MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Fourier Analysis of Signals and Systems: The Fourier Transform, Transmission of Signals through Linear Time-Invariant System, Canonical Representation of Band-Pass Signals, Linear Modulation Theory, Numerical Computation of the Fourier Transfom
Probability Theory and Bayesian Inference: Probability Theory, Random Variables, The Gaussian Distribution, The Central Limit Theorem, Bayesian Inference. Application to communication systems.
Stocastic Processes: Definition, Strictly Stationary and Weakly Stationary Processes, Ergodic Processes, Transmission of a Weakly Stationary Process through a Linear Time-invariant Filter, Power Spectral Density of a Weakly Stationary Process, The Gaussian Process, Noise
Basics of Information Theory: Entropy, Lossless Data Compression Algorithms, Channel Capacity
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Fourier Analysis of Signals and Systems: The Fourier Transform, Transmission of Signals through Linear Time-Invariant System, Canonical Representation of Band-Pass Signals, Linear Modulation Theory, Numerical Computation of the Fourier Transfom
Probability Theory and Bayesian Inference: Probability Theory, Random Variables, The Gaussian Distribution, The Central Limit Theorem, Bayesian Inference. Application to communication systems.
Stocastic Processes: Definition, Strictly Stationary and Weakly Stationary Processes, Ergodic Processes, Transmission of a Weakly Stationary Process through a Linear Time-invariant Filter, Power Spectral Density of a Weakly Stationary Process, The Gaussian Process, Noise
Basics of Information Theory: Entropy, Lossless Data Compression Algorithms, Channel Capacity
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
Oral exam with the teachers
Oral exam with the teachers
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEMS
The student who successfully passes the exam will have acquired the knowledge necessary for the analysis of signals and systems and the basic technologies for data transfer in communications systems.
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
The student who successfully completes the course will have the ability to understand the main communication standards for the delivery of digital information in the Future Internet. She/He will master digital signalling and formatting for wireless and wired communications in optical backbones, 4G and 5G cellular networks and in xDSL, and will have a fundamental knowledge about the issues of digital encoding of information and exploitation of communication resources like energy and bandwidth. moded.
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEMS
The student who successfully passes the exam will have acquired the knowledge necessary for the analysis of signals and systems and the basic technologies for data transfer in communications systems.
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
The student who successfully completes the course will have the ability to understand the main communication standards for the delivery of digital information in the Future Internet. She/He will master digital signalling and formatting for wireless and wired communications in optical backbones, 4G and 5G cellular networks and in xDSL, and will have a fundamental knowledge about the issues of digital encoding of information and exploitation of communication resources like energy and bandwidth. moded.
Oral exam with the teachers, and development of howeworks during the course.
Oral exam with the teachers, and development of howeworks during the course.
The student will acquire also a vision of the market and of the industrial needs in the field of communication networks
The student will acquire also a vision of the market and of the industrial needs in the field of communication networks
Through some questions during the oral exam and classes.
Through some questions during the oral exam and classes.
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Basic knowledge of mathematical analysis and probability theory. Basic knowledge of the MATLAB programming language.
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
Basic knowledge of signals, systems, and digital formats.
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Basic knowledge of mathematical analysis and probability theory. Basic knowledge of the MATLAB programming language.
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
Basic knowledge of signals, systems, and digital formats.
Delivery: face to face/Online
Attendance: Not mandatory
Learning activities:
Delivery: face to face/Online
Attendance: Not mandatory
Learning activities:
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Fourier Analysis of Signals and Systems: The Fourier Transform, Transmission of Signals through Linear Time-Invariant System, Canonical Representation of Band-Pass Signals, Linear Modulation Theory, Numerical Computation of the Fourier Transfom
Probability Theory and Bayesian Inference: Probability Theory, Random Variables, The Gaussian Distribution, The Central Limit Theorem, Bayesian Inference. Application to communication systems.
Stocastic Processes: Definition, Strictly Stationary and Weakly Stationary Processes, Ergodic Processes, Transmission of a Weakly Stationary Process through a Linear Time-invariant Filter, Power Spectral Density of a Weakly Stationary Process, The Gaussian Process, Noise
Basics of Information Theory: Entropy, Lossless Data Compression Algorithms, Channel Capacity
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Fourier Analysis of Signals and Systems: The Fourier Transform, Transmission of Signals through Linear Time-Invariant System, Canonical Representation of Band-Pass Signals, Linear Modulation Theory, Numerical Computation of the Fourier Transfom
Probability Theory and Bayesian Inference: Probability Theory, Random Variables, The Gaussian Distribution, The Central Limit Theorem, Bayesian Inference. Application to communication systems.
Stocastic Processes: Definition, Strictly Stationary and Weakly Stationary Processes, Ergodic Processes, Transmission of a Weakly Stationary Process through a Linear Time-invariant Filter, Power Spectral Density of a Weakly Stationary Process, The Gaussian Process, Noise
Basics of Information Theory: Entropy, Lossless Data Compression Algorithms, Channel Capacity
MODULE 2: FUNDAMENTALS OF DIGITAL COMMUNICATIONS
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Slides presented during the lectures and other reference material that will be indicated during the course, including the folling book:
MODULE 1: FUNDAMENTALS OF SIGNALS AND SYSTEM
Slides presented during the lectures and other reference material that will be indicated during the course, including the folling book:
Mandatory oral exam: for each module (IT & WC) 30 min. Discussion about two main topics suggested by the examiner, and that the student must be capable to master in detail.
Mandatory oral exam: for each module (IT & WC) 30 min. discussion about two main topics suggested by the examiner, and that the student must be capable to master in detail.