university of bologna fall semestereap.ucop.edu/documents/ourprograms/italy/bologna... · behavior,...

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University of Bologna Fall Semester Expected Engineering Courses in ENGLISH

n. b. Engineering courses begin slightly earlier in the term than other University

of Bologna courses and are located in a different part of Bologna.

Courses in English Chemical Engineering .................................................................................................................................... 2

Civil Engineering ............................................................................................................................................ 2

Electrical Engineering .................................................................................................................................... 7

Environmental Engineering ........................................................................................................................... 8

Mechanical Engineering ................................................................................................................................ 8

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Chemical Engineering Thermodynamics of Energy and Materials: 73514

5 quarter/3.3 semester units

Knowledge about thermodynamic properties of fluids and materials and their use in phase equilibrium

and reaction problems. Knowledge about the fundamentals of thermodynamic analysis for energy and

process industry applications.

Bioreactors and Downstream Processes: 73521


The course aim is to provide students with techniques for reactor and bioreactors analysis, as well as

knowledge of downstream and purification processes. A prior knowledge and understanding of basic

chemical engineering principles and, in particular, unit operations, thermodynamics and transport

phenomena are required.

Industrial and Environmental Biotechnology: 73520


This course aims to provide students with fundamental knowledge of applied biochemistry and

microbiology, necessary to understand the role of biological agents in main industrial and environmental

biotechnology processes.

Materials Chemistry: 73512


This course is intended to provide (engineering students) with a good comprehension of the principles

of chemistry and shows how they apply in describing the behavior of the solid state. A relationship

between electronic structure, chemical bonding, and crystal structure is developed.

Civil Engineering Groundwater and Contamination Processes: 78593


The course provides fundamentals of subsurface flow and transport, emphasizing the primary role of

groundwater in the hydrologic cycle, the relation of groundwater flow to hydrogeological properties,

and the management of contaminated groundwater. Effective methods for the prediction and

interpretation of groundwater processes will be discussed together with engineering implications. These

include basics of infrastructure design related to the subsurface environment. Particular attention will

be reserved to well hydraulics having several implications in water exploitation, monitoring and

remediation. Description and analysis of both synthetic and real case studies will provide the

opportunity to jointly apply concepts and methods discussed during the course.

http://www.engineeringarchitecture.unibo.it/en/programmes/course-unit-catalogue/course-unit/2018/405202








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Flood and Drought Risk Management: 78594


At the end of the course students have an understanding of the factors causing and aggravating both

river floods and droughts, and a knowledge of the options and measures available for reducing and

managing such risks. In particular, the course will provide advanced theoretical bases, knowledge of the

tools and applied skills for (i) the assessment of flood and drought risk, in terms of hazard and

vulnerability and (ii) the appraisal and design of measures for mitigating and managing such risks (such

as structures for flood protection/mitigation, flood and droughts policies/plans/mapping; forecasting

and managing flood and drought emergencies).

Managing in Engineering and Construction Processes: 72767 or Managing Engineering and

Construction Processes: 73370


A successful learner from this course will know the principles, methods and tools necessary to manage

design and construction processes, elements of planning, estimating, scheduling, bidding and

contractual relationships, valuation of project cash flows, critical path method, survey of construction

procedures, cost control and effectiveness, field supervision. The course provides a framework for

understanding and analyzing project management techniques as well as broader managerial issues.

Lectures and readings provide an introduction to the following concepts: project initiation, planning and

execution in the context of civil and construction engineering. Most of the topics presented during the

course will also be analyzed using case studies, problems and exercises.

Structural Safety: 72785


The method for safety evaluation and risk assessment of civil structures will be studied. Definition of

loadings and structural safety will be given in a probabilistic framework. Risk assessment of civil

structures in earthquake regions will be analyzed with details. The student will be acquainted with the

different methods for evaluation of the safety and risk associated with civil structures. The objective of

these methods being the evaluation of the probability of violation of a limit state function (such as

collapse). The failure probability will be obtained from the various sources of uncertainty/randomness

associated with: loadings, material properties, structural geometry, boundary conditions, as well as

structural models and analysis techniques. The course will also cover example of structurally sound

systems as well of major structural collapse/failures both with reference to static and seismic loadings.

