Universitat Internacional de Catalunya

Transformació Digital de l'Empresa

Transformació Digital de l'Empresa
6
14584
2
Primer semestre
OB
Llengua d'impartició principal: anglès

En cas què l'alumne estigui matriculat en la línia anglesa s'impartirà la docència d'aquesta assignatura en aquest idioma.

Professorat


Sra. INETSKAYA, Anna - ainetskaya@uic.es

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 - 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
  • Security and 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
  • IT technologies in the company
  • Industry 4.0 technologies (VR, IoT, etc.)
  • Web 3.0 and future technologies (Blockchain, NFT/tokenization, etc.)

 

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 presentation
      • Weighted by individual contribution (based on teacher observation + peer-to-peer evaluation)
    • 15% In-class activities
      • Evaluated from 0 to 10
      • Activities related to the group project
      • 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 presentation 
      • Weighted by individual contribution (based on teacher observation + peer-to-peer evaluation)
    • 15% In-class activities
      • In-class activities evaluated from 0 to 10
      • Activities related to the group project
      • 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
    • Format: mostly multiple-choice questions, some open questions
    • Evaluation range: from 0 to 10
    • A mark of 5/10 in this exam is mandatory to pass the course
      • In case of a 4.9 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 1h 40m if including mid-term retake)
    • Format: mostly multiple-choice questions, some open questions
    • Evaluation range: from 0 to 10
    • A mark of 5/10 in this exam is mandatory to pass the course
      • In case of mid-term retake, both parts must be equal or higher than 5
  2nd call exam 
  • To be retaken in June if: 
    • Mid-term exam still lower than 5/10
    • Final exam lower than 5/10
    • Overall average lower than 5/10
  • Content: 
    • Theory: both mid-term exam's and final exam's content
      • Duration: 1h40
      • Format: mostly open questions, some multiple-choice questions
    • Practice: oral presentation of the Group Project (individual)
      • additional questions can be asked about both the project and the written exam (for instance, justifying answers, also an occasion to improve unclear explanations), and evaluated
      • this oral evaluation can increase or decrease the written Exam mark
  • Grade policy
    • This new examination will account for the 100% of your grade (any partial/final mark obtained during the course is "lost")
    • The max. grade obtainable in the 2nd call is 7 (normativa UIC)
 

Bibliografia i recursos

  • Business model generation: a handbook for visionaries, game changers, and challengers - Osterwalder, A., & Pigneur, Y., publisher: John Wiley & Sons, 2010. ISBN: 9780470876411 

  • Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy - Brynjolfsson, E., & McAfee, A., publisher: Brynjolfsson and McAfee, 2012. ISBN: 9780984725113

  • The second machine age: Work, progress, and prosperity in a time of brilliant technologies - Brynjolfsson, E., & McAfee, A., publisher: WW Norton & company, 2014. ISBN: 9780393239355

  • Shaping the Fourth Industrial Revolution - Schwab, K.; Davis, N., Geneva: World Economic Forum, 2018. ISBN: 9780241366394
 
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