ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Hours of tutorials: 1 Expository Class: 20 Interactive Classroom: 30 Total: 51
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Financial Economics and Accounting
Areas: Financial Economics and Accounting
Center Higher Technical Engineering School
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable
The objective of this course is to provide students the knowledge and skills necessary to develop and evaluate business projects based on artificial intelligence. Throughout the course, students will learn to design solid business plans, starting from an initial idea that will become a structured project, analysing key aspects such as team formation, market analysis, competition, and the definition of an effective competitive strategy. Economic and financial viability analysis will also be addressed, enabling students to build evaluation models that facilitate decision-making by applying scenario analysis and simulation techniques to manage risk. In the startup domain, specific valuation methods will be explored, such as discounted cash flows, the Berkus method, multiples, and venture capital, adapted to different development stages. Finally, the course will delve into available financing options for innovative projects, from bootstrapping and non-dilutive financing to funding rounds through venture capital, crowdfunding, and debt instruments. Students will understand how to structure and negotiate funding rounds, managing critical aspects such as pre- and post-money valuation, term sheet terms, due diligence process, and shareholders' agreement.
1. The business plan of an IA project.
1.1. The business idea
1.2. The team
1.3. The market analysis
1.3.1. Commercial viability
1.3.2. Competitors and providers
1.3.3. Competitive strategy: product, business model, price, demand estimation.
1.4. SWOT analysis
1.5. Sustainability
1.6. Technical study
1.7. Operational plan
1.8. Financial plan
1.9. Business plan
2. Economic and financial viability analysis
2.1. Economic and financial evaluation process
2.2. Step-by-step construction of an easy evaluation model
2.3. Advanced economic-financial evaluation models
2.4. Assessment of innovative projects
2.5. Analysis of risk employing scenarios
2.6. Analysis of risk employing simulation
3. Valuation methods for startups
3.1. Startup development stages
3.2. Startup valuation
3.3. Startup investment criteria
3.4. Alternative valuation methods: discount cash flow, Berkus, multiples and venture capital
3.5. Valuation analysis by sectors and development analysis.
4. Project financing
4.1. Startup lifecycle and financing
4.2. Bootstrapping financing
4.3. Non-dilutive financing: venture capital, crowdfunding and ICO
4.4. Dilutive financing: convertible notes, participatory loans and bounds.
5. Financing through funding rounds
5.1. Pre-money, post-money and dilution valuation
5.2. Steps to raise a funding round.
5.3. Term sheet.
5.4. Due diligence
5.5. Shareholders´ agreement
All necessary materials for preparing this course will be made available in the virtual classroom. For some topics, specific bibliography will be proposed from the following manuals (BB indicates general manuals on Business Economics):
Damodaran, A. (2011). The Little Book of Valuation: How to Value a Company, Pick a Stock and Profit. Wiley.
De Toro (2022): Rondas de Financiación: Método para financiar el crecimiento de tu empresa.ISBN: 978-84-18-37284-1
del Barrio, A. G. (2020, 28 octubre). IEDGE – Método de los beneficios descontados. IEDGE Business School. https://www.iedge.eu/aurelio-garcia-del-barrio-metodo-de-los-beneficios…
Díaz-Leante, E. B. (2020). MODELOS DE VALORACIÓN DE STARTUPS. Universidad Pontificia Comillas
Gómez Gras, J.M., et al (2012). “Manual de casos sobre creación de empresas en España”. Ed. McGraw- Hill.
Hoyos Iruarrizaga, J. (2022): “Plan Financiero para Start ups”. ESIC editorial, 2022.
Mendelson, J. Y Feld, B (2015). Como cerrar rondas de financiación con éxito. Wiley.2015.
Montani, D., Gervasio, D., & Pulcini, A. (2020). Startup Company Valuation: The State of Art and Future Trends. International Business Research, 13(9), 31.
Partal Ureña, A. et al (2020): “Introducción a las finanzas empresariales” (3ª ed.). Ediciones Pirámide.
Razgaitis, R.(2003): Valuation and Pricing of Tecnology based intellectual property, John Wiley, 2003
Rodríguez Sandiás, A (2013): Modelos de Análisis y Valoración de Proyectos, ed. Andavira, 2013
Roig, A., & Vicén, C. (2020). Startup Valuation. HEC Paris.
Rouhiainen, L. (2021): “Inteligencia artificial para los negocios”. Social Business.
BASIC AND GENERAL:
CG2 - Ability to solve problems with initiative, decision-making, autonomy, and creativity.
CB1 - Students have demonstrated knowledge and understanding in a field of study that builds upon general secondary education and is typically at a level that, while supported by advanced textbooks, also includes some aspects involving knowledge from the forefront of their field of study.