The reasons behind the selection of the safety factors used in common Codes will also be covered.

Structural Strengthening & Rehabilitation: 72789


In the course, the student will know the techniques for the strengthening and rehabilitation of civil

structures (buildings and infrastructures), made of reinforced concrete, steel or masonry. The

techniques for strengthening in seismic areas will be also studied.










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Sustainable Building Design: 78737


The Training Objectives of the SUSTAINABLE BUILDING DESIGN course is to deliver knowledge for future

construction managers and designers on the: i) optimization of site potential; optimization of energy

use; optimize building spaces and material use. The course attenders will achieve design capabilities and

skills within a total project context in order to achieve quality, high-energy performance up to nearly

zero energy buildings (nZEBs). The course attendees will achieve design capabilities and skills within a

building project context developed and implemented to deliver quality, high-energy performance up to

nearly zero energy building (nZEB). Costs and energy performance of the designed solutions will be

calculated for the case study.

Sustainable Road Infrastructures: 81509


A successful learner from this course will know how to evaluate the impact of a road infrastructure on

the territory and how to design the interventions to mitigate these effects, for a more sustainable

infrastructure. A specific part of the course will deal with Water in road structures.

Advanced Structural Mechanics: 72758


The course is an extension and intensification of Mechanics of Solids and Structures. The goal of the

course is to advance the understanding of structural behavior and enhance the ability to apply classical

structural analysis methods to civil engineering systems. The advanced methods for the analysis of

structures will be applied to some structural examples which will be developed by the students.

Geotechnical Engineering: 73359


The course is aimed at providing students with advanced knowledge of soil mechanics and geotechnical

modelling, with special emphasis on their applications to the design of civil engineering structures. On

successful completion of the course, the student will: know the characteristics and peculiarities of soil

behavior, be able to determine and compare physical and mechanical soil parameters, learn skills and

develop methods for the design of main geotechnical structures.

Applied Geomatics: 73315


Through this course the student acquires knowledge to integrate modern surveying technologies

offered by Geomatics for the metrical study of objects, sites, and territory in a consistent way. The

student learns the use of space-geodetic techniques suitable for multi-scale measurements (global to

local), and thus he is able to integrate in situ observations, airborne surveying and satellite imagery. 3D

data acquisition and modeling is in particular discussed, either for environmental applications and for

civil and architectural surveys.











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Engineering Geology: 73360


The course is aimed at studying the engineering and environmental problems which may arise as a

result of the interaction between geology and human activities. The main goal of the course is to

improve the knowledge of geological and geomorphological processes, developing skills in the analysis

of their effects on civil engineering design. On completion of this course, students will be able to: make

preliminary site assessments on the basis of desk-study information; plan a program of site

investigation, selecting suitable invasive and non-invasive ground techniques; contribute to hydro-

geological hazard assessment and to the development of measures for prevention and remediation of

geological hazards.

Introduction to Numerical Methods: 73312


A successful learner from this course will be able to: a) deal with numerical analysis topics such as:

accuracy, truncation and round-off errors, condition numbers, convergence, stability, curve-fitting,

interpolation, numerical differentiation and integration, numerical linear algebra; b) deal with numerical

methods for solving ordinary and partial differential equations, with finite difference and finite element

methods for parabolic and elliptic partial differential equations, applications of computer programs to

case studies derived from civil engineering practice.

Petroleum Geosystem: 73362


The course is addressed to provide the basic knowledge of petroleum systems and petroleum

engineering, with special reference to exploration, drilling and production engineering. These topics

represent strategic elements as far as world energy supply is concerned. The Course is completed with

an introduction to the study of petroleum economics, project management and engineering phases of

the petroleum industry, with applicative exercises and laboratory practices.

Resources and Recycling: 73356


To develop cultural, scientific and engineering aspects for the enhancement and sustainable use and

recycling of both raw materials and primary-secondary resources. Moreover, they will be developed the

design aspects and feasibility of Appropriate Technologies for the developing countries, particularly with

regard to water supply, wastewater management and solid waste.

