Block D

Digital Signal Processing – (block C-D)

Simona Ranieri 2 semester, 3 Year, 6 credits, 9 credits, Block C, block d-opt, Subjects
Digital Signal Processing – (block C-D)
3 YEAR 2 semester 6 CREDITS* – 9 CREDITS (22-23)
Prof. Marina Ruggieri 2019-20

RUGGIERI MARINA (8cfu)

Tommaso Rossi (1cfu)

2020-21 and 2021-22  (6cfu)
2022-23 (9cfu)

2023-24 (9cfu)
 

ruggieri@uniroma2.it

Code: 8039514
SSD: ING-INF/03

from Internet Engineering

*the number of credits depends on your study plan. The Study plans A.Y. 22-23 changed in this way: DSP 9 CREDITS

OBJECTIVES

LEARNING OUTCOMES: The course aims at providing to the students the theoretical and practical tools for the development of design capabilities and implementation awareness of Digital Signal Processing (DSP) systems and applications.

KNOWLEDGE AND UNDERSTANDING: Students are envisaged to understand the DSP theoretical, design and algorithm elements and to be able to apply them in design exercises.

APPLYING KNOWLEDGE AND UNDERSTANDING: Students are envisaged to apply broadly and, if applicable, to personalize the design techniques and algorithm approaches taught during the lessons.

MAKING JUDGEMENTS: Students are envisaged to provide a reasoned description of the design and algorithm techniques and tools, with proper integrations and links.

COMMUNICATION SKILLS: Students are envisaged to describe analytically the theoretical elements and to provide a description of the design techniques and the algorithm steps, also providing eventual examples.

LEARNING SKILLS: Students are envisaged to deal with design tools and manuals. The correlation of topics is important, particularly when design trade-offs are concerned.

SYLLABUS

PART 1- Discrete-time signals and systems; representation in the time domain; sampling process; Discrete-time Fourier transform (DTFT); Z-transform; Discrete Time Fourier Series (DTFS).
PART 2 – Processing algorithms: introduction to processing; Discrete Fourier Transform (DFT); finite and long processing; DFT-based Processing; Fast Fourier Transform (FFT); processing with FFT.
PART 3 – Filter Design: introduction to digital filters: FIR and IIR classification; structures, design and implementation of IIR and FIR filters; analysis of finite word length effects; DSP system design and applications; VLAB and applications (Dr. Tommaso Rossi) with design examples and applications of IIR and FIR filters, Matlab-based lab and exercises (optional).

Experimental Electronics – (block B-D)

Simona Ranieri 2 semester, 3 Year, 6 credits, Block B, block d-opt2, Subjects
Experimental Electronics – (block B-D)
3 YEAR 2 semester 6 CREDITS
Prof. Lucio Scucchia 2019-20
SCUCCHIA LUCIO 2020-21
2021-22
  Code: 8037959
SSD: ING-INF/01

LEARNING OUTCOMES:
The fundamental purpose of this course is to provide students the necessary knowledge concerning the practical aspects of the use of measuring instruments, assembly of circuits, and the limits of the most common components and integrated circuits. It is important to observe, that the objectives of a normal course of electronics are to some extent different from those of this course. In fact, generally the goal is basically the understanding the operation of the various circuits proposed. For the experimental electronics course, on the contrary, the fundamental purpose is the synthesis or the project. In other words, choosing the right components of a circuit so that it behaves in the way you want.

KNOWLEDGE AND UNDERSTANDING:
Understanding of the practical aspects necessary for using the most commonly used measuring instruments, basic electronic configurations, and the most used integrated circuits.

APPLYING KNOWLEDGE AND UNDERSTANDING:
Ability to use the introduced measuring instruments, to design and to implement the electronic circuits examined during the course.

MAKING JUDGEMENTS:
Education for an independent evaluation, as it is necessary for verifying, through measurements, the synthesized electronic circuits implemented during the course. Furthermore, the reasoning is stimulated for the identification of all those errors in which the student may incur in phase of synthesis, implementation and measurement.

COMMUNICATION SKILLS:
The communication between the learner and the teacher is stimulated and refined during the course, as there is ample room for questions from students who need to know how to combine the theoretical and practical aspects of the proposed experiments.

LEARNING SKILLS:
The course is based on learning a series of preparatory elements. This requires the learning of a certain number of notions necessary to solve the experiments of the next lesson.

SYLLABUS

General concepts related to the use of measuring instruments present in the laboratory (multimeter, power supply, signal generator, oscilloscope).
Passive filters.
Diode circuits. Synthesis of small-signal amplifiers. Concepts related to the power amplifiers, class A, B and AB.
BJT current sources. Concepts related to sinusoidal oscillators. Structure and operation of operational amplifiers, and their applications. Structure and operation of voltage regulators, and their applications. Structure and operation of timers, and their applications.

