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Articles 1 - 30 of 3302

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Achieving Consistency With Cutting Planes, Danial Davarnia, Atefeh Rajabalizadeh, John Hooker Jan 2020

Achieving Consistency With Cutting Planes, Danial Davarnia, Atefeh Rajabalizadeh, John Hooker

Industrial and Manufacturing Systems Engineering Publications

Cutting planes accelerate branch-and-bound search primarily by cutting off fractional solutions of the linearprogramming (LP) relaxation, resulting in tighter bounds for pruning the search tree. Yet cutting planes canalso reduce backtracking by excluding inconsistent partial assignments that occur in the course of branching.A partial assignment is inconsistent with a constraint set when it cannot be extended to a full feasibleassignment. The constraint programming community has studied consistency extensively and used it as aneffective tool for the reduction of backtracking. We extend this approach to integer programming (IP) bydefining concepts of consistency that are useful in a branch-and-bound context. We ...


Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle, Travis E. Mcwhirter, Torrey J. Wagner, John E. Stubbs, Denise M. Rizzo, Jada B. Williams Dec 2019

Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle, Travis E. Mcwhirter, Torrey J. Wagner, John E. Stubbs, Denise M. Rizzo, Jada B. Williams

Faculty Publications

A hybrid electric tracked ground vehicle (HETGV) can reduce military fuel usage, however a review of current tools determined they are not suitable to estimate HEGTV performance. Based on topographic data and vehicle attributes, this research developed an estimation tool by creating a model to determine tracked vehicle energy and fuel requirements, and using these requirements, created a HEGTV cost and performance optimisation for the Bradley fighting vehicle energy system. The optimised design reduced fuel consumption by 15%, and met the vehicle's peak power requirement of 365 kW, with a recommended configuration of a 135 kW generator and 100 ...


Extended Version Of Simple Sagittal Running: Stability Of A Quadrupedal Bound, Jeff Duperret, D. E. Koditschek Dec 2019

Extended Version Of Simple Sagittal Running: Stability Of A Quadrupedal Bound, Jeff Duperret, D. E. Koditschek

Technical Reports (ESE)

This paper develops a three degree-of-freedom sagittal-plane hybrid dynamical systems model of a bounding quadruped. Simple within-stance controls yield a closed form expression for a family of hybrid limit cycles that represent bounding behavior over a range of user-selected fore-aft speeds as a function of the model's kinematic and dynamical parameters. Controls acting on the hybrid transitions are structured so as to achieve a cascade composition of in-place bounding driving the fore-aft degree of freedom thereby decoupling the linearized dynamics of an approximation to the stride map. Careful selection of the feedback channels used to implement these controls affords ...


Hedge Fund Replication Using Strategy Specific Factors, Sujit Subhash, David Lee Enke Dec 2019

Hedge Fund Replication Using Strategy Specific Factors, Sujit Subhash, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Hedge funds have traditionally served wealthy individuals and institutional investors with the promise of delivering protection of capital and uncorrelated positive returns irrespective of market direction, allowing them to better manage portfolio risk. However, the financial crisis of 2008 has heightened investor sensitivity to the high fees, illiquidity, lack of transparency, and lockup periods typically associated with hedge funds. Hedge fund replication products, or clones, seek to answer these challenges by providing daily liquidity, transparency, and immediate exposure to a desired hedge fund strategy. Nonetheless, although lowering cost and adding simplicity by using a common set of factors, traditional replication ...


Better Beware: Comparing Metacognition For Phishing And Legitimate Emails, Casey I. Canfield, Baruch Fischhoff, Alex Davis Dec 2019

Better Beware: Comparing Metacognition For Phishing And Legitimate Emails, Casey I. Canfield, Baruch Fischhoff, Alex Davis

Engineering Management and Systems Engineering Faculty Research & Creative Works

Every electronic message poses some threat of being a phishing attack. If recipients underestimate that threat, they expose themselves, and those connected to them, to identity theft, ransom, malware, or worse. If recipients overestimate that threat, then they incur needless costs, perhaps reducing their willingness and ability to respond over time. In two experiments, we examined the appropriateness of individuals' confidence in their judgments of whether email messages were legitimate or phishing, using calibration and resolution as metacognition metrics. Both experiments found that participants had reasonable calibration but poor resolution, reflecting a weak correlation between their confidence and knowledge. These ...


