Modulhandbuch (Module manual)

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M.184.3365 Information Technology for Decision Making
(Information Technology for Decision Making)

Koordinator (coordinator):	Prof. Dr. Guido Schryen
Ansprechpartner (contact):	Carina Uhde (carina.trimborn[at]uni-paderborn.de)
Credits:	5 ECTS
Workload:	150 Std (h)
Semesterturnus (semester cycle):	SoSe
Studiensemester (study semester):	3-6
Dauer in Semestern (duration in semesters):	1

Lehrveranstaltungen (courses):
	Nummer / Name (number / title)	Art (type)	Kontaktzeit (contact time)	Selbststudium (self-study)	Status (P/WP) (status)	Gruppengröße (group size)
a)	K.184.33651 / Information Technology for Decision Making		75 Std (h)	75 Std (h)	P
Wahlmöglichkeiten innerhalb des Moduls (Options within the module):
Keine

Empfohlene Voraussetzungen (prerequisites):
Working knowledge of Microsoft Excel, Fundamental Knowledge in Economics and Accounting sufficient knowledge of the English language

Inhalte (short description):
Part 1: Database Management Systems Upon completion of prescribed work for this part of the course, the student should be able to: Discuss relational database management systems (DBMS) Explain the difference between redundancy and duplication Eliminate redundancy through table splitting Eliminate repeating groups in databases Effectively create a DBMS with tables, relationships and queries in MS Access Part 2: Decision Support Systems and Traditional Spreadsheet Modeling Upon completion of prescribed work for this part of the course, the student should be able to: Demonstrate ability to collaborate within a diverse group of students and make complex decisions Effectively collect data and use FONDA (Filtering, Organizing, Normalizing, Deciding, and Analyzing) Effectively use SWOT analysis to organize data into Strenegths/Opportunities and Weaknesses/Threats Construct a euclidean model to classify alternatives into four quadrants (Low Risk-Low Return, Low Risk-High Return, High Risk-Low Return, and High Risk-High Retrn) Effectively formulate recommendations and write a comprehensive group consulting report Part 3: Decision Support Systems and Natural Language Programming Upon completion of prescribed work for this part of the course, the student should be able to: Discuss decision support systems (DSS) Perform what-if analysis Perform trial and error Perform goal seeking Formulate mathematical optimization problems Effectively use SOLVER to solve optimization problems in MS Excel Part 4: Decision Support Systems and Influence Diagramming Upon completion of prescribed work for this part of the course, the student should be able to: Discuss natural language programming (NLP) Discuss non-procedural programming languages Explain the role of NLP in financial and operational modeling Write natural language programs Effectively use NLP software like D-code and dynamic data exchange Part 5: Strategic Information Systems Upon completion of prescribed work for this part of the course, the student should be able to: Discuss influence diagramming (ID) Explain the difference between constant, variable, self-reference variable, and series in ID Effectively model and solve ID problems with D-cide Effectively use dynamic data exchange between D-cide and excel Part 6: Knowledge Engineering and Expert Systems Upon completion of prescribed work for this part of the course, the student should be able to: Discuss knowledge engineering and expert systems (ES) Explain the difference between knowledge representation techniques (i.e., decision tables, decision trees, and structured English) Explain rule-based ESs Represent rule-based ESs with decision trees Effectively use ES software like B-wise Lectures take place in a 2-week block seminar in May and conclude with a written exam and a term paper during the lecture period.

Inhalte (short description):

Part 1: Database Management Systems

Upon completion of prescribed work for this part of the course, the student should be able to:

Discuss relational database management systems (DBMS)

Explain the difference between redundancy and duplication

Eliminate redundancy through table splitting

Eliminate repeating groups in databases

Effectively create a DBMS with tables, relationships and queries in MS Access

Part 2: Decision Support Systems and Traditional Spreadsheet Modeling

Upon completion of prescribed work for this part of the course, the student should be able to:

Demonstrate ability to collaborate within a diverse group of students and make complex decisions

Effectively collect data and use FONDA (Filtering, Organizing, Normalizing, Deciding, and Analyzing)

Effectively use SWOT analysis to organize data into Strenegths/Opportunities and Weaknesses/Threats

Construct a euclidean model to classify alternatives into four quadrants (Low Risk-Low Return, Low Risk-High Return, High Risk-Low Return, and High Risk-High Retrn)

