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This paper shows the methodology used for analyzing the technical and non-technical skills necessary for defining a university program providing a Data Science certification. The original aspects of the approach consists of the close collaboration between the organizing universities and the collaborating companies. For what concerns the technical skills, the statistics collected by the already existing...
About a decade ago, when online learning was introduced to most public universities in Slovakia, focus was heavily on technology, rather then methodology. Up to this day, many public universities provide their teachers and students with access to a Learning Management System, occasionally some technical training, but that is where the efforts ended. About three years ago, Comenius University started...
PT. XYZ is a company in the field of international aviation industry engaged in the business of Maintenance Repair Overhaul (MRO) of aircraft. The company has a special unit involved in addressing the maintenance cabins called cabin maintenance unit. This unit has a defect record which shows the most commonly defects are found in Boeing 737-800 cabin. Thus, this research is focused on improving the...
In the past decade there has been lot of discussion on how synergy could be brought between the industry expectations and the competencies possessed by the students. One of the approaches being followed by majority of the institutions is to get project ideas and inputs from the industries and industry partners for various projects as a part of the curriculum intervention. These interventions could...
This paper covers design, implementation and evaluation of a system that may be used to predict future stock prices basing on analysis of data from social media services. The authors took advantage of large datasets available from Twitter micro blogging platform and widely available stock market records. Data was collected during three months and processed for further analysis. Machine learning was...
Key priorities for the universities interaction and cooperation in the framework of the Tempus project are considered. The student outsourcing as a form of cooperation with universities is a crucial one for the joint inter-university research projects, development of solutions for the industry in Ukraine, better use of existing universities' and enterprises' resources
[Context]: The numerous challenges that can hinder software companies from gathering their own data have motivated over the past 15 years research on the use of cross-company (CC) datasets for software effort prediction. Part of this research focused on Web effort prediction, given the large increase worldwide in the development of Web applications. Some of these studies indicate that it may be possible...
The electrical and electronics engineering technology (EEET) associate degree program at Hafr Al-Batin Community College (HBCC) located in the Kingdom of Saudi Arabia (KSA) got accredited recently by the engineering technology accreditation commission (ETAC) of ABET. In this paper, we have described in detail our experiences of using the faculty course assessment report (FCAR) methodology for the...
Text actionability detection is the problem of classifying user authored natural language text, according to whether it can be acted upon by a responding agent. In this paper, we propose a supervised learning framework for domain-aware, large-scale actionability classification of social media messages. We derive lexicons, perform an in-depth analysis for over 25 text based features, and explore strategies...
This paper presents a case study that explores the impact of a re-engineering project on a Small to Medium Enterprise in the United Kingdom as a means of delivering improved employee performance. In this paper, the link between the actions undertaken my teams of co-workers and the relationship with the environment provided by IT systems is considered. As an organization evolves over an extended period...
This paper provides a new perspective on the default prediction problem using deep learning algorithms. Via the advantages of deep learning, the representable factors of input data will no longer need to be explicitly extracted, but can be implicitly learned by the deep learning algorithms. We consider the stock returns of both default and solvent companies as input signals and adopt one of the deep...
The widespread use of social media and the internet are emerging trends that offer an additional interaction channel for companies to better understand customer sentiments about their brands and products. Sentiment analysis uses text data from social media such as customer comments and reviews, which has the nature of high dimensionality. Without selection, typically there are at least thousands of...
Due to globalisation, present challenges of process industries include increasing their competitiveness. One way to address these defies is by investing in the training of plant operators. Traditionally, operator training was done informally through on-the-job techniques and has been improved trough time. Simulators were included as a part of training and have proved to be efficient and effective...
Analysis of safety inventory decision is of great significance to effectively reduce the inventory cost and fund occupancy rate, and to ensure timely material supply of power grid, while analysis of safety inventory decision of power companies is based on material consumption forecasting data. As the industry particularity of power company material consumption, the existing problems of data are not...
Social media mining from Internet has been an emerging research topic. The problem is challenging because of massive data contents from various sources, especially image data from user upload. In recent years, dictionary learning based image classification has been widely studied and gained significant success. In this paper, we propose a framework for automatic detection of interested uniforms in...
Students, companies, and the society in general claim for new engineering education. Active learning, critical thinking and design thinking are elements of this new education that provides for effective results in the learning process. UTEC-Universidad de Ingeniería y Tecnología, provides “Experiential Training in Engineering” program, where students focus on engineering projects from the beginning...
In the changing development industry, training for the project team members is necessary to maintain with the most up-to-date tools and techniques. The software development organizations that provide appropriate training to their employees can expect e a higher quality from their development. In global software development as project members are scattered geographically, the training for the employees...
Massive Open Online Courses (MOOCs) are a relatively new type of online courses characterized by their ability to reach massive amounts of learners. Open Educational Resources (OERs) are freely available, openly licensed materials that are useful for teaching, learning, and research. In the last years, both MOOCs and OERs have steadily increased its presence in online learning, especially in higher...
Innovation on the base of technologies in the operation management function is key for the competitiveness of the SMEs. This paper analyzes the learnt lessons related to the implementation of an “Operation Management System” (OMS) in a group of eight Spanish SMEs and provides guides to make it more efficient. We applied Lean Manufacturing techniques in the pre-implementation phase. Then, we reflect...
Data Mining is an analytical process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The overall goal of data mining is to extract information from a dataset and transform it into useful structure for further use. This can help in building new systems...
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