Building of a Telecommunications Engineering Economics Curriculum: A case study from Greece

Author(s):  
Dimitris Varoutas ◽  
Stathes Hadjiefthymiades ◽  
Manolis Athanasiou
Author(s):  
Denard Lynch ◽  
Bradley Schmid

Abstract Evaluation of report-based assignments, especially in larger classes, adds a considerable marking load. Even with detailed rubrics, subjectivity may lead to grading variations and inaccuracies. Evaluation of others’ work can also be a very informative and educational experience, improving their skill through exposure to a broader performance range. Involving students in peer evaluation can potentially address both of these issues by reducing marking load, providing alternate (and increased number of) assessments, and by exposing students to a broader spectrum of report skills thus enhancing their own knowledge. This paper discusses the results of an experiment in peer assessment and whether it can be exploited to reduce marking effort, improve accuracy for report assignment evaluation and improve student skill. The data was gathered from assignments in two different engineering classes: a second year course on safety and environmental stewardship, and a senior course on engineering economics. For the second-year course, an individual essay assignment was marked by the instructor and two peers.  The three evaluations were analyzed to assess the accuracy and assign a grade. For the senior course, a group report on a case study was self and peer evaluated.  These evaluations were used to derive a grade for the report directly if the self and peer results were within a prescribed tolerance; other cases were resolved by instructor intervention. The results were analyzed considering the number of outliers, range of scores, and the number of cases which had to be resolved by theinstructor. Parameters considered in assessing the results of the experiment included: the correlation between assessments, the learning opportunities for students, and instructor marking effort required. (preliminary analysis) Results suggest positive gains in reducing effort.  Improved accuracy and enhanced student learning are also expected.  


2007 ◽  
Vol 52 (3) ◽  
pp. 285-303 ◽  
Author(s):  
Erick C. Jones ◽  
Michael W. Riley ◽  
Rodrigo Franca ◽  
Sheana Reigle

2014 ◽  
Author(s):  
Bidhan C. Roy ◽  
Matthew Roberts ◽  
Cathy Riedl-Farrey ◽  
Gregory R. Bies

2020 ◽  
Author(s):  
Syed Azmat ◽  
Snehamay Khasnabis ◽  
Richard Darin Ellis ◽  
Pratap Srinivasa Murthy ◽  
Frank Plonka ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Ki-Young Song ◽  
Janusz Kozinski ◽  
Gerald T. G. Seniuk ◽  
Madan M. Gupta

Many qualitative group decisions in professional fields such as law, engineering, economics, psychology, and medicine that appear to be crisp and certain are in reality shrouded in fuzziness as a result of uncertain environments and the nature of human cognition within which the group decisions are made. In this paper we introduce an innovative approach to group decision making in uncertain situations by using a mean-variance neural approach. The key idea of this proposed approach is to compute the excluded mean of individual evaluations and weight it by applying a variance influence function (VIF); this process of weighting the excluded mean by VIF provides an improved result in the group decision making. In this paper, a case study with the proposed excluded-mean-variance approach is also presented. The results of this case study indicate that this proposed approach can improve the effectiveness of qualitative decision making by providing the decision maker with a new cognitive tool to assist in the reasoning process.


2021 ◽  
Vol 13 (9) ◽  
pp. 4832
Author(s):  
Asghar Hakimi ◽  
Zahra Abedi ◽  
Fatemeh Dadashian

It is often difficult to extract data on material and energy wastes and related costs in the value chain of manufacturing products. Many organizations are not fully aware of the actual costs of material and energy wastes. For this purpose, advanced costing methods should be used. For this case study, we used material and energy flow cost accounting (MEFCA) to determine material costs, losses, and waste management in the manufacturing of turbine blades at the Iran Power Plant Company. Using the extracted data, the manufacturing costs of turbine blades were studied. The conventional method of turbine blades production is the machining method, which produces a significant amount of material and energy waste. By studying different methods, we found that there is an alternative method called forging, which reduces losses and costs. Finally, the costs of the two methods were compared. Engineering economics techniques were also used to compare the two methods on a long-term planning horizon.


2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.


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