Machine Design – (block A-D)

Simona Ranieri 1 semester, 3 Year, 9 credits, Block A, Block D, Subjects
Machine Design – (block A-D)
3 YEAR 2 semester 9 CREDITS
Prof. Luciano Cantone since 2019-20
CANTONE LUCIANO 2022-23
  Code: 8037969
SSD: ING-IND/14

OBJECTIVES

LEARNING OUTCOMES: Designing mechanical components considering the need to save weight, material and energy while respecting safety, to promote the usefulness and social impact of the designed product.
KNOWLEDGE AND UNDERSTANDING: The design of mechanical systems; in particular, basic knowledge of the design methodologies of important machine components.
APPLYING KNOWLEDGE AND UNDERSTANDING: Knowing how to recognise, distinguish and use the main techniques and tools for the design of mechanical components.
MAKING JUDGEMENTS: Students must assume the missing data of a problem and be able to independently formulate basic hypotheses (such as that on safety coefficients) based on the operational and functional context of the system/component they have to design.
COMMUNICATION SKILLS: Transfer information, ideas and solutions to specialist and non-specialist interlocutors through intensive use of English terminology.
LEARNING SKILLS: Students, by learning the basics of design, acquire the tools to learn the necessary design techniques of systems/components not directly addressed during the course.

COURSE SYLLABUS

The first part of the course is addressed to the consolidation of basic knowledge to put the student in the right conditions to face a generic machine design problem: Mechanical Engineering design in Broad, Perspective, Load Analysis, Materials, Static Body Stresses, Elastic strain, Deflection, Stability (Eulerian buckling), Vibrations (beam Eigen-modes), Failure Theories, Safety Factors, Reliability, High cycles Fatigue, Low cycles Fatigue, Surface Damage, Contact and impact problems.

The second part will cover specific design activities: Threaded Fasteners and Power Screws, Rivets, Welding, Bonding, Springs, Lubrication and Sliding Bearings, Rolling-Element Bearings, Spur and Helical Gears, Shafts and Associated Parts. During the course, several design activities will be demonstrated by exercises and by real-life applications.

Energy Systems – (block A-D)

Simona Ranieri 2 semester, 3 Year, 6 credits, Block A, block d-opt2, Subjects
Energy Systems – (block A-D)
3 YEAR 2 semester 6 CREDITS
Prof. Michele Manno 2019-20 to 2023-24
MANNO MICHELE 2023-24
 

michele.manno@uniroma2.it

Code: 8037964
SSD: ING-IND/09

OBJECTIVES

LEARNING OUTCOMES:
After completing the course, the students should acquire a good knowledge of the fundamental operating principles of energy conversion systems, and they should be able to analyze the layout and evaluate the performance and efficiency of thermal and hydroelectric power plants.

KNOWLEDGE AND UNDERSTANDING:
Students are expected to understand the fundamental principles underlying the operation of energy conversion systems.

APPLYING KNOWLEDGE AND UNDERSTANDING:
Students are expected to be able to assess the performance of energy conversion systems.

MAKING JUDGEMENTS:
Students are expected to be able to choose the most suitable energy conversion system and its operating parameters, given a particular application.

COMMUNICATION SKILLS:
Students are expected to be able to describe and illustrate the operating principles of energy conversion systems.

LEARNING SKILLS:
Students are expected to be able to read and fully understand technical literature related to energy conversion systems.

COURSE SYLLABUS

Students will be introduced to the main principles of energy conversion systems, with particular reference to steam and gas turbine power plants, combined cycle power plants,
hydroelectric power generation.

More specifically, the following topics will be addressed:

Introduction

  • Review of fluid properties and equations of state.
  • Analysis of combustion processes.
  • Analysis of energy conversion systems based on 1st and 2nd Laws of Thermodynamics.
  • Thermodynamic cycles: definition of network output and thermal efficiency; external and internal irreversibilities; efficiency factors.

Steam power plants

  • Analysis of ideal and real thermodynamic cycles.
  • Choice of operating parameters.
  • Techniques to improve plant efficiency: steam reheating, regenerative feed heating.
  • Plant layouts, applications.

Gas turbine power plants

  • Analysis of ideal and real thermodynamic cycles.
  • Choice of operating parameters and techniques to improve performance: regenerative heat exchanger, reheaters, intercoolers.
  • Layout of heavy-duty and aeroderivative turbines, applications.

Combined cycle power plants

  • Analysis of “topping” (gas turbine) and “bottoming” sections, definition of recovery efficiency.
  • Thermodynamic optimization of bottoming sections with variable temperature heat input.
  • Plant layout, applications.

Hydroelectric power generation

  • Hydraulic turbines: classification, operating parameters, performance characteristics.
  • Hydroelectric plant classification and layouts, applications.