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 |
|
Hours |
|
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 |
|
Hours |
|
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 |
|
Hours |
|
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 |
|
Hours |
|
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 |
|
Hours |
|
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 |