Module im Bereich: Human Factors

• ⚠️ Hinweise zu Modulen für den Bereich: Human Factors
• Design-Projekt
• Management of Global Large IT-Systems in International Companies
• Narrative Visualization
• Principles and Practices of Scientific Work and Soft Skills
• Recent Topics in Business Informatics
• Scientific Writing
• Soft Skills für Masterstudierende
• Wissenschaftliches Individualprojekt

⚠️ Hinweise zu Modulen für den Bereich: Human Factors

Im Folgenden werden Module aus anderen Fakultäten für den Bereich Human Factors aufgelistet; sie können in den Modulhandbüchern der entsprechenden Fakultäten gefunden werden.

Abweichende Module müssen vom  Studiengangsleitenden genehmigt werden. 

• Crafting Success: The Art of Business Process Management (Winter)

Design-Projekt

Sommer

(engl. Design Project )

Modulnummer: FIN-INF-120520

Kürzel DSP

CP 6

Semester Sommer

Fachsem. ab 1.

Dauer 1 Semester

Sprache deutsch

Niveau Master

Link zum LSF:	LSF
Zugang beschränkt:
Verantwortung:	Hans-Knud Arndt
Dozent:in:	Hans-Knud Arndt
Lehrveranstaltungen:	Seminar Design Projekt Übung Design Projekt
Verwendbarkeit:	- M.Sc. INF: Informatik - M.Sc. INF: Schlüssel- und Methodenkompetenzen - M.Sc. INGINF: Informatik - M.Sc. INGINF: Schlüssel- und Methodenkompetenzen - M.Sc. WIF: Wirtschaftsinformatik - M.Sc. WIF: Informatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Human Factors - M.Sc. VC: Schlüssel- und Methodenkompetenzen

Angestrebte Lernergebnisse:
Absolvent*innen dieses Moduls...

• entwickeln ein Verständnis für Industrie-Design
• setzen sich mit den „Zehn Thesen des Guten Designs“ von Dieter Rams auseinander und sind in der Lage diese auf Projekte anzuwenden
• entwickeln ein Verständnis für das Design aktueller IT-Produkte
• sind in der Lage, das Design von aktuellen IT-Produkte zu entwickeln und zu bewerten

Inhalt:

• Die Teilnehmer*innen sollen im Rahmen dieser Lehrveranstaltung ihre neu gewonnenen Erkenntnisse in Bezug auf Design praktisch auf IT-Produkte anwenden. Hierbei werden die von Dieter Rams entwickelten „Zehn Thesen des Guten Designs“ eingesetzt.
• Darüber hinaus werden weitere Ansätze, wie zum Beispiel von John Maeda: "Simplicity: Die zehn Gesetze der Einfachheit" angewendet.

Arbeitsaufwand:
Präsenzzeiten:

• 2 SWS Seminar = 28h
• 2 SWS Übung = 28h

Selbstständiges Arbeiten:

• Vor- und Nachbereitung Vorlesung Entwicklung von Lösungen für die Übung 124h

180h = 4 SWS = 56h Präsenzzeit + 124h selbstständige Arbeit

Prüfungsvorleistungen:	Studien-/Prüfungsleistungen:	Lehrform / SWS:
	Hausarbeit	Seminar (2 SWS) Übung (2 SWS)

Voraussetzungen nach Prüfungsordnung:	Empfohlene Voraussetzungen:
keine

Medienformen:	Literatur:

Hinweise:

Management of Global Large IT-Systems in International Companies

Summer

(in German: Management of Global Large IT-Systems in International Companies )

Module-ID: FIN-INF-120315

Abbreviation MGLIIC

Credit Points 6

Semester Summer

Term starting at 1.

