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Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >> Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme) >>
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Exercises to Simulation and Modeling 1 (ESaM1)- Verantwortliche
- Lisa Maile, M. Sc., Daniel Scharrer, M. Sc.
- Angaben
- Übung
2 SWS, ECTS-Studium, ECTS-Credits: 2,5
nur Fachstudium, Sprache Englisch
- Studienfächer / Studienrichtungen
- PF CE-BA-G 5
WF CE-MA-INF 7-9
WPF INF-BA-V-KS ab 5
WPF MB-BA-FG13 3-6
WPF MB-MA-FG13 1-3
WPF ME-BA-MG15 3-6
WPF ME-MA-MG15 1-3
WPF IuK-MA-REA-INF 1-4
WPF IuK-MA-KN-INF 1-4
- Voraussetzungen / Organisatorisches
- In case of any questions, contact simmod1@i7.informatik.uni-erlangen.de
Exercise class
Tuesday, 12:15 - 13:45, Room 01.153-113, Martensstr. 3, Erlangen
Tuesday, 14:15 - 15:45, Room 01.153-113, Martensstr. 3, Erlangen
(Supervised) Computer hours
Monday, 14:00 - 16:00, Room 01.153-113, Martensstr. 3, Erlangen
- ECTS-Informationen:
- Title:
- Exercises to: Simulation and Modeling I
- Credits: 2,5
- Prerequisites
- The exercises will be held on Tuesday and serve for practice of theory, usage of various tools, and for preparation of assignments. On selected days, these exercise hours will serve as programming hours, where an advisor will be present in order to assist in the current assignments (supervised computer hours).
During the supervised computer hours on Monday, students are expected to work on their assignments with their teams. A computer room will be exclusively reserved for this class in the hours given below. When questions arise, the teaching assistant may be asked directly or be contacted in his office, via phone or via Email.
Beyond the exercises and computer hours, appointments for individual discussions may be arranged with the teaching assistant at any other time (also via Email). Otherwise, please limit your unappointed seek for individual assistance to the exercise or computer hours.In case of any questions, contact simmod1@i7.informatik.uni-erlangen.de
- Contents
- Calculation of expected values with the aid of probability theory, determination of confidence intervals, creation of simulation models using AnyLogic, hybrid modeling with statecharts, data collection and distribution fitting with ExpertFit.
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
www: http://www7.cs.fau.de/en/teaching/sm1-2018w
- Zugeordnet zu: Simulation and Modeling 1
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2018/2019:
- Simulation und Modellierung 1 - VÜ (SaM 1-VÜ)
Kurse
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