Geotechnical Engineering: 72765


The course is aimed at providing students with advanced knowledge of soil mechanics and geotechnical

modelling, with special emphasis on their applications to the design of civil engineering structures. On

successful completion of the course, the student will: know the characteristics and peculiarities of soil









https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2018/405354

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behavior, be able to determine and compare physical and mechanical soil parameters, learn skills and

develop methods for the design of main geotechnical structures.

Numerical Methods: 72764


A successful learner from this course will be able to: a) deal with numerical analysis topics such as:

accuracy, truncation and round-off errors, condition numbers, convergence, stability, curve-fitting,

interpolation, numerical differentiation and integration, numerical linear algebra; b) deal with numerical

methods for solving ordinary and partial differential equations, with finite difference and finite element

methods for parabolic and elliptic partial differential equations, applications of computer programs to

case studies derived from civil engineering practice.

Applied Geomatics: 72794


Through this course the student acquires knowledge to integrate modern surveying technologies

offered by Geomatics for the metrical study of objects, sites, and territory in a consistent way. The

student learns the use of space-geodetic techniques suitable for multi-scale measurements (global to

local), and thus he is able to integrate in situ observations, airborne surveying and satellite imagery. 3D

data acquisition and modeling is in particular discussed, either for environmental applications and for

civil and architectural surveys.

Engineering Geology: 72805


Engineering Geology is aimed at studying the engineering and environmental problems which may arise

as a result of the interaction between geology and human activities. The main goal of the course is to

improve the knowledge of geological and geomorphological processes, developing skills in the analysis

of their effects on civil engineering design.

Road Safety Engineering: 78595


The objectives of the unit are to gain a clear understanding of: - why road safety is important, how we

can achieve improvements and who is doing the work; - the multidisciplinary nature of road safety and

why we need to use a combination of engineering, education and enforcement to be successful; - the

behavior of road users and ways in which the road environment can be designed/improved to cater for

their needs; - the complexity of the human/vehicle/road system and how the interrelationships work to

influence the level of safety; - what are the legal responsibilities of road authorities and decision makers

and how they can fulfil them; - how to undertake accident investigations; - how to collect accident data

and what to look for in quality data; - how to analyze accident data, turn it into information and develop

cost effective, practical counter measures; - what needs to be done after treating a site and how to do it;

- how to be proactive in preventing accidents before they occur. Specific skill sets developed in the class

are: - Analysis of traffic collision and injury data; - Analysis of collision risk in a road network (network

screening); - Identifying crash causal factors; - Identifying and evaluating countermeasures; - Principles





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of Road Safety Management. - What is the Road safety Audit procedure, and what are aims and

objectives, roles and responsibility; history of road safety audit, road safety audit and design standards,

road safety audit tasks, various stages of safety audits; common identifiable problems. - How to

structure a road safety audit report, identify common problems. - Case studies and site visit; what to

look for onsite visits.

Science and Technology of Composite Materials: 72807


Knowledge of properties, application and manufacturing technology of main composite materials.

Comprehension of the mechanisms which allow to obtain particular properties on the basis of material

components and their architecture. Ability in the choice of the most suitable composite material on the

basis of the technological requirements of the product.

Electrical Engineering High Voltage Engineering: 78463


This course provides a deeper insight into the technological and engineering solutions adopted in power

systems in the presence of high voltage and high electric fields. At the end of the course students are

able to understand how lightning and switching surges affect high voltage systems, and possess the

knowledge of the main features of the devices used in the high voltage field: overhead and cable lines;

insulators; surge arresters; switchgears; DC, AC and impulse high voltage sources; voltage dividers. The

students are also getting the basics of insulation coordination and testing. Particular emphasis is put on

High Voltage Direct Current (HVDC) transmission systems, both from the line and from the converter

station viewpoint.