CB2 - Students can apply their knowledge to their work or vocation in a professional manner and possess the competencies usually demonstrated through the development and defense of arguments and problem-solving within their field of study.
SPECIFICS:
CE9 - Ability to define and interpret the fundamentals of organizations, basic aspects of their organization and management, the innovation process and its management, their different functional areas, and their socioeconomic environment.
CE10 - Understand new business and innovation models within the framework of companies based on artificial intelligence and its technologies.
CE11 - Ability to design and create economic-financial valuation models of projects using appropriate informatic or software tools.
TRANSVERSAL:
TR1 - Ability to communicate and convey their knowledge, skills, and abilities.
TR3 - Ability to create new models and solutions autonomously and creatively, adapting to new situations. Initiative and entrepreneurial spirit.
TR4 - Ability to introduce a gender perspective in models, techniques, and solutions based on artificial intelligence.
TR6 - Ability to integrate legal, social, environmental, and economic aspects inherent to artificial intelligence, analysing their impacts, and committing to seeking solutions compatible with sustainable development.
Lecture sessions: Magistral lesson. Teacher presents theoretical content and how it enables problem-solving or exercises. The aim is to convey knowledge that will serve as a foundation for application in laboratory classes, encouraging greater student involvement.
Interactive sessions: Seminar-type or computer-based classes. These classes will be conducted in smaller groups and aim to review texts related to the course content, develop practical group cases, or solve exercises using spreadsheet tools.
The assessment system includes two parts:
a. CONTINUOUS ASSESSMENT: 80% of the final grade. It includes the development of a business plan, a financial model, and the preparation of a presentation. All these activities will be detailed in the classroom and will primarily assess specific competencies CE10 and CE11, as well as transversal competencies. The submission of the business plan, the financial model, and the presentation will take place during the penultimate week of classes.
b. FINAL EXAM: 20% of the final grade: The exam will be test. It will assess the basic and general competencies, as well as the specific competency CE9. To pass the course, students must obtain a minimum of 40% of the maximum exam score, i.e., 4 out of 10 points. If this minimum is not achieved, the continuous assessment grade will not be added, and the final grade will be the exam score.
c. CLASS ATTENDANCE. It is mandatory, but no grade will be awarded for attendance in the final evaluation.
SECOND OPPORTUNITY: The exam will have a structure like that of the first opportunity, and the final grade composition will remain the same.
Students will receive a “NOT PRESENTED” grade if they do not attend the final exam in either of the two opportunities, regardless of the grade obtained in the continuous assessment.
REPEATING STUDENTS: If a minimum of 2.5 out of 5 has been achieved in the continuous assessment, it may be carried over to the following academic year.
In cases of fraudulent conduct in practical activities or exams, the provisions of the "Regulations on Academic Performance Assessment and Grade Review" will apply.
Classroom hours:
Lectures: 20,0 h
Interactive classes: 30,0 h
Tutorials 1,0 h
Total 51,0 hours of face-to-face work in the classroom
Hours of student work:
Individual or group self-study: 45h
Tasks/exercises/projects: 45h
Recommended readings, library activities, etc.: 5h
Preparation of oral presentations, debates, or similar: 4h
Total 99,0 hours of student independent work
Regular attendance in class. PUNTUALITY.
Basic proficiency in MS Office (Windows 365).
Classes are developed in Galician and Spanish languagues
The use of the virtual campus is recommended, since it will be the focus of all the activities that will be carried out in the subject, as well as the MS teams if will be necessary for questions.
Luis Alberto Otero González
Coordinador/a- Department
- Financial Economics and Accounting
- Area
- Financial Economics and Accounting
- Phone
- 881811656
- luis.otero [at] usc.es
- Category
- Professor: University Professor
Martiño Castiñeira Carracedo
- Department
- Financial Economics and Accounting
- Area
- Financial Economics and Accounting
- martino.castineira.carracedo [at] usc.es
- Category
- Professor: Temporary supply professor for IT and others
| Tuesday | |||
|---|---|---|---|
| 15:30-17:30 | Grupo /CLIL_02 | Spanish | IA.01 |
| 17:30-18:30 | Grupo /CLE_01 | Spanish | IA.01 |
| 05.19.2026 16:00-20:00 | Grupo /CLIL_02 | IA.01 |
| 05.19.2026 16:00-20:00 | Grupo /CLIL_01 | IA.01 |
| 05.19.2026 16:00-20:00 | Grupo /CLE_01 | IA.01 |
| 06.26.2026 16:00-20:30 | Grupo /CLE_01 | IA.11 |
| 06.26.2026 16:00-20:30 | Grupo /CLIL_02 | IA.11 |
| 06.26.2026 16:00-20:30 | Grupo /CLIL_01 | IA.11 |