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MANAGEMENT INFORMATION SYSTEMS

General data

Course ID: 2400-ENSM099A
Erasmus code / ISCED: 14.3 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: MANAGEMENT INFORMATION SYSTEMS
Name in Polish: Management Information Systems
Organizational unit: Faculty of Economic Sciences
Course groups: English-language course offering of the Faculty of Economics
Master Thesis Seminars II yr graduate English-language programmes
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: English
Type of course:

Master's seminars

Short description:

Information, Artificial Intelligence (AI) and computer systems are making an increasingly significant impact in our daily life; therefore, the main purpose of this seminar is to help students understand and acquire the basic theoretical knowledge and practical skills necessary to develop and evaluate management information systems, AI and human-computer interaction-based research models.

Full description:

In the first semester of the seminar, students will be asked to state the topic of the thesis, they will get to know the technique of working skills, they will do their own research, read the recommended literature and the one selected by themselves with the consultation of the instructor, they will present the topic of the thesis together with the preliminarily formulated questions concerning the research, they will decide on research methods essential in finding solutions to particular problems.

Master seminar thesis topics of interest for the seminar include, but are not limited to:

– Ethics, privacy & trust in Digital Technology Adoption

– Digital wellbeing and the responsibility and role of tech companies and/or government

– Personalized User Experience through AI-driven Behavioral Analysis:

– Predictive Modeling of User Engagement in Online Communities

– E-Government and citizen engagement in EU

– Human-computer interaction, AI and spatial computing

– Fintech innovation, financial industry, and Digital governance

Bibliography:

The literature recommended for reading in the first semester of the seminar is individually proposed for each topic of the thesis.

Learning outcomes:

On successful completion of these, students should be able to:

1. equipped with the ability to critically appraise theories, methods, and evidence for understanding Human-computer interaction and management information systems.

2. make new research design, implementation, and evaluation of digital change.

3. support the translation of evidence into practice across disciplines and sectors.

Assessment methods and assessment criteria:

Master's thesis and presentation of work in progress

Classes in period "Summer semester 2024/25" (past)

Time span: 2025-02-17 - 2025-06-08
Selected timetable range:
Go to timetable
Type of class:
Second cycle diploma seminar, 30 hours more information
Coordinators: Umair Ashraf Rana
Group instructors: Umair Ashraf Rana
Students list: (inaccessible to you)
Credit: Course - Pass/fail
Second cycle diploma seminar - Pass/fail
Course descriptions are protected by copyright.
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