Familiarity with Excel.
At the end of the course the student can independently use the basic functionality of MATLAB. In particular can create and manipulate matrix both for computation and selection (e.g. sub-matrix under condition) and import data from external sources.
Graphics with their options and exporting utility are known at a good level.
The student knows how to create a script and a function and how recall them.
• Introduction to MATLAB
• Matrices, statements, functions
• Help and desktops
• Mathematical operations on matrices
• Other data structures
• .M files and programming language
• Control structures
• Script and function
• Objects handle
• Optimization toolbox
• Other toolboxes
Teaching will take place through lectures, but with a focus on discussion and direct dialogue with the students, which will be required to make proposals for study or debate in class.
During the course will be organized 12 hours of meetings with a foreign teacher with recognized expertise in the use of MATLAB in several quantitative issues. This series of lectures will study in depth the methodologies and findings applications chosen in agreement with the students about some of the activities of their interest.
The exam is oral and structured as follows: the student solves in writing a short exercise and discusses the answer with the teacher.
Each application is evaluated by:
a) the relevance of the answer over demand
b ) the correct syntax of the MATLAB language
c ) the ability to use the language of the program.
Valuation adopts pass/fail criteria
Financial and decision maker professionals worldwide use the interactive programming environment and prebuilt computational libraries of MATLAB® to develop quantitative applications.
A part of the course is taken by a colleague from University of Dundee, Scotland.
In the event that the course is delivered remotely (totally or partially), changes may
occur in the program and/or in the exam, in order to adapt the course to on-line teaching methods.