroom is a relatively new active learning technique that faculty at many institutions have incorporated in their teaching. In a flipped classroom, laboratory and in-class activities replace typical class-lectures. Lectures are normally delivered over some other medium such as video on-demand or podcasts. However, there is no specific model for flipped classrooms, it simply draws on such concepts as student engagement, hybrid course design, and course podcasting. This paper describes how the flipped classroom technique was incorporated into a three-credit electrical engineering course that met twice a week. This paper presents details about the course, discusses student survey results, and describes plans to improve the delivery of this and similar courses.

Network latency causes a delay in transmitting a message from one location to another. This can be attributed to several other factors, such as network congestion, network traffic, and computer storage capacities. Of course, the distance between two locations is the main factor that contributes to the delay. Since transmission between two cities will not be a straight path, latency is subject to detour and can be a factor of any deviation between these cities. These factors, along with a loss of the data and energy aspects of the transmission, will be investigated as this paper attempts to summarize latency estimation using regression and numerical models. Path prediction can be done up to a number of transmission towers or satellites between two cities. Latency estimation to locate either the client, client server, or host will be analyzed using a liner regression model leading to the same numerical model. Reliability analysis stemming from latency will be done at the end of this article.

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sity. I got my Ph.D. in Engineering Management in the Department of Engineering Management and Systems Engineering at Old Dominion University in August, 2012. I received an M.E. degree in Systems Engineering from the same department in May, 2009. I received a B.S. degree in Management Information Systems (MIS) from the department of Business Administration at the Faculty of Economics and Administrative Sciences at the Hashemite University, in Zarqa, Jordan, in 2007. My research interest are focused on Engineering management and systems engineering applications in healthcare, manufacturing, operations management, business, and other industries; modeling and simulation of complex systems; distributed networked operations.