Teaching plan for the course unit

 

 

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General information

 

Course unit name: Business Information Systems for Management

Course unit code: 363675

Academic year: 2025-2026

Coordinator: Jorge Bachs Ferrer

Department: Department of Business

Credits: 6

Single program: S

 

 

Estimated learning time

Total number of hours 150

 

Face-to-face and/or online activities

60

 

-  Lecture with practical component

Face-to-face

 

30

 

-  Problem-solving class

Face-to-face

 

30

Supervised project

30

Independent learning

60

 

 

Competences / Learning outcomes to be gained during study

 

   -

To be able to interpret the development and changes in an environment.

   -

8T-TRANSV. Creative and entrepreneurial skills.

   -

3T-TRANSV. Ability to work independently and take decisions.

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12G-GENERAL. Theoretical and practical understanding of the basic aspects of economics and human resource management, project planning and organization, and the general legislation, regulations and standards applicable to computer projects.

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To be able to make financial and business decisions, taking into account the current economic situation.

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To analyse business organizations and their environment to identify key aspects.

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To identify the economic agents that make up an economy and to understand how they interrelate so as to take economic decisions with full awareness of their effects.

Learning objectives

 

Referring to knowledge

— Become aware of new information management systems.

— Understand that the management of information today is basic for decision-making.

— Know what information systems can provide as value to the organization.

— Describe and understand a balanced scorecard (BSC) and its basic key performance indicators (KPI).

— Know the methodology for business decisions-making today and with uncertainty.

— Analyse which aspects need to be considered before implementing an information system (IS), using project management methodology and functional analysis.

— Learn the concepts of social media, big data and business intelligence. Artificial intelligence (AI) as a work and decisional tool.

 

Premise: this is not a computer science subject, and therefore no prior knowledge of computer science is required.

 

 

Teaching blocks

 

1. Digital transformation — decision-making, CIO, business intelligence, big data and cloud computing

*  
1.0. Digital transformation of companies. Connected Industry 4.0. Internet of Things (IoT)
1.1. CEO and CIO: leaders of the company’s digital transformation
1.2. Digital knowledge management. Data and information
1.3. Decision-making in the current business environment. Tools and processes
1.4. Business intelligence (BI), big data and cloud computing 

2. Information systems: decision levels, competitive advantages and economic considerations

*  
2.1. Information systems as a key element in the future of organizations. Process management
2.2. Information systems as a source of competitive advantages for companies
2.3. Information systems and decision levels
2.4. Economic considerations: cost–benefit analysis, profitability, TCO

3. Technical elements, integrated management systems and data mining

*  
3.1. Technical elements of information systems
3.2. Automatic management systems: ERP, CRM, SCM, workflow
3.3. Decision support systems: data mining 

4. Implementation of an information system

*  
4.1. Functional analysis of processes, flowcharts and project management
4.2. Elaboration of a balanced scorecard (BSC) and key performance indicators (KPIs)
4.3. Business information security management. Cybersecurity
4.4. Life cycle and phases in the implementation of an ERP

 

 

Teaching methods and general organization

 

The broad, diverse content of the subject needs varied support of teaching tools. The methodology is based mainly on face-to-face lectures and practical sessions. They are designed to teach knowledge with the support of ad hoc presentations on the topics, notes derived from the classes, videos of practical cases and complementary reading. This subject is very dynamic and therefore needs to be updated constantly.

Some of the tutorial guidance sessions may be carried out in split subgroups. The schedule for these sessions is announced in class.

The Virtual Campus is used for communication between students and the teaching staff. All the information related to the course and any possible changes that may affect it (assessment rules, important information, etc.) is published here.

 

 

Official assessment of learning outcomes

 

Continuous assessment

Continuous assessment consists of submitting different activities, solving cases or practical activities, and other tests throughout the semester.

At the beginning of the course, students are given more information on what these activities and tests are.

To complete the continuous assessment process, students must complete:

50%: (40% corresponding to two face-to-face exams on knowledge, if possible) + (10% corresponding to participation, class attendance to face-to-face/distance sessions). Passing both exams is a requirement. (A minimum mark of 4.5 in each of them is required.)

— The remaining 50%: (30% corresponding to the group assignment and face-to-face presentation) + (20% corresponding to practical activities completed individually and submitted in class).

All assignments must be submitted and a minimum grade of 4 is required.

(*) Students who submit the first continuous assessment activity are entered for this assessment procedure. The aim is to encourage students to opt for continuous assessment and, in the event that they cannot or do not want to undertake it, to be automatically entered for single assessment.
(**) Depending on the size of the group, the structure of the assignments and practical work may vary.

The content, procedure and criteria for repeat assessment are the same as those described for the single assessment option.

 

Examination-based assessment

Single assessment consists of a final examination worth 100% of the final grade. This exam covers the entire subject and is made up of theoretical or practical short-answer questions.

The content, procedure and criteria for repeat assessment are the same as those described for the single assessment option.

 

 

Reading and study resources

Check availability in Cercabib

Book

ARJONILLA DOMÍNGUEZ, Sixto Jesús.  La Gestión de los sistemas de información en la empresa : teoría y casos prácticos.  3a. ed.  Madrid : Pirámide, 2011

Catāleg UB  Enllaç

BUENO CAMPOS, Eduardo. Dirección estratégica : desarrollo de la estrategia y análisis de casos. Madrid: Pirámide, 2006

Catāleg UB  Enllaç

KAPLAN, Robert S.  El Cuadro de mando integral : The balanced scorecard.  3a. ed. rev.  Barcelona: Gestión 2000, 2016

Catāleg UB  Enllaç

ROBERTS, Paul.  Guía de gestión de proyectos.  Madrid: Gestión 2000, 2008

Catāleg UB  Enllaç

SIEBER, Sandra.  Los Sistemas de información en la empresa actual : aspectos estratégicos y alternativas tácticas.  Madrid: McGraw-Hill, 2010

Catāleg UB  Enllaç