General information


Subject type: Mandatory

Coordinator: Julián Horrillo Tello

Trimester: Third term

Credits: 6

Teaching staff: 

Jose Luis Torres Soto

Teaching languages


The subject will be taught in Catalan. Students will be able to address the teacher in the language that is most comfortable for them. Some contents, transparencies and bibliography will be in English.

Skills


Specific skills
  • CE26: Design management strategies.

Transversal competences
  • CT1: That the students know a third language, which will preferably be English, at an adequate level orally and in writing and in accordance with the needs of graduates in each degree.

  • CT2: That students have the ability to work as members of an interdisciplinary team either as another member, or performing management tasks in order to contribute to developing projects with pragmatism and a sense of responsibility, assuming commitments taking into account the available resources.

Description


Subject framed in the matter of organization of companies. The course aims to introduce students to the basic concepts, principles and foundations of information systems for business management. It describes the new competitive environment and the enablers of the new industrial model: Industry 4.0, paying special attention to technologies applied to management. We also work on the process of digital transformation of the company from a methodological point of view, and business intelligence applications.

As prerequisites for taking the subject, it is recommended that students have passed all the subjects of the first two years of the degree studies.

Learning outcomes


At the end of the subject the student must be able to:

LO5: Identify the basic concepts of strategic management (EC 26).
- LO7: Analyze practical cases, to make a synthesis of possible alternatives (CE 26).
LO9: Recognize the basic concepts of the company and the organization of companies (CE 26).
LO14: Analyze information and make decisions based on business resource planning systems (EC 26).
- LO15: Identify their own information needs and use the collections, spaces and services available to design and carry out appropriate searches (CE 26).
- LO16: Use information and technology to manage a company (CE 26).

Working methodology


Theoretical sessions: master class, lectures, presentations.

Guided learning: seminars, forums and debates, case studies, use of computer tools applied to the subject, visits to real environments.

Autonomous learning: Problem solving, research and critical reading of articles, non-contact tutorials

Contents


Content title 1: Digital Economy and Industry 4.0

Learning time: Large group: 8h, Small group: 4h, Self study: 18h    
Description:

• New socio-economic context. Globalization and internationalization
• Knowledge society
• New industrial model: Industry 4.0
• New economy and digital transformation of the company
• Business process concept
• Information system concept

Related activities:

1- Practical activities. Two laboratory sessions where you will work with the principles of data modeling. The students will have to deliver an independent resolution activity as proposed by the teachers.
2- Exercises of practical application of the concepts exposed in class.
3- Work on a practical case related to the contents exposed in class.
4- Exam: where the concepts acquired by the students will be evaluated.

Content title 2:  Enabling Industry 4.0

Learning time: Large group: 8h, Small group: 4h, Self study: 18h     
Description:

• Digital transformation: vertical integration and horizontal integration
• Hybridization of the physical world and the digital world
• Communications and data processing
• Management and intelligence applications

Related activities:

1- Practical activities. Two laboratory sessions where you will work with the practical implementation with a database management system. The students will have to deliver an independent resolution activity as proposed by the teachers.
2- Exercises of practical application of the concepts exposed in class.
3- Work on a practical case related to the contents exposed in class.
4- Exam: where the concepts acquired by the students will be evaluated.

Content title 3:  Technological support for management

Learning time: Large group: 8h, Small group: 4h, Self study: 18h
Description:

• e-business and e-commerce
• ICTs in the company's value chain (ERP, SCM, CRM, BPM)
• The business processes of the industrial company (MES, PLM)
• Decision support (DSS, EIS, OLAP)
• GIS systems
• Groupware and workflow
• Cyber-security


Related activities:

1- Practical activities. Two laboratory sessions where you will work with the functionalities of the Office 365 platform. The students will have to deliver an autonomous resolution activity as proposed by the teachers.
2- Exercises of practical application of the concepts exposed in class.
3- Work on a practical case related to the contents exposed in class.
4- Exam: where the concepts acquired by the students will be evaluated.

Content title 4:  The process of digital transformation of the company

Learning time: Large group: 8h, Small group: 4h, Self study: 18h
Description:

• New management models: process management and knowledge management (KM)
• Process reengineering
• Methodology for the digitization of business processes: ICT application and process reengineering (transformation of the value chain).
• ICT, Internet and change management
• Equipment and connectivity

Related activities:

1- Practical activities. Two laboratory sessions where you will work with the functionalities of an ERP/CRM solution. The students will have to deliver an independent resolution activity as proposed by the teachers.
2- Exercises of practical application of the concepts exposed in class.
3- Work on a practical case related to the contents exposed in class.
4- Exam: where the concepts acquired by the students will be evaluated.

