Paper ID #15684Integrated Curriculum Design for an Industrial Engineering UndergraduateProgram in Latin AmericaDr. Ang´elica Burbano, Universidad Icesi Angelica Burbano C.,holds a Ph.D. in Industrial Engineering from the University of Arkansas. She holds a MSOM from Universidad Icesi and a BS in industrial engineering from Pontificia Universidad Javeriana both in Cali, Colombia. She is a Fulbright Scholar 2007 and a fellow AOTS, Japan 2000. Angelica has previous experience (five years) in the food manufacturing industry (experience related to inventory management and production planning and control, also information systems
, distributed simulation, adaptive control systems, digital signal processing, and integrat- ing technology into engineering education. He has also been an industry consultant on in discrete event modelling for strategic planning. Professor Elizandro received the University Distinguished Faculty Award, Texas A&M, Commerce and College of Engineering Brown-Henderson Award at Tennessee Tech University. He served as Governor’s Representative for Highway Safety in Arkansas and member of the National Highway Safety Advisory Commission during the Jimmy Carter presidency. He is also a member of Tau Beta Pi, Alpha Pi Mu, and Upsilon Pi Epsilon honor societies. c American Society for Engineering
that can beintegrated to the curriculum design and review process. We describe the adaptation of a user-based collaborative filtering recommender systems algorithm to analyze the online data and toconvert the data into relevant information that can be used as input to the process. Anundergraduate industrial engineering Operations Planning and Control course case study wasused to illustrate the adaptation of the algorithm. Some of the topics taught in the course weresearched on websites that advertise jobs and tallied. A professor who is familiar with the topicsalso provided expert judgments with regard to the relevance of the topics to industry needs. Bothdata sets were used as inputs to the algorithm. The experimental results show that some
programs in a range of engineering disciplines1,2. Morgan Stateand Stony Brook in Electrical Engineering and University of Alabama in MechanicalEngineering have 2+2 programs online3,4,5. Our program in Industrial Engineering is similar tothe 2+2 online programs at other universities in other disciplines. The rest of the paper is organized as follows. Section 2 discusses the degree plan andcourse modifications required for online teaching. Section 3 discusses the delivery technologyand approaches used to offer online courses. Section 4 discusses the potential market for thisprogram. Section 5 discusses marketing and outreach efforts. Section 5 presents the evaluationresults of a student survey about online courses and discuss the progress of
Survey Question All Business Engineer Extrinsic Chances for promotion are good 4.33 4.35 4.20* Intrinsic See results of what you do 4.31 4.31 4.31 Intrinsic Learn new things, skills 4.25 4.23 4.32 Long Term Good health care, benefits 4.24 4.27 4.03** Long Term Predictable, secure future 4.17 4.21 3.87** Long Term Good retirement plan (e.g., 401K) 4.09 4.13 3.85** Extrinsic Chance to earn good deal of money 4.07 4.10 3.87** Supervision Supervisor supports personal commitments
presentations in areas such as expert systems, data communications, distributed simulation, adaptive control systems, digital signal processing, and integrat- ing technology into engineering education. He has also been an industry consultant on in discrete event modelling for strategic planning. Professor Elizandro received the University Distinguished Faculty Award, Texas A&M, Commerce and College of Engineering Brown-Henderson Award at Tennessee Tech University. He served as Governor’s Representative for Highway Safety in Arkansas and member of the National Highway Safety Advisory Commission during the Jimmy Carter presidency. He is also a member of Tau Beta Pi, Alpha Pi Mu, and Upsilon Pi Epsilon honor
student projects can result in a number of benefits forthe healthcare institutions, students, and faculty members. One of the primary gains forinstitutions is the ability to draw on the skills and knowledge of faculty and students in IndustrialEngineering and Industrial Management to solve real problems. The solutions provided byMercer students have included process maps, time studies, 5S studies, inventory managementsystems, simulations, survey analyses, standardized process recommendations, training plans,staffing and resource allocation plans, and conceptual design of human-machine interfaces. Apartial list of projects and their deliverables can be found in Table 1. Many of these deliverablesalso serve as evidence of continuous process
notstatistically significant to success in the quality control course. However, the student’s priorsemester GPA, incoming cumulative GPA, and performance in the prerequisite course aresignificant to success in the quality control course.Background and MotivationThe quality control course at East Carolina University is a graduation requirement for allstudents majoring in engineering. For the majority of these students it is a terminating course inthe area of statistics within their curriculum plan since it is not a prerequisite for any othercourse. For a small minority, an elective course in lean six sigma is taken that requires qualitycontrol as a prerequisite. The quality control course prerequisite is a calculus-based probabilityand statistics course in
students the intricacies of business practices and the help themunderstand the tradeoffs between different organizational goals in Supply Chain Management.In the Integrated Systems Engineering department, the undergraduate students take rigorouscourses in linear and non-linear programming as well as simulation modeling as part of theiroperations research core classes. In their junior year, they take a class where many of thesemethods can be applied called Production Planning and Facility Layout. It is this course that isthe subject of the research described in this paper.Today’s industrial systems engineering students do not just go into the traditional manufacturingsector, but also delve into many diverse fields such as healthcare, the airline
focus on 32 of the student responses since one ofthe students did not respond to this study’s key questions. All student survey questionswill be referenced by using SQ#, where SQ indicates it is a question from the studentsurvey and # being replaced by the referred question number. SQ2: University of Arkansas Student ID Number SQ4: Gender SQ5: Ethnicity SQ6: Race SQ7: What degree plan are you most interested in? SQ8: Please indicate if you experienced any of the following activities prior to coming to the U of A (check all that apply)? SQ14: What is your perception of current job opportunities for industrial engineering (7 point Likert scale – very bad to very good
ergonomics. Fraser’s 121 credit hour “generic”plan of study, which she feels describes most IE programs, includes two related courses: threecredit hours of “work methods” and three credit hours of “human factors.” Some portion of theseIE programs require only one three-credit-hour course that covers both work methods and humanfactors topics. IE programs may also offer advanced topics in ergonomics that are available aselectives to undergraduate students. There is also a subset of IE undergraduate programs thathave no required courses in these areas; Fraser’s numbers indicate that this is only about 10% ofABET accredited IE programs.Under the premise that ergonomics is an important subject in an undergraduate IE education, theinitial goal of this
, instructors will beable to have a concise and easy implementation plan to improve student satisfaction andmotivation in the classroom, creating a better educational experience for both the students andthe instructor. Once the factors that most significantly influence student motivation andsatisfaction were identified, an implementation model was created and tested. The “Interact,Cultivate, and Deliver” method, also known as the “I-C-D” method, implements the elevensignificant factors found across the three ordinal logistic regression models in a succinct mannerfor instructors. A pilot study of this method was implemented into an IE classroom and it wasfound that when the significant factors were implemented into the classroom, the satisfaction