Duration 1 Semester

Language english

Level Master

Link:	LSF
Limited accessability:
Responsibility:	Gunter Saake
Lecturer:	Karl-Albert Bebber, Wolfgang Stockhausen
Classes:	Block lecture Management of Global Large IT-Systems in International Companies Block Exercise class Management of Global Large IT-Systems in International Companies
Applicability in curriculum:	- M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Wirtschaftsinformatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Human Factors - M.Sc. DE: Methoden der Informatik - M.Sc. DE: Fachliche Spezialisierung - M.Sc. VC: Computer Science

Intended learning outcomes:
Students are able to …

• understand the fundamentals of IT strategy and analyze its significance for businesses.
• describe methods for developing and implementing IT strategies.
• apply project management methodologies such as PRINCE2 and agile approaches in IT projects.
• understand multi-project management, program management and portfolio management in corporate environments.
• apply change management models such as ADKAR to manage organizational transformations.
• understand the importance of IT governance and compliance for corporate structures and regulatory requirements.
• describe stakeholder management and intercultural communication in global IT projects.
• identify risks and quality requirements in IT projects and develop appropriate control measures.
• explain data governance concepts and assess their significance for data protection, IT security, and regulatory compliance.
• describe the role of data quality, metadata management and master data management (MDM) in corporate IT.
• model, analyze, and optimize IT-supported business processes, particularly through the use of BPMN.
• understand Identity & Access Management (IAM) and evaluate its implementation in enterprises.
• explain security aspects such as authentication, authorization, Single Sign-On (SSO), and two-factor authentication (2FA), as well as best practices in enterprise security management.
• assess IT security strategies and cybersecurity measures, including risk mitigation techniques.
• understand the importance of reference data management and data integration for corporate processes.
• evaluate agile methodologies such as Scrum in IT transformation projects and compare them with traditional waterfall approaches.
• understand risk and quality management processes in IT environments, including testing methodologies, compliance frameworks, and risk mitigation strategies.
• analyze and apply IT service delivery models in Shared Service Centers.

Content:

• Business Process Management and Modeling
• Process Analysis and Optimization/Standardization
• Identity and Access Management (IAM)
• Quality and Risk Management in IT Operations
• Testing and Software Quality Assurance, including Documentation
• Agile vs. Waterfall Project Management in IT
• IT Service Delivery and Shared Service Center Management
• Project and Program Management (PRINCE2 i. a.)
• Stakeholder Management in IT Projects
• Change Management (ADKAR, Organizational and Employee Transformation)
• Data Governance (Strategy, Policies, Processes and Data Quality)
• IT Strategy – Business as a Driver for IT (Balanced Scorecard)
• IT Investments and Business Decision-Making
• Insights from Ongoing IT Projects by Public Accountants and IT Project Leads from Major International Companies

Workload:
56 contact hours + 124 h self study

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
Requirements for exam admission will be announced in the first lecture	Written Exam (120 min)	2 SWS Blockvorlesung 2 SWS Blockübung

Prerequisites according to examination regulations:	Recommended prerequisites:
keine	Knowledge about IT-Systems and Business administration

Media:	Literature:

Comments:

Narrative Visualization

Summer

(in German: Narrative Visualization )

Module-ID: FIN-INF-120523

Abbreviation NarVis

Credit Points 3

Semester Summer

Term starting at 1.

Duration 1 Semester

Language english

Level Master

Link:	LSF
Limited accessability:	true
Responsibility:	Bernhard Preim
Lecturer:	Bernhard Preim
Classes:	Seminar Narrative Visualization
Applicability in curriculum:	- M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Human Factors - M.Sc. DE: Fachliche Spezialisierung - M.Sc. VC: Visual Computing

Intended learning outcomes:
Students ...

• can apply methods of narrative visualization for Science communication
• can design and present topics of Science communication

Content:

• Overview of Narrative Visualization
• Concepts and Tools for Story Generation
• Applications in climate research, molecular research and astronomy
• Applications in business and finance

Workload:
28 h contact hours + 152 h self study

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
	Referat	2 SWS Seminar

Prerequisites according to examination regulations:	Recommended prerequisites:
keine	Module Visualization

Media:	Literature:

Comments:

Principles and Practices of Scientific Work and Soft Skills

Summer

(in German: Principles and Practices of Scientific Work and Soft Skills )

Module-ID: FIN-INF-120502

Abbreviation PPSW

Credit Points 6

Semester Summer

Term starting at 1.

