312.221 (20S) Partial Differential Equations 1, exercises
Überblick
- Lehrende/r
- LV-Titel englisch Partial Differential Equations 1, exercises
- LV-Art Übung (prüfungsimmanente LV )
- Semesterstunde/n 1.0
- ECTS-Anrechnungspunkte 2.0
- Anmeldungen 2 (25 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 11.03.2020
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
See the lecture
Lehrmethodik inkl. Einsatz von eLearning-Tools
Exercise presentation
Inhalt/e
See the lecture
Erwartete Vorkenntnisse
See the lecture
Curriculare Anmeldevoraussetzungen
See the lecture
Literatur
See the lecture
Prüfungsinformationen
Prüfungsmethode/n
The exercise sheet is uploaded to Moodle a week before the class. All students are encouraged to do the assignments weekly. Presence is required when crossing the assignments on the Kreuzsystem.
During thecourse, one student is supposed to present on the board at least two times.
The final grade relies on:
* regularly doing the exercises
* good presentation.
Beurteilungskriterien/-maßstäbe
In total, 100 points can be achieved as follows:
- Max. 50 points: regularly doing the assignments
- Max. 50 points: well presenting in the class.
Necessary conditions for a positive grading:
- At least over 50% of the exercises marked.
Attendance:
- If you want to get points for marking exercises without attending, there must be a reasonable ground and please contact me in time.
The final note is determined as follows:
100-88: Very good (5), 87-75: Good (4), 74-62: Satisfactory (3), 61-51: Sufficient (2), 50-0: Insufficient (1)
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Doktoratsprogramm Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(SKZ: ---, Version: 16W.1)
-
Fach: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Pflichtfach)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
- 312.221 Partial Differential Equations 1, exercises (1.0h UE / 2.0 ECTS)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
-
Fach: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Pflichtfach)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Fach: Applied Analysis
(Wahlfach)
-
4.7 Partial Differential Equations 1 (
1.0h UE / 2.0 ECTS)
- 312.221 Partial Differential Equations 1, exercises (1.0h UE / 2.0 ECTS)
-
4.7 Partial Differential Equations 1 (
1.0h UE / 2.0 ECTS)
-
Fach: Applied Analysis
(Wahlfach)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Fach: Applied Mathematics
(Wahlfach)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
- 312.221 Partial Differential Equations 1, exercises (1.0h UE / 2.0 ECTS)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
-
Fach: Applied Mathematics
(Wahlfach)
- Masterstudium Technische Mathematik
(SKZ: 401, Version: 13W.1)
-
Fach: Angewandte Analysis
(Wahlfach)
-
Dynamische Systeme 2 (
3.0h VU / 6.0 ECTS)
- 312.221 Partial Differential Equations 1, exercises (1.0h UE / 2.0 ECTS)
-
Dynamische Systeme 2 (
3.0h VU / 6.0 ECTS)
-
Fach: Angewandte Analysis
(Wahlfach)
- Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften
(SKZ: 786, Version: 12W.4)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
- 312.221 Partial Differential Equations 1, exercises (1.0h UE / 2.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)