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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
CSimilar or integrative activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2018/2019
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - CO (482) Computer Science and Engineering
Track T2B - Ambient Intelligence and Data Engineering
Programme Year 2

Course Details
ID Code 099334
Course Title ADVANCED ELECTRONICS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description Solid state electron devices for electronics: BJT, JFET, MOSFET, MESFET and HEMT transistors: static and dynamic characteristics and parameters. Noise in electron devices and circuits: Physical origin of electronic noise, noise power spectral density, r.m.s. values, Signal/Noise ratio, thermal, shot and 1/f noises. Noise characteristics and modeling of Resistors, Diodes, BJT, JFET, MOSFET;MESFET, HEMT. Noise in Operational Amplifier. Noise analysis of multi-stage amplifiers. Electronic circuits for analog signal processing: Differential and instrumentation amplifiers, design of low-noise preamplifiers, design of wide-bandwidth amplifiers, design of active filters. Distortion and noise analysis and measurement. Application Specific Integrated Circuits. Semiconductor sensors: mechanical, magnetic, radiation, thermal and chemical sensors. Acoustic sensors and microphones: sensitivity, directionality, frequency response, dynamic range, noise, impedance; MEMS technology. Front-end electronics for sensor readout. Sampling and A/D - D/A conversion: Sample & Holds, Advanced ADC's and DAC's for signal conversion. Experimental Laboratory: experimental analysis of a multi-stage signal processing electronics
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
C
ING-INF/01
ELECTRONIC ENGINEERING
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZBertuccio Giuseppe
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
11/07/2020