Effectively formulate recommendations and write a comprehensive group consulting report

Part 3: Decision Support Systems and Natural Language Programming

Upon completion of prescribed work for this part of the course, the student should be able to:

Discuss decision support systems (DSS)

Perform what-if analysis

Perform trial and error

Perform goal seeking

Formulate mathematical optimization problems

Effectively use SOLVER to solve optimization problems in MS Excel

Part 4: Decision Support Systems and Influence Diagramming

Upon completion of prescribed work for this part of the course, the student should be able to:

Discuss natural language programming (NLP)

Discuss non-procedural programming languages

Explain the role of NLP in financial and operational modeling

Write natural language programs

Effectively use NLP software like D-code and dynamic data exchange

Part 5: Strategic Information Systems

Upon completion of prescribed work for this part of the course, the student should be able to:

Discuss influence diagramming (ID)

Explain the difference between constant, variable, self-reference variable, and series in ID

Effectively model and solve ID problems with D-cide

Effectively use dynamic data exchange between D-cide and excel

Part 6: Knowledge Engineering and Expert Systems

Upon completion of prescribed work for this part of the course, the student should be able to:

Discuss knowledge engineering and expert systems (ES)

Explain the difference between knowledge representation techniques (i.e., decision tables, decision trees, and structured English)

Explain rule-based ESs

Represent rule-based ESs with decision trees

Effectively use ES software like B-wise

Lectures take place in a 2-week block seminar in May and conclude with a written exam and a term paper during the lecture period.

Lernergebnisse (learning outcomes):

Fachkompetenz Wissen (professional expertise):
Studierende... Students shall... discuss the emerging technological issues facing managers (Factual and Methodic Competence). explain the value of data, information, and knowledge to organizations (Factual and Methodic Competence). design and develop Database Management Systems, Management Information Systems, Decision Support Systems, Strategic Information Systems, and Expert System in support of the organizational decision making and problem solving (Methodic and Transfer Competence).
Fachkompetenz Fertigkeit (practical professional and academic skills):
Studierende... Students shall... utilize information technology tools to design operational, managerial, and strategic systems. utilize a series of decision analytics tools in a hands-on environment (Methodic and Transfer Competence). Relational Database Management Modeling Mathematical Optimization Natural Language Programming Influence Diagramming Multi-Criteria Decision Analysis Decision Tables Decision Trees Structured English Knowledge Engineering Rule-Based Expert Systems
Personale Kompetenz / Sozial (individual competences / social skills):
Studierende...
Personale Kompetenz / Selbstständigkeit (individual competences / ability to perform autonomously):
Studierende... Students shall... discuss when and how Management Support Systems may be used to complement more analytic decision-making frameworks (Factual and Transfer Competence). demonstrate ability to collaborate within a diverse group of people and make complex decisions (Normative and Transfer competence).

Prüfungsleistungen (examinations)
Art der Modulprüfung (type of modul examination): Modulprüfung
	Art der Prüfung (type of examination)	Umfang (extent)	Gewichtung (weighting)
a)	Klausur	60 minutes - A hands-on and open-book exam in the computer classroom including five problems on Database Management Systems, Decision Support Systems, and Expert Systems.	60.00 %
b)	Gruppenarbeit	30 minutes - A multi-disciplinary group project designed to solve a complex real-life strategic information problem using Strategic Assessment Systems and the Euclidean Model.	40.00 %

Studienleistung / qualifizierte Teilnahme (module participation requirements)
Nein

Voraussetzungen für die Teilnahme an Prüfungen (formal requirements for participating in examinations)
Keine

Voraussetzungen für die Vergabe von Credits (formal requirements for granting credit points)
Die Vergabe der Credits erfolgt, wenn die Modulnote mindestens „ausreichend“ ist

Gewichtung für Gesamtnote (calculation of overall grade)
Das Modul wird mit der doppelten Anzahl seiner Credits gewichtet (Faktor: 2)

Verwendung des Moduls in den Studiengängen (The module can be selected in the following degree programmes)
B.Sc. International Business Studies, B.Sc. Wirtschaftsinformatik, B.Sc. Wirtschaftswissenschaften

Umfang QT (participation requirements):

Lernmaterialien, Literaturangaben (learning material, literature):