Content title 5: Business Intelligence and Big Data

Learning time: Large group: 8h, Small group: 4h, Self study: 18h    

Description:

• Smart manufacturing
• Business intelligence systems
• Reporting
• Data Warehousing and Data Mining
• Artificial intelligence, machine learning and deep learning

Related activities:

1- Practical activities. Two laboratory sessions where you will work with reporting tools such as PowerBI. Students will have to deliver an autonomous resolution activity as proposed by the teachers.
2- Exercises of practical application of the concepts exposed in class.
3- Work on a practical case related to the contents exposed in class.
4- Exam: where the concepts acquired by the students will be evaluated.

Learning activities


Activity title 1:  Practical activities
Learning time: Small group: 20h, Self study: 40h
General description: practical activities related to the 5 main topics of the subject in which students will work on different computer applications that will respond to different challenges in which an organization can be found.
Support material: installable software, and technical and user guides provided by the teacher.
Competences: CE 26, CB 2, CT 2
Deliverables and links to the evaluation: Reports containing the reasoning and proposed solutions to the questions asked in the statement.
Specific objectives: at the end of the activity the student must be able to know the usefulness of the different tools that have been used, and their practical application to real situations in a business environment.

Activity title 2:  Exercises

Learning time: Large groups: 10am, Self study: 10am  
General description: activities proposed by the teachers, related to the 5 main topics of the subject, to facilitate the learning of the different concepts introduced in the subject.
Support material: notes of the subject and statements of the exercises provided by the teacher.
Competences: CE 26, CB 2, CT 2
Deliverable and links with the assessment: Reports containing the reasoning and proposed solutions to the questions asked in the statement.
Specific objectives: at the end of the exercises, the student must be able to understand the situation posed, make a diagnosis of the situation, and propose a solution to the problem posed.

Activity title 3: Case studies

Learning time: Large groups: 10am, Self study: 20am
General description: practical cases proposed by teachers, related to the 5 main topics of the subject, to introduce students to real situations of organizations related to Information Systems.
Support material: notes of the subject and statements of the exercises provided by the teacher.
Competences: CE 26, CB 2, CT 1, CT 2
Deliverable and links to the evaluation: reports containing the reasoning and the proposed solutions to the questions asked in the statement.
Specific objectives: at the end of the activity, the student must be able to understand the situation posed, make a diagnosis of the situation, and propose a solution to the problem posed.

Activity title 4:  1 exam

Learning time: Large groups: 2h, Self study: 10h  
General description: realization of a theoretical examination and of problems of the 5 subjects of the asignatura.
Support material: bibliography and methodological guides of the subject.
Competences: CE 26, CB 2
Deliverable and links with the evaluation: resolution of the test. This activity represents 30% of the final grade of the subject
Specific objectives: eminently evaluative objective of the degree of achievement of theoretical knowledge and its application to practical situations. Collect information for individual summative assessment.

 

Evaluation system


The assessment will consist of a grade obtained from the continuous assessment, attendance and exams according to the following percentages:

  • Practical activities: 40%.
  • Exercises: 10%.
  • Cases: 20%.
  • Final exam: 30%.

The minimum grade for the exam must be 3,5 for it to be computable with the rest of the assessment.
Recovery: Those who pass the recovery test will get a pass mark of 5.0 at most.

It will be up to the teachers of the subject to decide on the possibility of adding activities that allow the recovery of the suspended activities.

For the practical activities, if the result of their evaluation is not satisfactory, or the teachers consider it opportune they will be able to summon the members of a group to the realization of a test of individualized evaluation.

Rules for carrying out the activities

For each activity, teachers will report on the particular rules and conditions that govern them. This information will be communicated in the physical classroom or published in the virtual classroom.

Individual activities presuppose the student's commitment to carry them out individually. All those activities in which the students do not fulfill this commitment will be considered suspended, regardless of their role (origin or destination).

Likewise, the activities to be carried out in groups presuppose the commitment on the part of the students who make it up to carry them out within the group.

All activities in which the group has not respected this commitment regardless of its role (origin or destination) will be considered suspended. The responsibility for the results of the work lies with the group, and not with the individuals who make it up. In any case, teachers can, based on the information they have, customize the grade for each member of the group.

Any undelivered activity will be considered scored with zero points. It is optional for teachers to accept or not deliveries outside the deadlines indicated. In the event that these late deliveries are accepted, it is up to the teacher to decide whether to apply a penalty and the amount thereof.

 

REFERENCES


Basic

Gomez Vieites, A .; Suarez Rey, C. (2011). Information Systems. Practical tools for business management. 4ª Edition. RA-MA SA Publishing and Publications.

Laudon, KC, Laudon, JP (2018). Management Information Systems: managing the digital firm, 15th edition Global edition ”. G. Pearson

Chaffey, D. (2009). E-Business and e-commerce management: strategy, implementation and practice. Pearson

Complementary

Bradford, M. (2010). Modern ERP: Select, Implement & Use Today's Advanced Business Systems. Lulu.com.

Jared Dean (2014). Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners. Wiley, ISBN 978-1-118-92069-5.

Roebuck, K. (2011). ERP Enterprise Resource Planning: High Impact Strategies What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. Tebbo.