Electrical Drives for Industrial Applications: 78760


At the end of the course the students are able to understand the main technical problems concerning

the modelling of modern high-performance AC drives and power converters. The students are able to

identify suitable control techniques for induction and PM machines and for front-end converters used as

an interface to the grid, in a variety of applications, such as automation and wind energy generation.

Physics of Semiconductor Devices and Memories: 84200


Knowledge about the fundamentals of quantum mechanics and band theory of solids; knowledge about

the physical phenomena underlying the transport of charged carriers in solids and about the basic

semiconductor devices and solid-state memories. Competencies: (general) to have critical

understanding of technical and scientific tools; communication skills; to be able to work in an

international context; (specific) to understand the methods for investigating advanced solid-state

devices and memories; to determine the important microscopic and macroscopic parameters involved

in the functioning of such devices. Detailed contents: introductory part where the basic relations of








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quantum mechanics are shown; theory of bands in crystals and transport theory; mathematical model of

semiconductor devices and its application to the description of the basic devices (p-n junction, bipolar

transistor, MOS capacitor, MOS transistor), and application of the latter as memories. Resistive

memories. Interaction of radiation with matter, absorption of light, basic optical sensors (photo diode,

photo capacitor); lattice vibrations, derivation of the macroscopic elastic properties of solids and

applications (e.g., energy-harvesting devices, gyroscopes); use of MOS transistors as chemical sensors in

liquids. Performance metric of devices.

Vehicular Communications: 85731


The course will provide fundamentals of intra-vehicle wireless and wired communication systems, and

of wireless transmission and network/protocol architectures for the connectivity between the vehicle

and the cloud. Understanding of the architecture of satellite positioning systems and the main design

principles and performance trade-off.

Image Processing and Computer Vision: 69661 – Cross-listed under Mechanical Engineering

5 quarter /3.3 semester units

The course aims to introduce basic knowledge about algorithms, tools and systems for the

management, processing and analysis of digital images. The main topics of the course are filtering

aspects of digital images, algorithms for image processing, algorithms for segmentation and

classification of objects in digital images. Theoretical aspects that are introduced in the course are then

applied to the design and manufacturing capabilities of simple systems oriented to real world

applications. At the end of the course students are able to master basic digital image processing

techniques and know potentials of this technology in applicative research and industrial contexts.

Wireless Sensor Networks: 73548


This course shortly introduces to wireless communications and the main applications of WSNs; it aims at

describing those wireless technologies enabling the deployment of WSNs. After a theoretical part

discussing the impact of the radio environment, energy constraints and the basic elements of data

aggregation techniques, laboratory activities will follow where students will use wireless devices and will

realize and test the performance of WSNs in realistic environments.

Environmental Engineering UCEAP Does not have an Environmental Engineering subject area in MyEAP. Environmental Engineering

courses are listed under Civil Engineering above.

Mechanical Engineering Mathematical Methods for Automation Engineering: 78809







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The objective of the course is to introduce advanced mathematical tools that are instrumental in many

fields of automation engineering. Specific topics that are presented in the course regard fundamentals in

probability theory, combinatorial calculus, random variables and calculus, stochastic processes,

elements of statistics. Besides theoretical tools the course will introduce SW packages for handling

stochastic variables. At the end of course students master key statistical tools that play a role in

estimation, filtering and control.

Real Time Systems for Automation: 78810 YEAR LONG COURSE


The course covers the fundamentals of modern real-time operating systems. Arguments that are

addressed in the course are architecture, organization, and functionalities of modern operating systems,

task management and resource allocation, mechanisms and tools for synchronization and concurrent

programming, characteristics of real-time operating systems and main scheduling algorithms for hard

real-time periodic processes. A part of the course is also devoted to supervised lab activity, with a focus

on Linux and RTAI. At the end of the course students master all the fundamental aspect of informatics

that are instrumental for the design and control of automatic systems.

Mechatronics Systems Modeling and Control: 78983 YEAR LONG COURSE


By taking inspiration from real world problems in automation that are not strictly related to the

automatic machine scenario, the course aims at illustrating the main principles and methodologies for

the integrated development of a mechatronic system, starting from its modelling and simulation,

towards the implementation of proper control laws, that can be verified on the simulative model. Such

general principles are then examined in deep and with a more applicative and control-oriented

perspective, thanks to one or more projects that students have to develop under the instructor

supervision. Lab activities on real setups characterize this course. At the end of the course the students

will master lab tools for programming control system units and have a deep understanding of issues

regarding implementation of real time control systems.

