FI:PA194 Introduction to Serv. Science - Course Information

PA194 Introduction to Service Science

Extent and Intensity

2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

Ing. Leonard Walletzký, Ph.D. (lecturer)
RNDr. Josef Spurný, Ph.D. (lecturer)
Mgr. Zuzana Schwarzová (assistant)

Guaranteed by

Ing. Leonard Walletzký, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics

Timetable

Thu 12:00–13:50 A318

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Image Processing and Analysis (programme FI, N-VIZ)
• Bioinformatics and systems biology (programme FI, N-UIZD)
• Computer Games Development (programme FI, N-VIZ_A)
• Computer Graphics and Visualisation (programme FI, N-VIZ_A)
• Computer Networks and Communications (programme FI, N-PSKB_A)
• Cybersecurity Management (programme FI, N-RSSS_A)
• Discrete algorithms and models (programme FI, N-TEI)
• Formal analysis of computer systems (programme FI, N-TEI)
• Graphic design (programme FI, N-VIZ)
• Graphic Design (programme FI, N-VIZ_A)
• Hardware Systems (programme FI, N-PSKB_A)
• Hardware systems (programme FI, N-PSKB)
• Image Processing and Analysis (programme FI, N-VIZ_A)
• Information security (programme FI, N-PSKB)
• Information Security (programme FI, N-PSKB_A)
• Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
• Computer graphics and visualisation (programme FI, N-VIZ)
• Computer Networks and Communications (programme FI, N-PSKB)
• Principles of programming languages (programme FI, N-TEI)
• Cybersecurity management (programme FI, N-RSSS)
• Services development management (programme FI, N-RSSS)
• Software Systems Development Management (programme FI, N-RSSS)
• Services Development Management (programme FI, N-RSSS_A)
• Service Science, Management and Engineering (eng.) (programme FI, N-AP)
• Service Science, Management and Engineering (programme FI, N-AP)
• Software Systems Development Management (programme FI, N-RSSS_A)
• Software Systems (programme FI, N-PSKB_A)
• Software systems (programme FI, N-PSKB)
• Machine learning and artificial intelligence (programme FI, N-UIZD)
• Computer Games Development (programme FI, N-VIZ)
• Processing and analysis of large-scale data (programme FI, N-UIZD)
• Natural language processing (programme FI, N-UIZD)

Course objectives

The course is focused to the presentation of basic elements and contexts of the Service Science field. Withal it’s concept is built to understand the problem of Service Science in higher complex of circumstances – economics, social and particularly IT . The course emphasizes the role of IT in the field of services.

Learning outcomes

Students will understand:
- the basic of the Service Dominant Logic concept
- the methodology of Service Thinking and Service Design
- consequences related to assymetric information theory
- examples of the application os service approach in IT domian
- concepts of advanceds service modelling

Syllabus

• Introduction
• Goods and Service Dominant Logic
• Role of information in in GDL and SDL
• Service systems and imperfect information
• Service system
• Dual service system
• Dynamic service system
• IT in SDL
• Software as a Service
• Marketing concepts in SDL
• Service Science, Management and Engineering

Literature

• Case studies in service innovation. Edited by Linda A. Macaulay. 1st ed. New York: Springer, 2012, xiii, 231. ISBN 9781461419730. info
• The science of service systems. Edited by Richard B. Chase - Haluk Demirkan - James C. Spohrer - Vikas Krishna. Dordrecht: Springer, 2011, xxiv, 358. ISBN 9781441982698. URL info
• Service science, management and engineering : education for the 21st century. Edited by Bill Hefley - Wendy Murphy. New York: Springer, 2008, xxvi, 384. ISBN 9780387765785. info

Teaching methods

Lectures are based on case studies which extend the theoretical backgrounds.

Assessment methods

exam at the end of the semmester - written test (50% closed and 50% open questions)

Language of instruction

English

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Autumn 2023, recent)
  
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