I. SUBJECT DESCRIPTION
II. SUBJECT REQUIREMENTS
III. COURSE CURRICULUM
SUBJECT DATA
OBJECTIVES AND LEARNING OUTCOMES
TESTING AND ASSESSMENT OF LEARNING PERFORMANCE
THEMATIC UNITS AND FURTHER DETAILS
Subject name
MANAGEMENT INFORMATION SYSTEMS
ID (subject code)
BMEGT20MN48
Type of subject
conatct lessons
Course types and lessons
Type
Lessons
Lecture
2
Practice
0
Laboratory
0
Type of assessment
exam grade
Number of credits
3
Subject Coordinator
Name
Dr. Nemeslaki András
Position
professor
Contact details
nemeslaki.andras@gtk.bme.hu
Educational organisational unit for the subject
Department of Management and Business Economics
Subject website
Language of the subject
magyar - HU; angol - ENG
Curricular role of the subject, recommended number of terms

Programme: Master of Science Program in Finance

Subject Role: Compulsory

Recommended semester: 4

Programme: MSc in Management and Leadership

Subject Role: Compulsory

Recommended semester: 4

Direct prerequisites
Strong
None
Weak
None
Parallel
None
Exclusion
None
Validity of the Subject Description
Approved by the Faculty Board of Faculty of Economic and Social Sciences, Decree No: 580884/8/2023 registration number. Valid from: 29.11.2023.

Objectives

Generally, information and communication technologies (ICT) are approached as „black boxes” inside of which is not really accessible for other business areas. This is the reason why the main objective of this course is to familiarize students with what is happening inside the “black box” and show how ICT is managed in businesses. We put a strong emphasis on demonstrating how companies increase their competitiveness with ICT solutions and how they can improve efficiency in their business functions. We introduce contemporary technology innovations and those mechanisms which drive new business models, organizational change, and the transformation of managerial decisions. During the course, on the one hand, the conceptual foundations of information management are discussed. On the other several cases, examples and illustrations are presented how digital transformation works in practice. Students are enabled by several assignments to indulge in their own concrete cases, both to study digital transformation and to design new business models or strategies.

Academic results

Knowledge
  1. Can use of terminologies and concepts of management information systems.
  2. Understand of information system development and management methods.
  3. Get familiar with the contemporary ICTs and how they support business processes.
  4. Understand digital transformation.
  5. Get familiar with data driven management, and its relevance in achieving effectiveness and efficiency.
Skills
  1. Are able to use the concepts to analyze, renew, and critically assess information systems.
  2. Are able to create practical suggestions for ICT strategies.
  3. Are equipped with skills to develop arguments and high level plans for digital transformation..
  4. Can work together with ICT experts, developers in projects.
Attitude
  1. 1. Will be receptive to the use of new IT tools.
  2. 2. Understand the application possibilities of 21st century technological innovations.
Independence and responsibility
  1. Are able to work independently under general supervision, and continue learning new skills in the field of MIS.
  2. Can actively participate in the sessions and projects.
  3. Are able to take responsibility for their own actions, deliverables and decisions.

Teaching methodology

Lectures, oral and written communication, application of IT tools and techniques during the lectures and individual exercises.

Materials supporting learning

  • 1.Nemeslaki András (2012): Vállalati Internetstratégia, Akadémiai Kiadó, Budapest.
  • ISBN 9789630591898 (this is not applicable in the English programs)
  • 2.Laudon and Laudon (2019): Management Information Systems: Managing the Digital Firm, Pearson, New-York.
  • ISBN-13: 978-0135191798
  • 3.Digitális transzformációról szóló HBR tanulmányok, valamint HBS esettanulmányok (case studies).
  • (HBR papers and HBS case studies along with study notes and handouts by the instructors.)

General Rules

Performance assessment methods

Detailed description of the performance evaluations carried out during the term: Lecture participation (50%): the participation and activity of the students are evaluated by the lecturers at the end of the term. Max points attainable: 50. Volunteered home assignment (50%): 10-12 slides in a PowerPoint Presentation. Topic: discussed at the beginning of the term in the first lecture. Max points attaiable: 50. With the fulfilment of the 2 criterion mentioned above, 100% exam-proportion is attainable. So, the exam is avoidable with the lecture participation and the home assignment. Detailed description of the performance evaluations carried out during the exam period: Exam: 1. Written performance assessment: The exam is 50 min., and consists of 50 multiple choice and case study questions. Max points attainable: 100.

Percentage of performance assessments, conducted during the study period, within the rating

  • Lecture participation: 50
  • Home assignment: 50
  • total: 100

Percentage of exam elements within the rating

  • Written performance assessment: 100
  • total: 100

Conditions for obtaining a signature, validity of the signature

No midterm requirement.

Issuing grades

%
Excellent 91-100
Very good 87,5–90
Good 75–87
Satisfactory 62–74,5
Pass 50–61,5
Fail 0-49

Retake and late completion

According to the Code of Studies

Coursework required for the completion of the subject

Nature of work Number of sessions per term
participation at the lectures 42
preparing for the lectures 14
preparing the project work 16
learning of designated course materials and exam preparation 16
exam 2
total 90

Approval and validity of subject requirements

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 06.11.2023.

Topics covered during the term

To achieve the learning outcomes set out in section 2.2, the course consists of the following areas and topics.

Lecture topics
1. Information Systems in Global Business.
2. Information Systems: Organizations and Strategy.
3. Technology and Society: the constructivist approach to IT management.
4. IT Infrastructure and Emerging Technologies.
5. Foundations of Business Intelligence: from Data to Information and Decision.
6. Networks, wireless and ubiquitous technologies.
7. Security and privacy – privacy paradox.
8. Management Systems: Operational Excellence.
9. Management Systems: Customer Intimacy.
10. Management Systems: Digital Markets and Digital Goods.
11. Management Systems: Knowledge Management and Decision Support.
12. Building Information Systems, IT project management.
13. Leadership of IT and to role of IT in leadership.
14. Summary.

Additional lecturers

Name Position Contact details
Dr. Danyi Pál egyetemi docens danyi.pal@gtk.bme.hu
Dr. Kis Gergely egyetemi adjunktus kis.gergely@gtk.bme.hu

Approval and validity of subject requirements