Diagnosis and Control: 35166


The course aims to give a systematic overview of the main available methodologies and of the technical

norms that should be used to rationally overcome problems due to faults and malfunctioning affecting

modern automatic systems. Fault diagnosis and fault tolerant control methodologies as well as the

functional safety tools, norms and standards that regulate safety-critical systems design are topics of the

course. At the end of the course students are able to design algorithms for fault detection, to design

fault tolerant schemes, and have an overview of safety norms in industrial settings.

Fundamentals of Mechanics of Machines: 84232


The course aims at strengthening the knowledge of the structure of machines and mechanisms with

particular attention to the kinematic, kinetostatic and dynamic analysis of systems with rigid links and to








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the dynamics of cycle machines. Advanced methods of analysis and synthesis of mechanisms, cams and

gears will complement the basic concepts developed at the bachelor level. Elements of machine design

and strength of materials are also presented with emphasis to fatigue analysis and structural analysis. At

the end of the course students have a deep understanding of all the elements of mechanics that are

fundamental for industrial automation, mastering design and construction principles that play a role in

modern automatic machines.

Electric Power Systems and Smart Grids: 78453 or Electric Power Systems and Smart Grids: 78453


The course provides the basics for understanding the main aspects of modern power systems/smart

grids analysis and operation in steady state and transient/dynamic conditions. At the end of the course

students are able to understand the main technical problems relevant to transmission and distribution

of electric energy, and can solve them with particular reference to load flow, short circuit calculation,

stability, frequency control, voltage control and renewable sources diffusion in the electric network and

smart grids. The development of centralized as well as distributed clean electricity generation, the setup

of electricity markets that foster competition and economic efficiency, and the expected electrification

of the transportation system will make electricity the dominant energy form in the future. The course

covers the key technical characteristics of the operation and control of modern electric power systems

following the smart grid paradigm.

Fluid Mechanics and Transport Phenomena: 73511


This course aims to provide students with advanced tools for analyzing and modelling momentum,

energy and mass transport in fluid or solid media. Continuum mechanics approach is used to address the

discussion of fluid mechanics, heat and mass transfer problems. Successful learner in this course will be

able to understand the role of local form of total mass, momentum, energy and species balance

equations.

Advanced Combustion Systems: 86499 or Advanced Combustion Systems: 85781


Spark Ignited Combustion System: laminar and turbulent flame speed, ignition and main combustion

process. The knock and pre-ignition events. The combustion cycle-to-cycle variation. Effect of design

parameters and operating conditions. Compression Ignition non-premixed combustion: Spray dynamics

and combustion chamber fluid dynamics characteristics, fuel auto-ignition, non-premixed combustion.

Emission formation mechanisms. Advanced Combustion systems based on auto-ignition of fully- or

partially-premixed charge (HCCI,GDCI, RCCI): effect of fuel specifications and injection strategies. Rate of

Heat release. Criteria for the combustion chamber design including the definition of injector

specifications and the optimizations of its interaction with in-cylinder flow characteristics (tumble-swirl).

In-cylinder charge motion: Swirl, Tumble, Squish motions. Swirl and Tumble dynamics and steady test

bench characterization. High-pressure direct-injection injection system (gasoline and Diesel engine).

Injection system layout and operation. Multihole injector layout and operations. Injector characteristic

curves. Injector nozzle flow fundamentals: cavitation and two-phase flow in injector holes. Liquid jet






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atomization and spray breakup process: liquid jet break up process droplet break up. Experimental

characterization of fuel sprays: penetration, Sauter Mean Diameter, static flow rate.