Duration 1 Semester

Language english

Level Master

Link:	LSF
Limited accessability:	true
Responsibility:	PD Dr. Claudia Krull
Lecturer:	PD Dr. Claudia Krull
Classes:	Lecture PPSW Exercise PPSW
Applicability in curriculum:	- M.Sc. DKE: Fundamentals of Data Science - M.Sc. DE: Human Factors - M.Sc. DE: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. INF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. WIF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. VC: Schlüssel- und Methodenkompetenz (SPO 2027)

Intended learning outcomes:

• Students know how a Goal is defined and are able to formulate it properly. based on that students know methods for time management.
• Students understand important aspects of project management and teamwork, including phases and pitfalls.
• Students are able to conduct a systematic literature review in order to gain an overview of an area of interest.
• Students are able to identify and formulate research hypothesis
• Students understand how a scientific publication is structured, can read it and extract the important information.
• Students are able to write a research proposal on a selected topic in the form of a scientific publication.
• Students understand how to present a research topic proposal on a selected topic.

Content:
The course covers the following topics, among others:

• Introduction to Scientific Work
• Literature Research and Management Research Projects and Thesis Topics
• Scientific Writing - Thesis Structure and Writing Techniques
• Study Skills & Self Management
• Project Management & Team Work
• Presentation Skills

The project and term paper topic can be related to an ongoing research project or be used for Master’s thesis preparation.

Workload:
40 h in person teaching 140 h independent work

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
participation in all classes completion of assignments keeping all deadlines	Report	Lecture (2 SWS) Exercise (2 SWS)

Prerequisites according to examination regulations:	Recommended prerequisites:
keine

Media:	Literature:

Comments:
participation is limited to 40

Recent Topics in Business Informatics

every

(in German: Recent Topics in Business Informatics )

Module-ID: FIN-INF-120318

Abbreviation RTBI

Credit Points 6

Semester every

Term

Duration 1 Semester

Language english

Level Master

Link:	LSF
Limited accessability:	false
Responsibility:	Prof. Dr. Klaus Turowski
Lecturer:	Dr. Daniel Staegemann , Abdulrahman Nahhas
Classes:	Seminar RTBI
Applicability in curriculum:	- M.Sc. INF: Informatik - M.Sc. INF: Schlüssel- und Methodenkompetenzen - M.Sc. INGINF: Informatik - M.Sc. WIF: Wirtschaftsinformatik - M.Sc. WIF: Schlüssel- und Methodenkompetenzen - M.Sc. DKE: Applied Data Science - M.Sc. DE: Human Factors - M.Sc. DE: Methoden der Informatik - M.Sc. DE: Fachliche Spezialisierung - M.Sc. VC: Computer Science

Intended learning outcomes:
Students ...

• can acquire new knowledge independently through self-sufficient research and consultation of thematically relevant scientific literature and make it usable for themselves.
• can write a scientific paper almost independently and with only a small amount of support and present the final result.
• can convey knowledge from a subject area of their choice as part of a specialist presentation, explain the research results they have achieved and defend the arguments they have put forward in a scientific discussion.
• know the steps involved in writing a scientific paper, from finding a specific topic to presenting it at a conference.
• have carried out the necessary steps for crafting a scientific publication themselves and have developed an understanding of them.

Content:

• Research, Literature Search, Citation & Plagiarism
• Scientific methods
• Hands-On-Guidance
• Introduction to selected Business Informatics topics

Workload:
presence = 40 hr.:

40 h lecture with integrated exercise

independent work = 140 hr:

Follow-up of the lecture, write paper and review, and present paper.