Teilnehmerbegrenzung (participant limit):
30 Personen

Sonstige Hinweise (additional information):
BITTE BEACHTEN! Dieser Kurs wird von dem Gastdozenten und Honorarprofessor der Fakultät für Wirtschaftswissenschaften der Universität Paderborn, Herrn Prof. Dr. Madjid Tavana von der La Salle University in Philadelphia gehalten und findet üblicherweise jährlich im Sommersemester in Form eines Blockseminars statt. Im Sommersemster 2026 findet der Kurs im Juni statt. Dieses Modul ist kapazitativ auf 30 Teilnehmer/innen begrenzt. Bitte beachten Sie die Hinweise zu kapazitativ-begrenzten Modulen im Bereich „Studium" auf den Seiten der Fakultät für Wirtschaftswissenschaften. Studierende melden sich für das Modul in PAUL an, die Auswahl der Teilnehmer erfolgt durch das Studienbüro gemäß der Modulauswahlordnung der Fakultät WW. Die Kurssprache ist Englisch. Veranstaltungszeiten für die Blockveranstaltung werden bekannt gegeben, sobald die Reisedaten feststehen, frühestens jedoch im Frühjahr des Veranstaltungsjahres. Das nächste Blockseminar findet im Juni 2026 statt. Räume und Zeiten werden rechtzeitig in PAUL veröffentlicht. In der Regel erfolgt die Modulabschlussprüfung am Ende des Blockseminars. PLEASE NOTE! This course is held by the guest lecturer and honorary professor in the Faculty of Business Administration and Economics at Paderborn University, Prof. Dr. Madjid Tavana from La Salle University in Philadelphia and usually takes place annually in the summer semester as a block seminar. in the summer semester 2026 the course will be held in June. The course is limited to 30 participants. Please note the information on limited modules in the section "Studies" (German only) on the pages of the Faculty of Business Administration and Economics. Students register for the module in PAUL, participants are selected by the study office according to the module selection regulations of the Faculty. The course language is English. Dates and times for the course will be announced as soon as travel dates are determined, usually in early spring of the course year. The next block seminar will be held in June, 2026. Rooms and times will be published in PAUL in time. The final module exam usually takes place at the end of the blockseminar.

Sonstige Hinweise (additional information):

BITTE BEACHTEN!

Dieser Kurs wird von dem Gastdozenten und Honorarprofessor der Fakultät für Wirtschaftswissenschaften der Universität Paderborn, Herrn Prof. Dr. Madjid Tavana von der La Salle University in Philadelphia gehalten und findet üblicherweise jährlich im Sommersemester in Form eines Blockseminars statt. Im Sommersemster 2026 findet der Kurs im Juni statt.

Dieses Modul ist kapazitativ auf 30 Teilnehmer/innen begrenzt. Bitte beachten Sie die Hinweise zu kapazitativ-begrenzten Modulen im Bereich „Studium" auf den Seiten der Fakultät für Wirtschaftswissenschaften.

Studierende melden sich für das Modul in PAUL an, die Auswahl der Teilnehmer erfolgt durch das Studienbüro gemäß der Modulauswahlordnung der Fakultät WW.

Die Kurssprache ist Englisch.

Veranstaltungszeiten für die Blockveranstaltung werden bekannt gegeben, sobald die Reisedaten feststehen, frühestens jedoch im Frühjahr des Veranstaltungsjahres.

Das nächste Blockseminar findet im Juni 2026 statt. Räume und Zeiten werden rechtzeitig in PAUL veröffentlicht. In der Regel erfolgt die Modulabschlussprüfung am Ende des Blockseminars.

PLEASE NOTE!

This course is held by the guest lecturer and honorary professor in the Faculty of Business Administration and Economics at Paderborn University, Prof. Dr. Madjid Tavana from La Salle University in Philadelphia and usually takes place annually in the summer semester as a block seminar. in the summer semester 2026 the course will be held in June.

The course is limited to 30 participants.

Please note the information on limited modules in the section "Studies" (German only) on the pages of the Faculty of Business Administration and Economics.

Students register for the module in PAUL, participants are selected by the study office according to the module selection regulations of the Faculty.

The course language is English.

Dates and times for the course will be announced as soon as travel dates are determined, usually in early spring of the course year.

The next block seminar will be held in June, 2026. Rooms and times will be published in PAUL in time. The final module exam usually takes place at the end of the blockseminar.

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