Universitat Internacional de Catalunya
Transformació Digital a l'Empressa
Altres llengües d'impartició: català, castellà
Professorat
Presentació
Understanding how digital technologies work is crucial for mastering them to enhance business performance and remain competitive in today’s rapidly evolving landscape. The Business Digital Transformation course provides the necessary knowledge and skills to effectively navigate and leverage these technologies. The course covers the digital economy, exploring new business models, the sharing economy, and the increasing prominence of online platforms, e-commerce, and mobile apps. It examines how businesses innovate through smartification, mass customization, and digital servitization, while also delving into the application of Artificial Intelligence in business, including Machine Learning, Deep Learning, and Generative AI, alongside the ethical implications of these technologies. The focus extends to digitalization and data analytics, addressing Big Data, data-driven decision-making, and essential business intelligence skills, with practical applications using tools such as Excel and data mining. Furthermore, the course investigates the impact of advanced technologies like ERP, CRM, Industry 4.0, and Web 3.0 on business processes and future innovations. Throughout the course, concepts are applied to a group project, integrating business intelligence tools and techniques, ensuring practical experience in leading digital transformation within organizations.
Competències/Resultats d’aprenentatge de la titulació
- 03 - Seleccionar i aplicar adequadament les alternatives comptables permeses.
- 05 - Conèixer les funcions pròpies dels departaments de finances en les empreses.
- 10 - Identificar els factors del creixement econòmic a llarg termini i comprendre l'impacte de la globalització.
- 14 - Conèixer i comprendre el marc legal del dret mercantil i ser capaç d'aplicar-lo a casos pràctics del món de l'empresa.
- 19 - Analitzar variables quantificables de l'entorn econòmic i incorporar-les en la presa de decisions.
- 24 - Ser capaç de desenvolupar una anàlisi del medi econòmic, social i històric en el qual se situa l'empresa.
- 32 - Adquirir habilitats en la resolució de problemes a partir d'informació quantitativa i qualitativa.
- 36 - Ser capaç d'interpretar dades quantitatives i qualitatives i d'emprar eines matemàtiques i estadístiques aplicables a processos empresarials.
- 37 - Tenir capacitat per aplicar tècniques, mètodes i eines de gestió.
- 39 - Adquirir habilitats en la resolució de problemes i en la presa de decisions: emprar la informació rellevant, aplicar els mètodos adequats i situar el problema dins el conjunt d'una organització.
- 41 - Ser capaç de sintetitzar descriptivament la informació.
- 46 - Adquirir la capacitat d'entendre i participar en conferències o classes magistrals en un context acadèmic.
- 51 - Desenvolupar aptituds en la presa de decisions.
- 53 - Adquirir habilitats per a l'aprenentatge autònom.
- 64 - Capacitat de planificació i organització del treball.
- 65 - Adquirir la capacitat de posar en pràctica els coneixements.
- 67 - Adquirir capacitat per expressar-se en altres idiomes.
Continguts
Module 1 - Business Digital Transformation
- Digital economy and new business models
- Sharing economy and digital platforms
- Online marketplaces, e-commerce and mobile apps
- New products: smartification, mass customization, digital servitization
Module 2 - Artificial Intelligence
- AI applications in business
- Machine Learning and Deep Learning
- Generative AI: tools for business and prompt engineering
- Ethics of AI
Module 3 - Digitalization and data analytics
- Big Data and Data Science
- Data, Information, Knowledge
- Data-driven Decision-Making
- Digital skills for Business Intelligence (Excel, data mining, etc.)
Module 4 - Digitization and digital technologies
- Information Systems, ERP, CRM
- Industry 4.0 technologies
- Web 3.0 and future technologies
Sistemes i criteris d'avaluació
Modalitat totalment presencial a l'aula
50% Practice
- 25% Part 1 (Modules 1 and 2)
- 10% Group project presentation
- Mid-term project presentation (including home-based improvement of work done in class)
- Weighted by individual contribution (based on observation and a peer-to-peer evaluation)
- 15% In-class activities
- In-class activities evaluated from 0 to 10
- Activities related to the group project
- Case studies
- Weighted individually (e.g., if a group gets an 8, the member who is absent that day gets a 0)
- 25% Part 2 (Modules 3 and 4)
- 10% Group project presentation
- Final project presentation (including home-based improvement of work done in class)
- Weighted by individual contribution (based on observation and a peer-to-peer evaluation)
- 15% In-class activities
- In-class activities evaluated from 0 to 10
- Activities related to the group project
- Case studies
- Weighted individually (e.g., if a group gets an 8, the member who is absent that day gets a 0)
50% Theory
- 25% Mid-term exam
- Content: half-course (Modules 1 and 2)
- Duration: approx. 50 minutes
- Evaluation range: from 0 to 10
- A mark of 4/10 in this exam is mandatory to pass the course
- In case of a 3.9 mark or lower, there will be the possibility to re-take it on the day of the Final Exam (therefore, approx. 50+50 mins)
- 25% Final exam
- Content: half-course (Modules 3 and 4)
- Duration: approx. 50 minutes
- or 1h40 if including mid-term retake
- Evaluation range: from 0 to 10
- A mark of 4/10 in this exam is mandatory to pass the course
- In case of mid-term retake, both parts must be higher than 4
2nd call exam
- To be retaken in June if:
- Mid-term exam still
- Final exam
- Overall average
- Content:
- Theory: both mid-term exam's and final exam's content
- Individual assignments to be submitted if Practice marks were
- Duration: 1h40
- Max. mark: 7
Bibliografia i recursos
- Sistemas de información: herramientas prácticas para la gestión empresarial - Gómez Vieites, Á.; Suárez Rey, C, Ra-Ma, 2011. ISBN: 9788499641225
- Sistemas de información gerencial - Laudon, K.C.; Laudon, J.P, Pearson Educación, 2016. ISBN: 9786073236966
- Management information systems: text and cases - Jawadekar, W.S, McGraw-Hill, 2011. ISBN: 9780070146624
- Management information systems - O'Brien, J.A.; Marakas, G.M, McGraw-Hill/Irwin, 2011. ISBN: 9780071221092
- Shaping the Fourth Industrial Revolution - Schwab, K.; Davis, N., Geneva: World Economic Forum, 2018. ISBN: 9780241366394