Students may refer to the reference materials provided during the course.
Argomenti del programma: 0. Module 0: Introduction to NVH - Definition and importance of NVH in engineering. - Overview of NVH phenomena: noise, vibration, and harshness. - Applications of NVH analysis in various industries (e.g., automotive, aerospace, consumer electronics). 1. Module 1: Basic Acoustic measurements in NVH - Topic 1.1: Acoustic quantities and sound propagation.
Students may refer to the reference materials provided during the course.
Argomenti del programma: 0. Module 0: Introduction to NVH - Definition and importance of NVH in engineering. - Overview of NVH phenomena: noise, vibration, and harshness. - Applications of NVH analysis in various industries (e.g., automotive, aerospace, consumer electronics). 1. Module 1: Basic Acoustic measurements in NVH - Topic 1.1: Acoustic quantities and sound propagation.
Students may refer to the reference materials provided during the course.
Argomenti del programma: The course content is delivered through lectures, interactive discussions of case studies, and lab activities. The course covers the following topics divided into modules as described below: DATA ANALYSIS Module (DAM) DAM1: Introductory concepts Topic 1.1: Classification of signals and their features: stationary and non-stationary signals, random and deterministic signals Topic 1.2: Basics of signal acquisition.
Students may refer to the reference materials provided during the course.
Argomenti del programma: The course content is delivered through lectures, interactive discussions of case studies, and lab activities. The course covers the following topics divided into modules as described below: DATA ANALYSIS Module (DAM) DAM1: Introductory concepts Topic 1.1: Classification of signals and their features: stationary and non-stationary signals, random and deterministic signals Topic 1.2: Basics of signal acquisition.
Students may refer to the reference materials provided during the course.
Argomenti del programma: The course content is delivered through lectures, interactive discussions of case studies, and lab activities. The course covers the following topics divided into modules as described below: DATA ANALYSIS Module (DAM) DAM1: Introductory concepts Topic 1.1: Classification of signals and their features: stationary and non-stationary signals, random and deterministic signals Topic 1.2: Basics of signal acquisition.
Students may refer to the reference materials provided during the course.
Argomenti del programma: The course content is delivered through lectures, interactive discussions of case studies, and lab activities. The course covers the following topics divided into modules as described below: DATA ANALYSIS Module (DAM) DAM1: Introductory concepts Topic 1.1: Classification of signals and their features: stationary and non-stationary signals, random and deterministic signals Topic 1.2: Basics of signal acquisition.
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Domande frequenti
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