Modern engineering study programme made to fit the needs of industrial enterprises. The programme is based on training and education in the field of industrial engineering and on experience gained during implementation of individual projects in industrial enterprises. Many universities offer courses, in areas such as logistics, supply chain management and analytics. In this study, the importance of courses in industrial engineering undergraduate programs has been researched. Compulsory and optional courses given in industrial engineering have been investigated under the determined criteria. Research, academics working in the industrial engineering department in Turkey, the proper course of materiality is an implementation of the fuzzy logic survey work on assessing the work. The sample order with 32 samples prepared by the academicians responding to the questionnaire was determined with «Fuzzy MOORA» technique as compulsory and optional courses. Studies on course selection were examined, to the best of our knowledge this is the first study using «Fuzzy MOORA» technique to select/rank courses. It is evaluated that MOORA method, which is a new criterion decision method for course choice, will contribute to international literature as «Fuzzy MOORA» approach with fuzzy logic.
Construction sector has an important place in Turkey’s economy. Real estate sales for the sector are increasing in parallel. However, the purchase cost is also important for those who are willing to buy a real estate. In the acquisition of real estate, factors such as size, location and age of the house are taken into consideration. The aim of the article is to conduct research on factors affecting real estate values by data mining. In this study, the most important variables that determine the value of the real estate have been investigated by data mining methods. The research has been carried out in Karabük and the variables determined according to the opinions of real estate experts. As classification methods, CHAID and C&RT algorithms have been used. It has been evaluated that both algorithm estimation results can be used. Within the framework of the study, the variables that have the most impact on the unit price have been determined, such as the size of the real estate, the distance to the city centre, the popularity, and the age of the building. The use of advanced technologies, such as statistical modelling and machine learning in real estate valuation and automatic value estimation, is of importance in determining the real value of the real estate.
Rapid development of technology, particularly in the field of artificial intelligence, has fuelled the concept of Industry 4.0 among all types of businesses across the globe. This has driven sustainable growth for those businesses as well as promoted economic prosperity in the countries where they operate in. In view of this information, it is of absolute importance that the entire business landscape in Turkey avails itself to greater awareness and education about the benefits of embracing a comprehensive Industry 4.0 philosophy. It is also important to shed the light on the problems these businesses may face in transition from the old industrial philosophies to the new philosophy of Industry 4.0. Therefore, the aim of this study is to measure the level of Industry 4.0 awareness among businesses in Turkey. The research also seeks to determine how targeted Industry 4.0 educational programs and policies vary in relation to the demographic characteristics among some business operators in Turkey. A multiple case study design governed this entire research. Thus, views and in-depth data from 32 companies based in Turkey were collected by questionnaire and subsequently analysed in a detailed format. At the end of the study, the findings revealed that Industry 4.0 awareness differed depending on the employees’ levels of education. The researchers also discovered that the status or extent of relationships these companies had with foreign partners abroad has a significant impact on the awareness levels of Industry 4.0.
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