A Governance Perspective For System-Of-Systems, Polinpapilinho F. Katina, Charles B. Keating, James A. Bobo, Tyrone S. Toland Dec 2019

A Governance Perspective For System-Of-Systems, Polinpapilinho F. Katina, Charles B. Keating, James A. Bobo, Tyrone S. Toland

Engineering Management & Systems Engineering Faculty Publications

The operating landscape of 21st century systems is characteristically ambiguous, emergent, and uncertain. These characteristics affect the capacity and performance of engineered systems/enterprises. In response, there are increasing calls for multidisciplinary approaches capable of confronting increasingly ambiguous, emergent, and uncertain systems. System of Systems Engineering (SoSE) is an example of such an approach. A key aspect of SoSE is the coordination and the integration of systems to enable ‘system-of-systems’ capabilities greater than the sum of the capabilities of the constituent systems. However, there is a lack of qualitative studies exploring how coordination and integration are achieved. The objective of ...


Predicting The Daily Return Direction Of The Stock Market Using Hybrid Machine Learning Algorithms, X. Zhong, David Lee Enke Dec 2019

Predicting The Daily Return Direction Of The Stock Market Using Hybrid Machine Learning Algorithms, X. Zhong, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields, including stock market investment. However, few studies have focused on forecasting daily stock market returns, especially when using powerful machine learning techniques, such as deep neural networks (DNNs), to perform the analyses. DNNs employ various deep learning algorithms based on the combination of network structure, activation function, and model parameters, with their performance depending on the format of the data representation. This paper presents a comprehensive big data analytics process to predict the daily return direction of the SPDR S&P ...


Correction To: Better Beware: Comparing Metacognition For Phishing And Legitimate Emails (Metacognition And Learning, (2019), 14, 3, (343-362), 10.1007/S11409-019-09197-5), Casey I. Canfield, Baruch Fischhoff, Alex Davis Dec 2019

Correction To: Better Beware: Comparing Metacognition For Phishing And Legitimate Emails (Metacognition And Learning, (2019), 14, 3, (343-362), 10.1007/S11409-019-09197-5), Casey I. Canfield, Baruch Fischhoff, Alex Davis

Engineering Management and Systems Engineering Faculty Research & Creative Works

The article "Better beware: comparing metacognition for phishing and legitimate emails", written by Casey Inez Canfield, Baruch Fischhoff and Alex Davis, was originally published electronically on the publisher's internet portal (currently SpringerLink) on 20 July 2019 without open access.


Conditional Survival Analysis For Concrete Bridge Decks, Azam Nabizadeh, Habib Tabatabai, Mohammad A. Tabatabai Nov 2019

Conditional Survival Analysis For Concrete Bridge Decks, Azam Nabizadeh, Habib Tabatabai, Mohammad A. Tabatabai

Civil and Environmental Engineering Faculty Articles

Bridge decks are a significant factor in the deterioration of bridges, and substantially affect long-term bridge maintenance decisions. In this study, conditional survival (reliability) analysis techniques are applied to bridge decks to evaluate the age at the end of service life using the National Bridge Inventory records. As bridge decks age, the probability of survival and the expected service life would change. The additional knowledge gained from the fact that a bridge deck has already survived a specific number of years alters (increases) the original probability of survival at subsequent years based on the conditional probability theory. The conditional expected ...


