# 363-0541-00L  Systems Dynamics and Complexity

 Semester Herbstsemester 2022 Dozierende F. Schweitzer Periodizität jährlich wiederkehrende Veranstaltung Lehrsprache Englisch

### Lehrveranstaltungen

NummerTitelUmfangDozierende
363-0541-00 GSystems Dynamics and Complexity
Lecture: Tuesday, 10-12 h
Exercises: Tuesday, 12-13 h

Recordings available upon request.
3 Std.
 Di 10:15-12:00 HG F 5 » 12:15-13:00 HG F 5 »
F. Schweitzer

### Katalogdaten

 Kurzbeschreibung Finding solutions: what is complexity, problem solving cycle.Implementing solutions: project management, critical path method, quality control feedback loop. Controlling solutions: Vensim software, feedback cycles, control parameters, instabilities, chaos, oscillations and cycles, supply and demand, production functions, investment and consumption Lernziel A successful participant of the course is able to: - understand why most real problems are not simple, but require solution methods that go beyond algorithmic and mathematical approaches- apply the problem solving cycle as a systematic approach to identify problems and their solutions- calculate project schedules according to the critical path method- setup and run systems dynamics models by means of the Vensim software- identify feedback cycles and reasons for unintended systems behavior- analyse the stability of nonlinear dynamical systems and apply this to macroeconomic dynamics Inhalt Why are problems not simple? Why do some systems behave in an unintended way? How can we model and control their dynamics? The course provides answers to these questions by using a broad range of methods encompassing systems oriented management, classical systems dynamics, nonlinear dynamics and macroeconomic modeling. The course is structured along three main tasks: 1. Finding solutions2. Implementing solutions3. Controlling solutionsPART 1 introduces complexity as a system immanent property that cannot be simplified. It introduces the problem solving cycle, used in systems oriented management, as an approach to structure problems and to find solutions.PART 2 discusses selected problems of project management when implementing solutions. Methods for identifying the critical path of subtasks in a project and for calculating the allocation of resources are provided. The role of quality control as an additional feedback loop and the consequences of small changes are discussed.PART 3, by far the largest part of the course, provides more insight into the dynamics of existing systems. Examples come from biology (population dynamics), management (inventory modeling, technology adoption, production systems) and economics (supply and demand, investment and consumption). For systems dynamics models, the software program VENSIM is used to evaluate the dynamics. For economic models analytical approaches, also used in nonlinear dynamics and control theory, are applied. These together provide a systematic understanding of the role of feedback loops and instabilities in the dynamics of systems. Emphasis is on oscillating phenomena, such as business cycles and other life cycles. Weekly self-study tasks are used to apply the concepts introduced in the lectures and to come to grips with the software program VENSIM.Another objective of the self-study tasks is to practice efficient communication of such concepts.These are provided as home work and two of these will be graded (see "Prerequisites"). Skript The lecture slides are provided as handouts - including notes and literature sources - to registered students only. All material is to be found on the Moodle platform. More details during the first lecture

### Leistungskontrolle

 Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) Leistungskontrolle als Semesterkurs ECTS Kreditpunkte 3 KP Prüfende F. Schweitzer Form Semesterendprüfung Prüfungssprache Englisch Repetition Es wird ein Repetitionstermin in den ersten zwei Wochen des unmittelbar nachfolgenden Semesters angeboten. Prüfungsmodus schriftlich 90 Minuten Zusatzinformation zum Prüfungsmodus The end-of-semester examination will account for 70% of the grade.The self-study tasks contribute to the compulsory continuous performance assessment (obligatorisches Leistungselement) and account for 30% to the final grade.The Leistungselement contains several modules: one obligatory self-study tasks (self-assessment, pass/fail), one group activity (one out of 3 group exercises, 15% of grade), and one individual submission (one out of 6 individual exercises, 15% of grade).Students will also be required to submit peer feedback about self-study solutions of other students (4 feedback submissions in total).The 30% Leistungselement is conditional on the pass/fail self-assessment exercise and the four feedback submissions. Hilfsmittel schriftlich Keine Online-Prüfung Die Prüfung kann am Computer stattfinden. Fernprüfung Das Ablegen als Fernprüfung ist nicht möglich.

### Lernmaterialien

 Keine öffentlichen Lernmaterialien verfügbar. Es werden nur die öffentlichen Lernmaterialien aufgeführt.

### Gruppen

 Keine Informationen zu Gruppen vorhanden.

### Einschränkungen

 Keine zusätzlichen Belegungseinschränkungen vorhanden.

### Angeboten in

StudiengangBereichTyp
Agrarwissenschaften MasterMethods in Agricultural EconomicsW
Informatik BachelorErgänzungW
Management, Technologie und Ökonomie MasterQuantitative und Qualitative Methoden zur Lösung komplexer ProblemeW+
MAS in Management, Technology, and EconomicsQuantitative and Qualitative Methods for Solving Complex ProblemsW+
Maschineningenieurwissenschaften BachelorManagement, Technology and EconomicsW+
Maschineningenieurwissenschaften MasterMechanics, Materials, StructuresW
Mathematik MasterSystems DesignW
Physik MasterAllgemeine WahlfächerW
Raumentwicklung und Infrastruktursysteme MasterVertiefungsfächer für alle VertiefungenW
Umweltnaturwissenschaften MasterModellierung und statistische DatenanalyseW