Unit

Course
Economics and management of sustainable development
Study-unit Code
A006034
Location
TERNI
Curriculum
In all curricula
Teacher
Loris Lino Maria Nadotti
CFU
15
Course Regulation
Coorte 2025
Offered
2025/26
Type of study-unit
Obbligatorio (Required)
Type of learning activities
Attività formativa integrata

Code A005889
Location TERNI
CFU 3
Teacher Loris Lino Maria Nadotti
Teachers
  • Loris Lino Maria Nadotti
Hours
  • 24 ore - Loris Lino Maria Nadotti
Learning activities Caratterizzante
Area Discipline aziendali
Academic discipline SECS-P/11
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The course aims to analyze advanced tools and techniques of responsible and sustainable financial management in enterprises, focusing on the following topics: the determination of financial requirements and business growth: the analysis of sustainable development. The analysis of management and financing tools for working capital and fixed capital needs.
Reference texts L. Nadotti (a cura di), Finanziamenti d’impresa, Milano, Mc Graw-Hill Education - Create, 2017.
Educational objectives A student who has passed the examinations is able to understand the basic techniques of corporate financial management.
Prerequisites In order to understand the course content and achieve the objectives of learning for both students attending, and for those not attending it is important to know: the basic concepts of political economy, business economics, economics of financial intermediaries an financial instruments; the basics of reading and analysis of company financial statements; the basics of financial mathematics (interest, discount, present value, amortization schedules);the basic concepts of private law, contracts and obligations, commercial and corporate law.
Teaching methods Theoretical lessons and practical training; Seminars
Other information Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. Student service hours: Wednesday 10:00 - 13:00. Attendance of lessons optional but strongly recommended.
Learning verification modality Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The oral exam consists of three open questions that have the function of admission to the oral test held on the same day or in the days immediately following. For students who attend the lessons, a mid-term practical test will be scheduled during the April 2026 study break, the results of which will compete for the overall assessment of exams conducted by July 2026. Information on support services for students with disabilities and/or DSA can be found at http://www.unipg.it/disabilita-e-dsa
Extended program Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. Tasks and development of the finance function in enterprises. The development of the finance function. The financial function in small and medium-sized enterprises; financial shortcomings and competitiveness in small and medium-sized enterprises.
Obiettivi Agenda 2030 per lo sviluppo sostenibile Responsible and sustainable finance; ESG factors in corporate financial management; the taxonomy of sustainable finance; ESG scoring and the evaluation of investments according to ESG criteria; EUROPEAN UNION guidelines and sustainable finance;

Code A005890
Location TERNI
CFU 3
Teacher Loris Lino Maria Nadotti
Teachers
  • Loris Lino Maria Nadotti
Hours
  • 24 ore - Loris Lino Maria Nadotti
Learning activities Caratterizzante
Area Discipline aziendali
Academic discipline SECS-P/11
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The course aims to analyze advanced tools and techniques of responsible and sustainable financial management in enterprises, focusing on the following topics: fund raising for start-up's.
Reference texts Nadotti L., Gallo M., Martelli D., Vannoni V., Il finanziamento delle star-tup innovative, Torino, ISEDI – De Agostini Scuola, 2023.
Educational objectives A student who has passed the examinations is able to understand the basic techniques of corporate financial management, understand and evaluate information from financial markets, and understand financial phenomena from the perspective of ESG sustainability.
Prerequisites In order to understand the course content and achieve the objectives of learning for both students attending, and for those not attending it is important to know: the basic concepts of political economy, business economics, economics of financial intermediaries an financial instruments; the basics of reading and analysis of company financial statements; the basics of financial mathematics (interest, discount, present value, amortization schedules);the basic concepts of private law, contracts and obligations, commercial and corporate law.
Teaching methods Theoretical lessons and practical training; Seminars
Other information Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. Student service hours: Wednesday 10:00 - 13:00. Attendance of lessons optional but strongly recommended.
Learning verification modality Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The oral exam consists of three open questions that have the function of admission to the oral test held on the same day or in the days immediately following. For students who attend the lessons, a mid-term practical test will be scheduled during the April 2026 study break, the results of which will compete for the overall assessment of exams conducted by July 2026. Information on support services for students with disabilities and/or DSA can be found at http://www.unipg.it/disabilita-e-dsa
Extended program The financing of enterprise innovations. Capital increases and the valuation of "intangibles." Research and innovative start-ups. The financing of innovation. The Italian discipline of innovative startups. Research spin-offs and support and incubation services in Italy. Drafting and use of business plans for startups.
Obiettivi Agenda 2030 per lo sviluppo sostenibile Responsible and sustainable finance; ESG factors in corporate financial management; the taxonomy of sustainable finance; ESG scoring and the evaluation of investments according to ESG criteria; EUROPEAN UNION guidelines and sustainable finance.

