Checking date: 19/05/2024


Course: 2024/2025

Entrepreneurship in AI
(19225)
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)
EPI


Coordinating teacher: NIETO SANCHEZ, MARIA JESUS

Department assigned to the subject: Mechanical Engineering Department

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
No requirements
Objectives
OBJECTIVES: - To know the complex process associated with the development of an AI-based product or service, from its conception to the planning, start-up and new venturing - To know the basic elements of the firm and develop ethical behavior and social responsibility - To assimilate the concepts and develop the entrepreneurial skills to discover and lead AI-based innovations. - To know the phases for the creation of a new company or to promote entrepreneurship in companies.
Skills and learning outcomes
Description of contents: programme
1. Entrepreneurship: from the opportunity to the new venture 2. Business ideas: Innovation and creativity techniques 2.1. Technological trends in entrepreneurship: AI, IoT, 5G, etc. 2.2. Innovation methodology: Design Thinking 3. Ideation Workshop. AI solutions for real problems. 4. Business model. Business Model Canvas 5. Lean Startup Methodology. The Minimum Viable Product 6. Business plan: design, structure and purpose. 7. Finance for entrepreneurs: startup financing and accounting basic concepts 8. Legal aspects and Protection of innovation 9. Communication techniques
Learning activities and methodology
Theorical class Practical theoretical classes Tutorials Team work Individual student work Exams METHODOLOGIES MD1 Presentations with the support of computer media and audiovisuals, in which the main concepts of the subject and the bibliography is provided to complement the student learning. MD2 Critical reading of texts recommended: Press articles, reports, manuals and/or academic articles, either for later discussion in class, or to expand and consolidate knowledge of the subject. MD3 Resolution of practical cases, problems, etc.... individually or in a group MD4 Presentation and discussion in class, under the moderation of the professor, about topics related to the contents, as well as practical cases MD5 Preparation of work and reports individually or in groups
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70

Calendar of Continuous assessment


Basic Bibliography
  • Rodríguez Márquez, A., Nieto, M.J, Fernández, Z., Revilla, A. . Manual de creación de empresas. De la oportunidad a la puesta en marcha.. Civitas. (2014)
Additional Bibliography
  • Langa. B. . Creación de Modelos de Negocio de éxito basados en Inteligencia Artificial . Independently published. (2017)
  • Osterwalder, A. y Pigneur, Y. . Generación de Modelos de Negocio. Deusto . (2011)
  • Ries E. . El método de Lean Startup: Cómo crear empresas de éxito utilizando la innovación continua. Ediciones Deusto. (2011)

The course syllabus may change due academic events or other reasons.