With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
The sidebar on the left displays the number of lessons included in schedule. There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Similar or integrative activities
Course completely offered in italian
Course completely offered in english
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)
School of Industrial and Information Engineering
(Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
T2A - COMPUTER SCIENCE AND ENGINEERING
COMPLEX SYSTEMS DYNAMICS
Credits (CFU / ECTS)
The aim of the course is to illustrate problems, methods and algorithms for complex systems, with special focus on nonlinear dynamics and on the networks of interacting systems.
In the first module (Systems theory (nonlinear dynamics)) the fundamental properties of nonlinear dynamical systems are discussed, namely the asymptotic behaviours, from the simplest one (stationary) to those more and more complex (persistent oscillations, periodic or chaotic). Then, the transitions from one behaviour to another when parameters are varied (bifurcations, hysteresis, catastrophes) are analysed.
In the second module (Complex systems and networks) the focus is on systems composed of many interacting units. Tools and methods for analysing complex networks are first discussed. Then, the role of the structure of the interactions on the overall dynamical behaviour is investigated (multi-agent systems, consensus and synchronization).