The Business Case For Industrial Safety: Revealing The Comprehensive Value Of Ergonomic Investments For Manufacturing Enterprises In Industry 4.0, Shane Stan Oct 2019

The Business Case For Industrial Safety: Revealing The Comprehensive Value Of Ergonomic Investments For Manufacturing Enterprises In Industry 4.0, Shane Stan

Honors Theses, University of Nebraska-Lincoln

How can today’s manufacturing enterprises construct, implement, and optimize modern safety initiatives in a manner that will present maximum return on investment and facilitate enterprise growth? Furthermore, how can these manufacturers assure individual ergonomic investments become part of a larger strategy to facilitate organizational change in safety? This work addresses these questions by placing industrial ergonomics in a business improvement context which comprehensively presents the financial returns and growth opportunities poised by modern safety initiatives. Additionally, to further strengthen the business case for industrial safety, an ergonomic action planning framework is established to guide the creation of holistic safety ...


The Impact Of Executing A Warehouse Management System Change: A Case Study, Nicholas J. Cross Oct 2019

The Impact Of Executing A Warehouse Management System Change: A Case Study, Nicholas J. Cross

Masters Theses & Specialist Projects

The increased demand on distribution centers to provide quicker turnarounds from receiving to shipping while maintaining precise inventory accuracies is spurring the acquisition of a warehouse management system (WMS) to improve operations and increase efficiency. With the rapid expansion of WMS technology, it seems inevitable that warehouses will outgrow inefficient operational processes and switch to a system that can accommodate rapid development. Research has explained the financial burdens and benefits of acquiring a WMS, but there’s been minimal research describing the impacts of the actual implementation. This study took place within a 600,000 sq. ft. fulfillment center and ...


Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek Sep 2019

Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

Abstract. We document the reliably repeatable dynamical mounting and dismounting of wheeled stools and carts, and of fixed ledges, by the Minitaur robot. Because these tasks span a range of length scales that preclude quasi-static execution, we use a hybrid dynamical systems framework to variously compose and thereby systematically reuse a small lexicon of templates (low degree of freedom behavioral primitives). The resulting behaviors comprise the key competences beyond mere locomotion required for robust implementation on a legged mobile manipulator of a simple version of the warehouseman’s problem.


An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick Aug 2019

An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick

Engineering Management, Information, and Systems Research

Solving an instance of the Backhaul Profit Maximization Problem (BPMP) requires simultaneously solving two problems: (1) determining how to route an empty delivery vehicle back from its current location to its depot by a scheduled arrival time, and (2) selecting a profit-maximizing subset of delivery requests between various locations on the route subject to the vehicle's capacity. We propose and test a series of enhancements to the node-arc and triples mixed integer programming formulations of BPMP found in the literature and develop a multi-criteria Composite Index Method (CIM) to evaluate the results. We find that CPLEX takes 5 to ...


Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan Aug 2019

Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan

Industrial Design Conference Presentations, Posters and Proceedings

Design Thinking has become increasingly popular across different disciplines. However, what it exactly entails is becoming more and more vague, leading to the term being used for many different approaches and applications. This paper presents an interview study with experts on the application and training of Design Thinking in academia and industry. We find a divide with some seeing Design Thinking as a mere toolbox of methods, while others see it as an umbrella term for the mindset that determines how designers think and act. Subjects unanimously attest the approach large potential to support certain types of businesses, when applied ...


Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher Aug 2019

Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Agricultural and Biosystems Engineering Publications

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines ...


Decision Making For Improving Maritime Traffic Safety Using Constraint Programming, Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau Aug 2019

Decision Making For Improving Maritime Traffic Safety Using Constraint Programming, Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Information Systems

Maritime navigational safety is of utmost importance to prevent vessel collisions in heavily trafficked ports, and avoid environmental costs. In case of a likely near miss among vessels, port traffic controllers provide assistance for safely navigating the waters, often at very short lead times. A better strategy is to avoid such situations from even happening. To achieve this, we a) formalize the decision model for traffic hotspot mitigation including realistic maritime navigational features and constraints through consultations with domain experts; and b) develop a constraint programming based scheduling approach to mitigate hotspots. We model the problem as a variant of ...


