Universitat Internacional de Catalunya

Business Digital Transformation

Business Digital Transformation
6
14584
2
First semester
OB
Main language of instruction: English

Teaching staff


Dr. COLOMBARI, Ruggero - rcolombari@uic.es

Introduction

Digital Transformation will present the information systems, techniques and methodologies used by current organizations to be more competitive in a global, competitive and hyper-connected market, as well as classify the objectives and use of these systems. All departments in an organization could be improved through digital transformation, we will see how logistics or finance can be simplified, even strategic management decisions based on advanced forecasting and data processing systems. In addition, the digital environment has facilitated the relationship with customers, new channels such as social networks, e-markets and mobile applications make new digital age managers able to understand the key indicators of the data collected to improve short, medium and long changes expresses strategies faster than ever.

The course has a practical part where you will carry out the development of content that applies to the digital transformation of the company and the tools used, such as analytical tools or content manager (CMS)

Competences/Learning outcomes of the degree programme

  • 03 - To select and adequately apply applicable accounting alternatives.
  • 05 - To understand the functions of corporate finance departments.
  • 10 - To identify long-term economic growth factors and understand the impact of globalisation.
  • 14 - To be familiar with and understand the legal framework of trade law and be able to apply it in practical cases related to the business world.
  • 19 - To analyse quantitative financial variables and take them into account when making decisions.
  • 24 - To be able to carry out a financial, social and historical analysis of the environment in which a company operates.
  • 32 - To acquire problem solving skills based on quantitative and qualitative information.
  • 36 - To interpret quantitative and qualitative data and apply mathematical and statistical tools to business processes.
  • 37 - To be able to apply managerial methods, tools and techniques.
  • 39 - To acquire the ability to solve problems and make decisions based on relevant information, applying the appropriate methods and situating the problem within the organisation as a whole.
  • 41 - To be able to descriptively summarise information.
  • 46 - To acquire the ability to understand and participate in conferences and lectures in an academic context.
  • 51 - To develop decision making skills.
  • 53 - To acquire the skills necessary to learn autonomously.
  • 64 - To be able to plan and organise one's work.
  • 65 - To acquire the ability to put knowledge into practice.
  • 67 - To be able to express oneself in other languages.

Syllabus

  • 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

Evaluation systems and criteria

In person




50% Practice 

  • 25% Part 1 (Modules 1 and 2)
    • 12.5% 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)
    • 12.5% 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)
    • 12.5% 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)
    • 12.5% 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 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 >=4
  2nd call exam
  • To be taken in June if:
    • Mid-term exam still <4
    • Final exam <4
    • Overall average lower than 5 (for example: Theory exams marks are 4.0, but Practice marks are lower than 6.0)
  • 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

Bibliography and resources

  • 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

       

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