Itinerari per l'alta formazione

Itinerari per l'alta formazione

IRCrES
Itinerari per l’alta formazione è una collana dei Volumi IRCrES per la didattica universitaria e terziaria. Gli Itinerari mettono rapidamente a disposizione degli studenti, della comunità scientifica e di un vasto pubblico testi finalizzati alla formazione.
6 objects

2022

Deep Learning for Beginners

Greta Falavigna
The aim of the present handbook is to drive the reader toward a deepen knowledge of Deep Learning (DL) methodologies and their functioning. Even if DL has ancient ancestry, only in recent years they have been strongly revalued and consequently applied. However, it is noteworthy that in this field, the increasing computational power played a fundamental role: Deep Learning models are techniques of success, but, at the same time, they are also expensive from a computational point of view and not always clearly understandable. The handbook starts considering the “big family” of Artificial Intelligence (AI), and continues clarifying what are Machine Learning (ML) and Deep Learning (DL). The reader will discover that DL is based on Artificial Neural Networks (ANN), then the fundamentals of ANNs will be presented and discussed, until getting to understand the working and the differences among different architectures. Finally, at the end of the reading, the reader will have in hands all knowledge required for recognizing different Deep Learning architectures, their functioning, and the fields of their applications.

Le informazioni per le decisioni: dalla contabilità ordinaria e industriale al bilancio contabile e d’esercizio

Elena Ragazzi
Strumenti decisionali per l'impresa. Volume 2This volume is the second part of the text “Decision-making tools for the firm. Handbook for engineers and technicians who must make economic decisions”. It offers guidance to students and professionals who find themselves having to make decisions that affect the economic dimension of the firm. After the definition and description of the firm offered in volume I, the second step analyses the accounting system as a source of information that can be used to make decisions. Finally, the third volume will present the criteria to be adopted to correctly take some of the main short and long-term decisions that characterize the management of a business. In this volume, we start analyzing the accountability rules on the basis of which the company registers day by day all the events involving the company facing external entities. The same rules are applied to determine the balance sheet, the yearly picture of the health status of the company. Understanding these rules will allow being aware of the opportunities and limitations of the accountability system as a source of information to take strategic decisions. In the second part, the balance sheet will be analyzed through indexes, to better explore the main financial and economic dimensions relevant for the governance of the firm. Finally, in part three, we will have a look to another information source, represented by cost accounting. This optional register allows to have detailed information on the events occurring inside the firm (production processes, warehouse). The approach of this volume is to give the reader a good understanding of the accounting methods, avoiding an excessive level of technical details, so as to have a clear comprehension of the information included in the accountability data.

L’impresa: che cos’è? Visione economica, giuridica e organizzativa. Esercizi svolti.

Elena Ragazzi
Strumenti decisionali per l'impresa. Volume 1 esercizi svoltiThis is the Completed Exercises Book of L’impresa: che cos’è? Visione economica, giuridica e organizzativa, an handbook for engineers and technicians who must make economic decisions. L’impresa: che cos’è? is the first volume of Strumenti decisionali per l’impresa (Decision-making tools for the firm)

2021

Elementi di organizzazione aziendale

Giuseppe Giulio Calabrese
The aim of this publication is to offer students an opportunity to go further than the first and basic concepts taught in non-specialist courses in organizations. This publication updates and integrates the handout Introduction to firm organization and the management of human resources for the university courses of Business Administration and Budget Items at the Polytechnic of Turin. The updates specifically cover Chapters 5, 6 and 7 respectively relating to the management and the organisation of firms, the main business activities and the organisational structures. The integrations come above all from the lessons of the course of Managerial Economics for the university course of Management of the Information and the Business Communication at the University of Turin and the analysis on the organizational models for the product development process, Chapters 8 and 9, relating in particular to the automotive sector. The final revised version required the inclusion of some chapters that contextualized the organizational models in a vision extended to the purposes of the companies, chapter 2, the scenarios of change and resistance, chapter 3, and relations with the environment, chapter 4. KEYWORDS: organizzazione aziendale, funzioni, processi, sviluppo prodotto, firm organization, functions, processes, product development.

L’impresa: che cos’è? Visione economica, giuridica e organizzativa

Elena Ragazzi
Strumenti decisionali per l'impresa. Volume 1This volume is the first part of the text “Decision-making tools for the firm. Handbook for engineers and technicians who must make economic decisions”. It offers guidance to students and professionals who find themselves having to make decisions that affect the economic dimension of the firm. We start from the description of the firm, which has its own characteristics and interacts with other economic agents within a specific law framework. The second step analyses the accounting system as a source of information that can be used to make decisions. Finally, third part presents the criteria to be adopted to correctly take some of the main short and long-term decisions that characterize the management of a business. Many different skills contribute to the functioning of the company and its management; in the same way different disciplinary perspectives are functional analysis and are essential for a complete definition. So, this part, dedicated to the identification of the concept of firm, begins with the economic definition of the company, aimed at framing its role within the general economic context. In this sense, the concept of profit is introduced, as an indicator of the ability to generate value, through the achievement of business objectives and appreciation by the market. In the following chapters, this ideal type will be integrated and concretized through the legal definition of firm and through the description of the organizational forms it assumes.

Una breve introduzione alle tecniche di Data Mining

Greta Falavigna
The aim of this publication is to expose students to use basic tools for the analysis of big amount of data. The first section starts presenting the definition of Data Mining and Knowledge Discovery in Database explaining the more common techniques and listing the main operational applications. A second paragraph illustrates the first three phases preceding the application of Data Mining techniques: Selection/Sampling, Pre-processing/Cleaning and Transformation/Reduction of data. These prelaminar data analysis techniques are essential as the results of the Data Mining models depend on the correctness of the data. The third paragraph presents some applications of methodologies. In this section, the technical aspect has less relevance than the operational one with the aim to explain the use of these techniques. However, the more common Data Mining models are listed and explained. The fourth paragraph is addressed to the Text Mining and Web Mining, which are two methodologies used to analyze texts and websites. This section presents the main problems related to textual analysis and the techniques that can be used to obtain effective searches. Finally, two appendices have been added: the Statistical Appendix reports some technical insights that may be useful for understanding the Data Mining systems; in a second appendix, a Short Glossary containing the main terms related to Data Mining used in the text is proposed.