Data-Driven Surgical Duration Prediction Model For Surgery Scheduling: A Case-Study For A Practice-Feasible Model In A Public Hospital, Kar Way Tan, Francis Ngoc Hoang Long Nguyen, Boon Yew Ang, Jerald Gan, Song Kai Sean Lam Aug 2019

Data-Driven Surgical Duration Prediction Model For Surgery Scheduling: A Case-Study For A Practice-Feasible Model In A Public Hospital, Kar Way Tan, Francis Ngoc Hoang Long Nguyen, Boon Yew Ang, Jerald Gan, Song Kai Sean Lam

Research Collection School Of Information Systems

Hospitals have been trying to improve the utilization of operating rooms as it affects patient satisfaction, surgery throughput, revenues and costs. Surgical prediction model which uses post-surgery data often requires high-dimensional data and contains key predictors such as surgical team factors which may not be available during the surgical listing process. Our study considers a two-step data-mining model which provides a practical, feasible and parsimonious surgical duration prediction. Our model first leverages on domain knowledge to provide estimate of the first surgeon rank (a key predicting attribute) which is unavailable during the listing process, then uses this predicted attribute and ...


Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization Under Uncertainty, Jonathan David Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau Aug 2019

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization Under Uncertainty, Jonathan David Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau

Research Collection School Of Information Systems

Urban law enforcement agencies are under great pressure to respond to emergency incidents effectively while operating within restricted budgets. Minutes saved on emergency response times can save lives and catch criminals, and a responsive police force can deter crime and bring peace of mind to citizens. To efficiently minimize the response times of a law enforcement agency operating in a dense urban environment with limited manpower, we consider in this paper the problem of optimizing the spatial and temporal deployment of law enforcement agents to predefined patrol regions in a real-world scenario informed by machine learning. To this end, we ...


Mid To Late Season Weed Detection In Soybean Production Fields Using Unmanned Aerial Vehicle And Machine Learning, Arun Narenthiran Veeranampalayam Sivakumar Jul 2019

Mid To Late Season Weed Detection In Soybean Production Fields Using Unmanned Aerial Vehicle And Machine Learning, Arun Narenthiran Veeranampalayam Sivakumar

Biological Systems Engineering--Dissertations, Theses, and Student Research

Mid-late season weeds are those that escape the early season herbicide applications and those that emerge late in the season. They might not affect the crop yield, but if uncontrolled, will produce a large number of seeds causing problems in the subsequent years. In this study, high-resolution aerial imagery of mid-season weeds in soybean fields was captured using an unmanned aerial vehicle (UAV) and the performance of two different automated weed detection approaches – patch-based classification and object detection was studied for site-specific weed management. For the patch-based classification approach, several conventional machine learning models on Haralick texture features were compared ...


Seven Hci Grand Challenges, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Jessie Chen, Jianming Dong, Vincent Duffy, Xiaowen Fang, Cali Fidopiastis, Gino Fragomeni, Limin Fu, Yinni Guo, Don Harris, Andri Ioannou, Kyeong-Ah (Kate) Jeong, Shin'ichi Konomi, Heidi Kromker, Masaaki Kurosu, James Lewis, Aaron Marcus, Gabriele Meiselwitz, Abbas Moallem, Hirohiko Mori, Fiona Fui-Hoon Nah, Stavroula Ntoa, Pei-Luen Rau, Dylan Schmorrow, Keng Siau, Norbert Streitz, Wentao Wang, Sakae Yamamoto, Panayiotis Zaphiris, Jia Zhou Jul 2019