Code A005888
Location TERNI
CFU 3
Teacher Loris Lino Maria Nadotti
Teachers
  • Loris Lino Maria Nadotti
Hours
  • 24 ore - Loris Lino Maria Nadotti
Learning activities Caratterizzante
Area Discipline aziendali
Academic discipline SECS-P/11
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The course aims to analyze advanced tools and techniques of responsible and sustainable financial management in enterprises, focusing on the following topics: responsible and sustainable finance; ESG factors in corporate financial management; the taxonomy of sustainable finance; ESG scoring and the evaluation of investments according to ESG criteria; EUROPEAN UNION guidelines and sustainable finance
Reference texts AA. VV., La Finanza per lo sviluppo sostenibile, Roma, CONSOB, Giugno 2021 (https://www.consob.it/web/consob-and-its-activities/abs_sf/-/asset_publisher/coLw917vXYH5/content/fs1/11973.) AA. VV., Finanza verde: regole, opportunità, rischi, Milano, ASSBB – Università Cattolica del Sacro Cuore, Osservatorio Monetario 1/2020 (https://www.assbb.it/osservatorio-monetario/) Other teaching materials made available during the course on the Unistudium web platform.
Educational objectives A student who has passed the examinations is able to understand the basic techniques of corporate financial management, understand and evaluate information from financial markets, and understand financial phenomena from the perspective of ESG sustainability.
Prerequisites In order to understand the course content and achieve the objectives of learning for both students attending, and for those not attending it is important to know: the basic concepts of political economy, business economics, economics of financial intermediaries an financial instruments; the basics of reading and analysis of company financial statements; the basics of financial mathematics (interest, discount, present value, amortization schedules);the basic concepts of private law, contracts and obligations, commercial and corporate law.
Teaching methods Theoretical lessons and practical training; Seminars
Other information Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. Student service hours: Wednesday 10:00 - 13:00. Attendance of lessons optional but strongly recommended.
Learning verification modality Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The oral exam consists of three open questions that have the function of admission to the oral test held on the same day or in the days immediately following. For students who attend the lessons, a mid-term practical test will be scheduled during the April 2026 study break, the results of which will compete for the overall assessment of exams conducted by July 2026. Information on support services for students with disabilities and/or DSA can be found at http://www.unipg.it/disabilita-e-dsa
Extended program Students from master's degree programs in the Perugia campus of the Department of Economics are required to contact the lecturer in advance to agree on a specific examination program to avoid duplication of content with other courses. The finance function in start-up enterprises. responsible and sustainable finance; ESG factors in corporate financial management; the taxonomy of sustainable finance; ESG scoring and the evaluation of investments according to ESG criteria; EUROPEAN UNION guidelines and sustainable finance.
Obiettivi Agenda 2030 per lo sviluppo sostenibile Responsible and sustainable finance; ESG factors in corporate financial management; the taxonomy of sustainable finance; ESG scoring and the evaluation of investments according to ESG criteria; EUROPEAN UNION guidelines and sustainable finance.