Test, Diagnosis and Reliability: 85734


The course will first address the problem of fault modeling, with reference to the automotive

environment, to then study testing, design for testability and hardware in the loop approaches. Then,

onboard monitoring and diagnosis will be addressed, to finally study fault tolerant techniques for

reliable systems’ design. The course will include laboratory experiences, and possible seminars given by

experts in the field from the industrial world.

Electrical Propulsion Systems: 86475


Learn a method for analyzing electric drives, used for studying the integration of electric systems into

the traction system of a road vehicle. Learn the main subjects related to the management of electric

drives supplied by battery packs. Learn how to manage more than one electric drives in the same

energetic conversion system. Learn design methodology for full electric and hybrid-electric propulsion

system and sizing criteria for the main components. Develop the ability to model a full traction system,

composed of: electric drives, battery system, transmission, vehicle longitudinal dynamic, including the

control system Develop the ability to analyze uncommon powertrain configurations both in terms of

topology and basic technology.

Modeling and Control of Internal Combustion Engines and Hybrid Propulsion Systems: 86460


The course has the objective of better understanding modern internal combustion engines for motor

vehicles and hybrid propulsion systems, with particular reference to their architecture, functionality,

environmental impact, and control system. Students develop the ability to model dynamic systems, with

a control-oriented approach and with particular application to internal combustion engines and hybrid

powertrains (electric, mechanical, hydraulic). Finally, the course provides the knowledge necessary to

develop control strategies based on physical models of the system (powertrain and / or vehicle), and

oriented to the minimization of fuel consumption and pollutant emissions.

Powertrain Testing, Calibration and Homologation: 86462


The main objective of the Course is to introduce and discuss the main aspects related to an internal

combustion engine test cell, to allow the students to become familiar with such environment and its

applications. An introductory part will be provided to analyze the following topics: - Main theoretical

aspects regarding homologation procedures and regulations; - Main engine sensors and actuators; -

Modern calibration methodologies such as Design Of Experiments; - Main experimental activities and

facilities used during the engine and vehicle development process. During the course, students spend

several hours in the test cell, conducting different types of tests (starting from standard power curves to

calibration-oriented tests, or tests focused on combustion analysis). The rest of the time is spent in the





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classroom/computer room, introducing the experimental activity and analyzing the data that have been

acquired, with a calibration-oriented approach.

Logistic Simulations Lab: 86473


The Course aims at fully understand and use the AutomodTM tool with the final purpose to develop in

an adequate dynamic simulation environment the following aspects about manufacturing processes:

Conveyor systems; Material handling systems; Flexible Manufacturing Systems; Flexible Assembly lines;

Manual and automatic warehouse systems; Supply chain and logistic systems. At the end of the course,

the Participants will be able to: Understand the concepts underlying process simulation; Know the range

and capabilities of simulation; Create a simulation of a complex production system; Produce and

interpret a simulation report; Realize and analyze What-If scenarios.

Vehicle Virtual Design: 86468


Know and understand the fundamentals of the Virtual prototyping through the systematic approach to a

complete DMU (Digital Mockup) that from the design concept leads to the engineering of a vehicle (car

or motorcycle). Work independently and original, and apply multidisciplinary knowledge to the virtual

design and optimization of systems and components in vehicle engineering. The student will need to

learn the most advanced techniques of interaction between real and virtual prototype through the

principles of human-machine interaction. Developing the ability to work within a workgroup, planning

and managing the activities needed to achieve technically valid project results.

Motorcycle Vehicle Dynamics: 86466


Students are introduced to procedures and methods for modelling, identification, design, analysis of

dynamical models of motorcycle systems. Tools: - analytical tools, to understand the basic system

mechanical behavior; - numerical tools, in order to simulate complex mechanical systems; -

experimental tools, to make it possible critical parameters to be identified.

Industrial Plants Design: 86476


Knowledge and comprehension of the course contents in relation to the production system design. Skills

and capabilities in the application of the previously mentioned contents to real complex industrial cases

where both the human and the machine components are present. Expertise in the evaluation of the

profitability of an industrial investment

Industrial Robotics: 86477


The student acquires the basic elements for modelling the kinematics, the statics and the dynamics of

spatial articulated systems with both open (serial) and closed (parallel) architecture that are at the basis

of current industrial robots. In addition, the student learns basic knowledge of criteria of use, motion






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planning, as well as economic and organizational aspects that are needed to integrate robots into

production systems.