Seven Hci Grand Challenges, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Jessie Chen, Jianming Dong, Vincent Duffy, Xiaowen Fang, Cali Fidopiastis, Gino Fragomeni, Limin Fu, Yinni Guo, Don Harris, Andri Ioannou, Kyeong-Ah (Kate) Jeong, Shin'ichi Konomi, Heidi Kromker, Masaaki Kurosu, James Lewis, Aaron Marcus, Gabriele Meiselwitz, Abbas Moallem, Hirohiko Mori, Fiona Fui-Hoon Nah, Stavroula Ntoa, Pei-Luen Rau, Dylan Schmorrow, Keng Siau, Norbert Streitz, Wentao Wang, Sakae Yamamoto, Panayiotis Zaphiris, Jia Zhou

Faculty Publications

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security ...


Economic Model Predictive Control And Process Equipment: Control-Induced Thermal Stress In A Pipe, Helen Durand Jul 2019

Economic Model Predictive Control And Process Equipment: Control-Induced Thermal Stress In A Pipe, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Recent work on economic model predictive control (EMPC) has indicated that some processes may be operated in a more economically-optimal fashion under a time-varying operating policy than under a steady-state operating policy. However, a concern for time-varying operation is how such a change in operating policy might impact the equipment within which the processes being controlled are carried out. While under steady-state operation, the operating conditions to which equipment would regularly be exposed can be estimated, this would be more difficult to assess thoroughly a priori under time-varying operation. It could be explored whether the EMPC could be made aware ...


Maquiladoras In Central America: An Analysis Of Workforce Schedule, Productivity And Fatigue., Jose L. Barahona Jul 2019

Maquiladoras In Central America: An Analysis Of Workforce Schedule, Productivity And Fatigue., Jose L. Barahona

Masters Theses & Specialist Projects

Textile factories or Maquiladoras are very abundant and predominant in Central American economies. However, they all do not have the same standardized work schedule or routines. Most of the Maquiladoras only follow schedules and regulations established by the current labor laws without taking into consideration many variables within their organization that could affect their overall performance. As a result, the purpose of the study is to analyze the current working structure of a textile Maquiladora and determine the most suitable schedule that will abide with the current working structure but also increase production levels, employee morale and decrease employee fatigue ...


Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich Jun 2019

Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

Objective: The goal of this work is to determine whether muscular fatigue concurrently reduces cognitive attentional resources in technical tasks for healthy adults.

Background: Muscular fatigue is common in the workplace but often dissociated with cognitive performance. A corpus of literature demonstrates a link between muscular fatigue and cognitive function, but few investigations demonstrate that the instigation of the former degrades the latter in a way that may affect technical task completion. For example, laparoscopic surgery increases muscular fatigue, which may risk attentional capacity reduction and undermine surgical outcomes.

Method: A total of 26 healthy participants completed a dual-task cognitive ...


An Exploratory Study Of Engineering Students’ Misconceptions About Technical Communication, Cheryl Q. Li, Judy Randi, Jenna Sheffield Jun 2019

An Exploratory Study Of Engineering Students’ Misconceptions About Technical Communication, Cheryl Q. Li, Judy Randi, Jenna Sheffield

Engineering and Applied Science Education Faculty Publications

This paper reports results of a mixed methods study that examined engineering students’ acquisition of technical communication skills over time. In particular, this exploratory study aimed to identify persistent errors, lingering misconceptions, and challenges engineering students faced when they attempted to apply their knowledge and skills in new contexts. The 12 participants were drawn from engineering courses in which students were required to compose technical memoranda in response to requests for information from supervisors or clients. This integrated approach addresses content and communication in the same course. The study included a longitudinal analysis of four technical memoranda written across two ...