Code A005891
Location TERNI
CFU 3
Teacher David Aristei
Teachers
  • David Aristei
Hours
  • 24 ore - David Aristei
Learning activities Caratterizzante
Area Discipline statistiche e matematiche
Academic discipline SECS-S/03
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents This part of the course is focused on The linear regression model, used for analysing causal relationships between variables and making forecasts
Reference texts Main textbook:
- Bracalente B., Cossignani M., Mulas A.: “Statistica Aziendale”, McGraw-Hill, Milano 2009.
- Biggeri L., Bini M., Coli A., Grassini L., Maltagliati M.: “Statistica per le decisioni aziendali”, 2/Ed., Pearson, Milano 2017

Additional suggested textbook:
- Bassi, F., Ingrassia, S.: “Statistica per analisi di mercato. Metodi e strumenti”, Pearson, Milano 2022.
- Stock, J.H., Watson, M.W.: Introduzione all’econometria”, 5/Ed., Pearson, Milano 2020

Class slides and materials used during the laboratory sessions will be distributed through the UniStudium e-larning platoform
Educational objectives This course will introduce students to the most relevant statistical methods for business analysis.

In particular, theoretical lectures will be focused on the presentation of regression models for the analysis of economic and business data.

Specific attention will be also devoted to on empirical applications. Every week there will be a practical laboratory session in which students will apply concepts learned during the theoretical lectures, using statistical software.
Prerequisites This course requires basic knowledge of descriptive and inferential statistics and probability theory.
Teaching methods Face-to-face lessons completed with practical laboratory activities
Other information Attending students are to complete some (non-compulsory) take-home assignments
Learning verification modality Written examination

After grading, the instructor reserves the right to invite the student for an additional oral examination.

Extended program 1) Introduction to business statistics
Data sources for business analysis

2) Data analysis: measures of association
Pearson’s linear correlation coefficient
Inference of association measures

3) The linear regression model
Simple and multiple regression models
Parameters estimation by ordinary least squares
Goodness-of-fit
Hypothesis testing
Prediction
Diagnostic analyses: non-linearity, heteroscedasticity and multicollinearity issues

Obiettivi Agenda 2030 per lo sviluppo sostenibile 4, 8, 9, 12

Code A005892
Location TERNI
CFU 3
Teacher David Aristei
Teachers
  • David Aristei
Hours
  • 24 ore - David Aristei
Learning activities Caratterizzante
Area Discipline statistiche e matematiche
Academic discipline SECS-S/03
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents This part of the course is focused on regression models for binary dependent variables
Reference texts Main textbook:
- Bracalente B., Cossignani M., Mulas A.: “Statistica Aziendale”, McGraw-Hill, Milano 2009.
- Biggeri L., Bini M., Coli A., Grassini L., Maltagliati M.: “Statistica per le decisioni aziendali”, 2/Ed., Pearson, Milano 2017

Additional suggested textbook:
- Bassi, F., Ingrassia, S.: “Statistica per analisi di mercato. Metodi e strumenti”, Pearson, Milano 2022.
- Stock, J.H., Watson, M.W.: Introduzione all’econometria”, 5/Ed., Pearson, Milano 2020

Class slides and materials used during the laboratory sessions will be distributed through the UniStudium e-larning platoform
Educational objectives This course will introduce students to the most relevant statistical methods for business analysis.

In particular, theoretical lectures will be focused on the presentation of regression models for the analysis of economic and business data.

Specific attention will be also devoted to on empirical applications. Every week there will be a practical laboratory session in which students will apply concepts learned during the theoretical lectures, using statistical software.
Prerequisites This course requires basic knowledge of descriptive and inferential statistics and probability theory.
Teaching methods Face-to-face lessons completed with practical laboratory activities
Other information Attending students are to complete some (non-compulsory) take-home assignments
Learning verification modality Written examination

After grading, the instructor reserves the right to invite the student for an additional oral examination.

Extended program Regression models for binary dependent variables
The linear probability model
The logistic regression (logit) model
Estimation of logit parameters
Interpretation of results and inference
Predicted probabilities
Measures of goodness-of-fit
Obiettivi Agenda 2030 per lo sviluppo sostenibile 4, 8, 9, 12
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