37685 - Computational Tools (M-Z)

Learning outcomes

At the end of the Teaching Activities related to the course “Computational Tools”, students will be familiar with programming techniques, plus, they should have gathered a knowledge on basic instructive concepts that would help them accomplish an optimal research on resources like the internet (and other databases), develop an awareness to select, deploy and elaborate some bibliographical data, statistics, balance sheets, market data, benchmark, outcomes of working groups operating in the corporate/business fields, develop the ability to set-up and structure the information coming from financial support, from the management and from other different professions. This course is intended to complement the analytical skills of the student when it comes to: - perform a research on the internet, on scientific databases, identify data, select it, group them, assess it. - compute the data with the purpose of drafting summaries, documentation and other files that may be useful for the working group. - conducting simple numerical analysis of dynamic economic and accounting models on a spreadsheet - compute indicators and indexes and work them from a graphical standpoint, rely on the use of alternative models e display all outcomes, results and strategies knowing how to assemble all this information. - Evaluate and assess all the different options to reach a full automation of the firm.

Course contents

This course is designed to give you an introduction to the tools you can begin harness to map the data you have now and to predict the data you may have in the future.

• Introduces skills, concepts, and capabilities necessary to effectively use information technology.

• Includes logical reasoning, managing complexity, operation of computers and networks, and contemporary applications such as effective Web searching, database and spreadsheet manipulation and social impacts of information technology.

Through short, easy-to-follow demonstrations, you’ll learn how to use Spreadsheet and Database so that you can begin to buil models, decision trees and meaningful visualizations.

Readings/Bibliography

No books are necessary.

Teaching methods

Lectures (with slides) + practical applications in laboratory.

Assessment methods

Written exam in laboratory + multiple choice quiz.

Teaching tools

Blackboard, slides, practical applications in laboratory.

Office hours

See the website of Antonio Puglisi