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105.656
Privatissimum for diploma and doctoral candidates
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.
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2020S, PV, 2.0h, 3.0EC
TUWEL course
Properties
Semester hours: 2.0
Credits: 3.0
Type: PV Research Seminar
Learning outcomes
After successful completion of the course, students are able to present results of the theses to other students and their supervisor_s, and they are able to discuss important issues related to their theses.
Subject of course
The main focus is the further development and application of methods of dynamic optimization to socio-economic and technical problems.
Teaching methods
Discussins
Mode of examination
Immanent
Lecturers
Veliov, Vladimir
Institute
E105 Institute of Statistics and Mathematical Methods in Economics
Course dates
Day
Time
Date
Location
Description
Thu
15:00 - 16:00
12.03.2020 - 25.06.2020
Privatissimum for diploma and doctoral candidates
Show single appointments
Privatissimum for diploma and doctoral candidates - Single appointments
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P
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Day
Date
Time
Location
Description
Thu
12.03.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
19.03.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
26.03.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
02.04.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
23.04.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
30.04.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
07.05.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
14.05.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
28.05.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
04.06.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
18.06.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
Thu
25.06.2020
15:00 - 16:00
Privatissimum for diploma and doctoral candidates
F
P
1
N
E
Examination modalities
Master Thesis or a PhD thesis
Course registration
Not necessary
Curricula
Study Code
Obligation
Semester
Precon.
Info
860 FW Elective Courses - Technical Mathematics
Elective
Literature
No lecture notes are available.
Language
if required in English
