With technological advances that allow us to integrate complete multi-processor systems on a single die, Systems-on-Chip (SoCs) are at the core of most embedded computing and consumer devices, such as cell phones, media players and automotive, aerospace or medical electronics. This course will provide an understanding of the concepts, issues, and process of designing highly integrated SoCs following systematic hardware/software co-design & co-verification principles, especially about the low-power design techniques and methodologies for the lightweighted realization of the long-term operative embedded systems.

With technological advances that allow us to integrate complete multi-processor systems on a single die, Systems-on-Chip (SoCs) are at the core of most embedded computing and consumer devices, such as cell phones, media players and automotive, aerospace or medical electronics. This course will provide an understanding of the concepts, issues, and process of designing highly integrated SoCs following systematic hardware/software co-design & co-verification principles, especially about the low-power design techniques and methodologies for the lightweighted realization of the long-term operative embedded systems.

Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and non-recursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

All things around us will be programmable with Embedded Software. C Programming Language is widely used to program the hardware-intensive embedded systems in electronics engineering field. The main objective of this course is to learn to program software in C programming language, especially in electrical and electronics engineering field. The practical problem solving methods are covered through the entire course.

Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and non-recursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.

Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and non-recursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.