This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data -- with a primary focus on embodied intelligence and multimodal learning ...
This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...
The objective of this course is to discuss the state-of-the-art in low-power analog and digital system design, with special emphasis on transistor level measures to limit and to control the power dissipation of portable systems. ...
This course deals with the analysis, design, and optimization of CMOS analog circuits, emphasizing low-power solutions required in a broad range of applications (e.g., IoT, wearables, Biosensors ...). Some examples of mixed-signal design are also addressed ...
The course is covering following aspects: MOS Transistor Modeling for Low-Voltage and Low-Power Circuit Design, Noise Performance of Elementary Transistor Stages, Stability of Operational Amplifiers, Important Opamp Configurations and Distortion in Element ...
This course deals with the analyze, design and optimization of CMOS analog circuits, emphasizing low-power solutions required in a broad range of applications (e.g. IoT, wearables, Biosensors ...). Some examples of mixed-signal design are also addressed. ...
This course introduces the analysis and design of linear analog circuits based on operational amplifiers. A Laplace early approach is chosen to treat important concepts such as time and frequency responses, convolution, and filter design. The course is com ...