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 | Educational activities | | C | Similar or integrative 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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2019/2020
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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 (357) Electronic Engineering
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Track
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E1A - Non diversificato
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Programme Year
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3
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ID Code
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054221
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Course Title
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FUNDAMENTALS OF NUMERICAL ANALYSIS
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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5.0
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Semester
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Second Semester
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Course Description
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Errors in Numerical Processes: Stability and conditioning of numerical methods and algorithms. Numerical Solution of Linear Systems: Condition number and its influence on errors propagation. Direct methods: Gaussian elimination and matrix factorizations. Iterative procedures: Jacobi, Gauss Seidel, S.O.R. Solution of overdetermined linear systems by the Least-Squares method. Eigenvalues Approximation: The power method and the QR method. Solution of Nonlinear Equations: Iterative methods: bisection method, fixed-point iteration and Newton method for system of nonlinear equations. Zeros of polynomials. Approximation: Polynomial interpolation. Splines interpolation. Least-Squares approximation and data fitting. Numerical Integration: Newton-Cotes rules. Composite rules. Adaptive quadrature. The Solution of the Cauchy Problem for Ordinary Differential Equations: One step methods, Euler, trapezoidal rules and Runge-Kutta methods. Stability and convergence analysis. MATLAB software library.
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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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C
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MAT/08
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NUMERICAL ANALYSIS
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5.0
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Innovative teaching
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The course includes 1.0 credits in Innovative Teaching as follows:
- Blended Learning & Flipped Classroom
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| Schedule, add and remove | Alphabetical group | Professor | Language | Course details |
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| From (included) | To (excluded) |
|---|
| -- | A | ZZZZ | De Falco Carlo | |  |
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Details 
Class schedule planning