Eml Indices To Assess Student Learning Through Integrated E-Learning Modules, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Cheryl Q. Li, Aadityasinh Rana Jun 2019

Eml Indices To Assess Student Learning Through Integrated E-Learning Modules, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Cheryl Q. Li, Aadityasinh Rana

Engineering and Applied Science Education Faculty Publications

The University of New Haven has facilitated the development and integration of e-learning modules on entrepreneurial topics into regular engineering and computer science courses. In addition to faculty at the University of New Haven, over three years 77 faculty at 53 other universities in the US have also integrated these modules into their courses. Starting in fall 2017, rubrics were developed so that student work related to topics covered in the modules could be assessed directly by instructors. Topics covered by each module were also mapped to learning outcomes published in the KEEN Framework [1]. An Entrepreneurial Minded Learning (EML ...


Assessing The Growth In Entrepreneurial Mind-Set Acquired Through Curricular And Extra-Curricular Components, Cheryl Q. Li, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Jean Nocito-Gobel Jun 2019

Assessing The Growth In Entrepreneurial Mind-Set Acquired Through Curricular And Extra-Curricular Components, Cheryl Q. Li, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Jean Nocito-Gobel

Engineering and Applied Science Education Faculty Publications

In an effort to develop an entrepreneurial mindset in our engineering students, the University of New Haven has adopted both curricular and extra-curricular approaches. The curricular components include: 1. Several e-Learning modules covering specific entrepreneurial concepts integrated into the regular engineering and computer science curricula. Available online, each module contains readings, short videos, and self-assessment exercises. Students complete these self-paced modules outside of the classroom over a two-week period. Instructors normally engage students on the content of the module through online or in-class discussions and in-class contextual activities. 2. An elective course on business principles and entrepreneurship that incorporates four ...


”Cyberworld” As A Theme For A University-Wide First-Year Common Course, Kristen Przyborski, Frank Breitinger, Lauren Beck, Ronald S. Harichandran Jun 2019

”Cyberworld” As A Theme For A University-Wide First-Year Common Course, Kristen Przyborski, Frank Breitinger, Lauren Beck, Ronald S. Harichandran

Engineering and Applied Science Education Faculty Publications

Nowadays we all live in a cyber world and use the internet for emailing, banking, streaming video, shopping, reading news, or other activities. Given all the time people spend online, it is important that all students (regardless of their major) learn some basics about living in a cyber world, e.g., strategies for online safety, impact of artificial intelligence, digital forensics or ancestry.com. To facilitate students from many majors to learn about important issues related to the internet, eight faculty from a variety of disciplines at the University of New Haven integrated the theme of Cyber World into our ...


Assessing An Online Engineering Ethics Module From Experiential Learning Perspective, Gokhan Egilmez, Philip Viscomi, Maria-Isabel Carnasciali Jun 2019

Assessing An Online Engineering Ethics Module From Experiential Learning Perspective, Gokhan Egilmez, Philip Viscomi, Maria-Isabel Carnasciali

Engineering and Applied Science Education Faculty Publications

Today, engineers play a crucial role in the direction of technology, research, social wellbeing, and economic growth, thus the lives of people. An engineer’s professional responsibility for complying with ethical standards and conduct is essential to the needs and requirements of individuals, organizations, and the society. Educating the future engineering workforce and establishing effective and timely policies that ensure engineering professional’s compliance with requirements are two important pillars of sustaining the ethical knowledge and practice in engineering profession. In this study, the researchers focused on investigating the learning effectiveness of an online ethics module developed for and implemented ...


Motivating Students For Learning Using Scaffolding And A Variety Of Assignments, Nadiye O. Erdil Jun 2019

Motivating Students For Learning Using Scaffolding And A Variety Of Assignments, Nadiye O. Erdil

Engineering and Applied Science Education Faculty Publications

This paper discusses the impacts of various course assignments and activities that were used to increase student motivation and learning. The courses selected for the study are Quality Analysis and Design of Experiments courses, which are offered as required courses in the industrial engineering graduate program at the University of New Haven. The assignments and activities include term project, term paper, homework, in-class exercises, quizzes, exams, library training and factory visit. In an earlier pilot study in the Quality Analysis course, scaffolding -an instructional strategy that enables students to build on prior experience and knowledge as they work towards mastering ...