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
	Referat	Seminar (4SWS)

Prerequisites according to examination regulations:	Recommended prerequisites:
none	Basics of scientific writing

Media:	Literature:

Comments:

Scientific Writing

Winter

(in German: Scientific Writing )

Module-ID: FIN-INF-120511

Abbreviation SciWri

Credit Points 6

Semester Winter

Term starting at 1.

Duration 1 Semester

Language english

Level Master

Link:	LSF
Limited accessability:	true
Responsibility:	PD Dr. Claudia Krull
Lecturer:	Temitope Ibidunni Akinloye
Classes:	Seminar Scientific Writing
Applicability in curriculum:	- M.Sc. INF: Schlüssel- und Methodenkompetenzen - M.Sc. INF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. INGINF: Schlüssel- und Methodenkompetenzen - M.Sc. WIF: Schlüssel- und Methodenkompetenzen - M.Sc. WIF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. DKE: Applied Data Science - M.Sc. DE: Human Factors - M.Sc. DE: Fachliche Spezialisierung - M.Sc. DE: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. VC: Schlüssel- und Methodenkompetenzen - M.Sc. VC: Schlüssel- und Methodenkompetenz (SPO 2027)

Intended learning outcomes:

• Students are able to conduct a literature research in order to gain an overview of an area of interest.
• Students can identify open research questions based on a literature research.
• Students are able to identify and formulate research hypothesis
• Students understand how a scientific publication is structured, can read it and extract the important information.
• Students are able to write a research proposal on a selected topic in the form of a scientific publication.
• Students are able to identify and select possible solution methods for a scientific question.
• Students are able to prepare a presentation to explain and defend their research proposal.
• Students understand how to present a research topic proposal on a selected topic.
• Students are able to evaluate the quality of others scientific work

Content:

• Literature citation and paraphrasing
• Presentations Review scientific articles
• Argument formation
• Knowledge and application of academic writing styles
• Peer review assessment

Workload:

• 28h Seminar
• 152h independent work

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
participation in all classes completion of assignments keeping all deadlines	Seminar paper (Paper + Reviews) Presentation	Seminar (2 SWS)

Prerequisites according to examination regulations:	Recommended prerequisites:
keine

Media:	Literature:

Comments:
participation is limited to 40

Soft Skills für Masterstudierende

Sommer

(engl. Soft Skills for Masters students )

Modulnummer: FIN-INF-120250

Kürzel SK-M

CP 6

Semester Sommer

Fachsem. ab 1.

Dauer 1 Semester

Sprache deutsch

Niveau Master

Link zum LSF:	LSF
Zugang beschränkt:
Verantwortung:	Graham Horton
Dozent:in:	Graham Horton
Lehrveranstaltungen:	Vorlesung Soft Skills für Masterstudierende Tutorien Soft Skills für Masterstudierende
Verwendbarkeit:	- M.Sc. INF: Schlüssel- und Methodenkompetenzen - M.Sc. INF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. INGINF: Schlüssel- und Methodenkompetenzen - M.Sc. WIF: Schlüssel- und Methodenkompetenzen - M.Sc. WIF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. VC: Schlüssel- und Methodenkompetenzen - M.Sc. VC: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. DE: Human Factors - M.Sc. DE: Schlüssel- und Methodenkompetenz (SPO 2027)

Angestrebte Lernergebnisse:
Die Studierenden ...

