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This paper highlights a fiber optic training program developed according to the occupational competencies using real and simulation platforms to train young people aged between 15 and 24. The most important objective is to overcome the shortages of fiber optic employees by providing training qualifications accredited by the Fiber Optic Association. This training program was designed on three levels, and participants were tested at the end of each level. Successful participants continued with a higher level of training. Theoretical knowledge was given to the participants at the first two levels and extensive practical applications were done. At the third level, computer networks trainings were provided to identify the much more fiber optic network modules by using simulation software tool. The training program includes installation of DVB‐X (Digital Video Broadcast – satellite, cable) and the FFT‐X (fiber‐to‐the – home, building, curb) devices that have a fiber optic cable infrastructure, and point‐to‐point line measurements. This training program differs from similar programs due to the inclusion of effective real laboratory, simulation platform, and field practices. It is significantly found that this training program supported by more extensive real experiments and simulations besides of theoretical education increases the technical qualifications and satisfaction ratio of the participants.

The globalizing world, the rapid increase in industrialization and urbanization rates have increased the world’s need for energy day by day, making energy one of the most important agenda items of the world. Increasing demand has led the countries to ensure supply-demand balance to become one of the basic energy policies. One of these prominent energy policies is to ensure diversity in supply and to turn towards renewable resources that are not dependent on exhausted fossil fuels. One of these renewable sources is photovoltaic (solar cell) energy generation systems that generate electrical energy from solar energy. Solar energy is a good alternative to fossil fuels as it has an environmentally clean source feature. In this study, the performance evaluations of power plants were made by comparing the simulation results with data obtained from established fields in three different geographical regions of Turkey. In addition, regional production efficiency was analyzed by comparing the production values of the plants among themselves. An interface program that analyses instant power plant values was designed and a practical evaluation software was created.

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In this study, an artificial neural networks model was established by using experimental measurement values at low speed subsonic wind tunnel of which length was 75 cm and experiment test section was 32 cm × 32 cm, and model results were compared with experimental values and then, the prediction was made for the unmeasured tunnel stream values. In the wind tunnel, when the jet velocity was 25 m/s, four tunnel velocities, 0, 5, 10, and 20 m/s were used. At the four measurement stations; x/D = 0.3, x/D = 12.5, x/D = 31.2, and x/D = 50, experimental measurements were made by using hot wire anemometer. Plain circular jet flows at x/D = 0.3 and x/D = 50 stations with average tunnel flow velocities of 7.5 m/s and 15 m/s were studied by using artificial neural networks. The data was obtained and evaluated by graphics.