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.
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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)
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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.
Semester (Sem) | 1 | First Semester | 2 | Second Semester | A | Annual course | (1) | First Half-semester | (2) | Second Half-semester | Educational activities | C | Similar or integrative activities | A | Basic activities | Language |  | Course completely offered in italian |  | Course completely offered in english | -- | Not available | Innovative teaching |  | 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)
- Soft Skills
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Academic Year
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2020/2021
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School
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School of Industrial and Information Engineering
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Name
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(Bachelor of Science degree)(ord. 270) - MI (365) Mathematical Engineering
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Track
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MFO - Formativo
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Programme Year
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3
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ID Code
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078047
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Course Title
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P.D.E. ANALITICAL AND NUMERICAL METHODS
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Course Type
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Integrated Course
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Credits (CFU / ECTS)
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10.0
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Semester
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Second Semester
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Course Description
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Diffusion. Heat equation, well posed problems. Maximum principles. Fundamental solution. Random walk, symmetric and with drift. Brownian motion. Laplace equation. Well posed problems. Discrete harmonic functions. Fundamental solution, Newtonian potential. Green's function. Double and single layer potentials. Conservation laws. Traffic models. Characteristics.Shock and rarefaction waves. Rankine-Hugoniot condition. Riemann's problem. Vibrating string. D' 'Alembert formula. Duhamel's method. Kirchhoff and Poisson formula. Huygens principle. Distributions. Calculus. Hilbert. spaces. Projection, Riesz., Lax-Milgram Theorems. Sobolev spaces, traces. Variational formulation of boundary value problems for elliptic equations. Galerkin's method. Numerical methods for Partial Differential Equations in one space dimension. Finite Difference method. Galerkin methods: the Finite Element Method: basic features, convergence analysis for 1D problems. Error control: a-priori and a-posteriori analysis. Advection-diffusion problems. Stabilization techniques, Galerkin Generalized schemes for boundary layer problems. Parabolic problems. Space-time approximations with finite elements and finite differences. Hyperbolic (convection) problems. conservative finite difference schemes for scalar problems. Continuous and discontinuous finite elements. Finite Volumes.
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Scientific-Disciplinary Sector (SSD)
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Educational activities
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SSD Code
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SSD Description
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CFU
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A
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MAT/05
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MATHEMATICAL ANALYSIS
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5.0
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A,C
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MAT/08
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NUMERICAL ANALYSIS
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5.0
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