• kennen die Grundlagen für eine wertbasierte Lebensführung
• können kreative Methoden der Ideengewinnung und Problemlösung durchführen
• können eine inhaltliche Planung für ihre Masterarbeit erstellen
• können Techniken des Selbstmanagements anwenden
• kennen Perspektiven für die Wahl ihres Berufs

Inhalt:

• Wissenschaftliches Arbeiten III + IV
• Persönliche Produktivität
• Life Leadership
• Problemlösungstechniken
• Wertschöpfung und Kundennutzen
• Innovation
• Querdenken
• Berufswahl
• Meetings leiten

Arbeitsaufwand:
56 h Präsenzzeit + 124 h selbstständige Arbeit

Prüfungsvorleistungen:	Studien-/Prüfungsleistungen:	Lehrform / SWS:
Gruppenarbeit Thesis proposal erarbeiten	Klausur 120 min	Vorlesung (2 SWS) Tutorien (2 SWS)

Voraussetzungen nach Prüfungsordnung:	Empfohlene Voraussetzungen:
keine

Medienformen:	Literatur:

Hinweise:
Der frühere Name dieses Moduls war Schlüsselkompetenzen 3

Wissenschaftliches Individualprojekt

jedes

(engl. Individual Scientific Project )

Modulnummer: FIN-INF-120301

Kürzel WIP

CP 6

Semester jedes

Fachsem. ab 1.

Dauer 1 Semester

Sprache deutsch

Niveau Master

Link zum LSF:	LSF
Zugang beschränkt:
Verantwortung:	Studiendekan:in der FIN
Dozent:in:	Alle Dozenten der FIN
Lehrveranstaltungen:	keine
Verwendbarkeit:	- M.Sc. INF: Informatik - M.Sc. INF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. INF: Projekte (SPO 2027) - M.Sc. INGINF: Informatik - M.Sc. INGINF: Ingenieurinformatik - M.Sc. WIF: Wirtschaftsinformatik - M.Sc. WIF: Informatik - M.Sc. WIF: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. WIF: Projekte (SPO 2027) - M.Sc. DKE: Learning Methods and Models for Data Science - M.Sc. DKE: Data Processing for Data Science - M.Sc. DKE: Applied Data Science - M.Sc. DKE: Projects (SPO 2027) - M.Sc. DE: Human Factors - M.Sc. DE: Methoden des Digital Engineering - M.Sc. DE: Methoden der Informatik - M.Sc. DE: Fachliche Spezialisierung - M.Sc. DE: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. DE: Projekte (SPO 2027) - M.Sc. VC: Visual Computing - M.Sc. VC: Computer Science - M.Sc. VC: Schlüssel- und Methodenkompetenz (SPO 2027) - M.Sc. VC: Projekte (SPO 2027)

Angestrebte Lernergebnisse:
Die Studierenden ...

• arbeiten selbstständig an einer wissenschaftlichen Fragestellung
• arbeiten sich selbstständig in ein wissenschaftliches Spezialgebiet ein
• erarbeiten vertiefte Kenntnisse auf einem wissenschaftlichen Spezialgebiet
• präsentieren und interpretieren ihre Ergebnisse in mündlicher und/oder schriftlicher Form
• können ihren Erfolg und die Bedeutung ihrer Ergebnisse einschätzen
• beschreiben die Auswirkungen ihrer Entscheidungen auf den Verlauf und die Ergebnisse des Projektes

Inhalt:
Die Studierenden bearbeiten in selbstständiger Arbeit eine individuell vereinbarte, wissenschaftliche Fragestellung unter Anleitung eines Hochschullehrers. Im Projekt entwickeln die Studierenden eine eigenständige Informatik-Lösung. Dadurch erwerben sie ein detailliertes und kritisches Verständnis in einem Spezialbereich der Informatik. Dieses Modul wird von unterschiedlichen Hochschullehrern implementiert. Die fachlichen Inhalte sind daher angebotsspezifisch.

Arbeitsaufwand:
180h selbstständige Arbeit

Prüfungsvorleistungen:	Studien-/Prüfungsleistungen:	Lehrform / SWS:
	Wissenschaftliches Projekt	Angeleitetes wissenschaftliches Individualprojekt

Voraussetzungen nach Prüfungsordnung:	Empfohlene Voraussetzungen:
keine

Medienformen:	Literatur:

Hinweise:
Projekte außerhalb der FIN müssen von Studiengangsleiter abgesegnet werden.