Industrial Robotics: 84228


The course provides the basic competencies in the field of industrial robotics. The main topics addressed

in the course are basic concepts of robotics (kinematic and dynamic models, basic control schemes),

illustration of advanced control schemes for position and force control of industrial manipulators (robust

control, adaptive control, learning control, stiffness, impedance, hybrid position/force), trajectory

planning for robots and automated machines, modeling and control aspects of mobile robotics.

Theoretical aspects presented in the course are then used in practical activities on designing and

controlling a mobile robot (LEGO). Advanced robotic applications (robotics in medicine, haptic systems,

telemanipulation, etc.) are also presented. At the end of the course students know basic robotic

technologies and they master modeling and advanced control aspects of robots used in industrial and

research settings.

Mathematical Methods for Automation Engineering: 78809


The objective of the course is to introduce advanced mathematical tools that are instrumental in many

fields of automation engineering. Specific topics that are presented in the course regard fundamentals in

probability theory, combinatorial calculus, random variables and calculus, stochastic processes,

elements of statistics. Besides theoretical tools the course will introduce SW packages for handling

stochastic variables. At the end of course students masters key statistical tools that play a role in

estimation, filtering and control.

System Theory: 78764


The course will provide students with the fundamental tools for the analysis of multivariable dynamic

systems and their structural properties. Basic tools of system theory will be introduced. The main topics

of the course are related to possible representation of dynamic linear systems, structural properties

(stability, observability, controllability), special normal forms, Kalman decomposition, and others. At the

end of the course students master all the basic principles of system theory by studying in a systematic

way properties of multivariable dynamic systems.

Image Processing and Computer Vision: 69661 – Cross-listed under Electrical Engineering


The course aims to introduce basic knowledge about algorithms, tools and systems for the

management, processing and analysis of digital images. The main topics of the course are filtering

aspects of digital images, algorithms for image processing, algorithms for segmentation and

classification of objects in digital images. Theoretical aspects that are introduced in the course are then

applied to the design and manufacturing capabilities of simple systems oriented to real world





14

applications. At the end of the course students are able to master basic digital image processing

techniques and know potentials of this technology in applicative research and industrial contexts.

Diagnosis and Control: 35166


The course aims to give a systematic overview of the main available methodologies and of the technical

norms that should be used to rationally overcome problems due to faults and malfunctioning affecting

modern automatic systems. Fault diagnosis and fault tolerant control methodologies as well as the

functional safety tools, norms and standards that regulate safety-critical systems design are topics of the

course. At the end of the course students are able to design algorithms for fault detection, to design

fault tolerant schemes, and have an overview of safety norms in industrial settings.

Distributed Control Systems: 35168


The course provides the basic principles for distributed control systems, both functionally and

architecturally. The main topics are basic principles of decentralized and distributed control, consensus

algorithms and their application to synchronization and coordination problems, control of homogeneous

multi-agent systems, estimation and filtering in distributed systems environment, characteristics of

HW/SW architectures for real-time distributed systems, the role of digital networks in real-time systems,

synchronization issues and time management in distributed systems, interaction of real-time processes

in distributed systems. At the end of the course students have a deep knowledge of the problems

regarding distributed systems and of the tools to develop control and estimation solution in distributed

environments.

Fundamentals of Mechanics of Machines: 84232


The course aims at strengthening the knowledge of the structure of machines and mechanisms with

particular attention to the kinematic, kinetostatic and dynamic analysis of systems with rigid links and to

the dynamics of cycle machines. Advanced methods of analysis and synthesis of mechanisms, cams and

gears will complement the basic concepts developed at the bachelor level. Elements of machine design

and strength of materials are also presented with emphasis to fatigue analysis and structural analysis. At

the end of the course students have a deep understanding of all the elements of mechanics that are

fundamental for industrial automation, mastering design and construction principles that play a role in

modern automatic machines.




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