Optimal design of machinery; analysis for prevention of machine elements failure

The course aim for the students to develop an intuition for the fundamental principles of research methodology and to assist the students to apply these principles in their final project.

The aim of the course is to give the students an intuition of the state of the art mechatronics technologies used in modern industrial and manufacturing systems 

The course aims to broaden the knowledge to a wide range of manufacturing processes, particularly focused on polymeric and metallic materials. It provides elements of the science and technology behind the manufacturing processes. It is designed to equip the students with an understanding of the effect of manufacturing conditions on microstructure and properties of the final products.

Review of discrete-time signal and systems, the Discrete-Time Fourier transform, Sampling of Continuous Time Signals, The Z-Transform, Discrete Fourier Series and Discrete Fourier Transform, The Fast Fourier Transform (FFT), Design of Digital Filters.

Overview of digital wireless systems (e.g. cellular, satellite, source coding of speech and data; modern digital modulation and demodulation (e.g. BPSK, QPSK, QAM, GMSK, OFDM, etc)

Studying the concepts of relationships between structure and thermal, optical, magnetic, electrical, and mechanical properties of engineering materials

This course covers the concept of neural network, Practical example of application of neural network. Also provides the details of Fuzzy system and Neuro-fuzzy modeling and control.

Introduction to mobile communication systems; basic planning of a cellular system, elements of cellular radio design system; propagation characteristics of mobile radio channels; frequency management, channel allocation and hand-off mechanisms; specifications of mobile communication systems in specific examples; wireless networks.