312.221 (20S) Partial Differential Equations 1, exercises
Overview
- Lecturer
- Course title german Partial Differential Equations 1, exercises
- Type Practical class (continuous assessment course )
- Hours per Week 1.0
- ECTS credits 2.0
- Registrations 2 (25 max.)
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment English
- Course begins on 11.03.2020
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
See the lecture
Teaching methodology including the use of eLearning tools
Exercise presentation
Course content
See the lecture
Prior knowledge expected
See the lecture
Curricular registration requirements
See the lecture
Literature
See the lecture
Examination information
Examination methodology
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.
Assessment criteria / Standards of assessment for examinations
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)
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Thematic Doctoral Programme Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(SKZ: ---, Version: 16W.1)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
-
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)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
- Master's degree programme Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Analysis
(Compulsory elective)
-
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)
-
Subject: Applied Analysis
(Compulsory elective)
- Master's degree programme Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Mathematics
(Compulsory elective)
-
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)
-
Subject: Applied Mathematics
(Compulsory elective)
- Master's degree programme Technical Mathematics
(SKZ: 401, Version: 13W.1)
-
Subject: Angewandte Analysis
(Compulsory elective)
-
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)
-
Subject: Angewandte Analysis
(Compulsory elective)
- Doctoral programme Doctoral programme in Technical Sciences
(SKZ: 786, Version: 12W.4)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
-
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)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)