Syllabus

Title
1351 Supply Chain Finance and Risks 2 (FR 2)
Instructors
Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/23/19 to 09/27/19
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 11/25/19 09:00 AM - 12:30 PM D2.0.038
Monday 12/02/19 09:00 AM - 12:30 PM D2.-1.019 Workstation-Raum
Monday 12/02/19 09:00 AM - 12:30 PM D2.0.038
Monday 12/09/19 09:00 AM - 12:30 PM D2.0.038
Monday 12/09/19 09:15 AM - 12:30 PM D2.-1.019 Workstation-Raum
Monday 12/16/19 09:00 AM - 12:30 PM D2.0.038
Monday 01/13/20 09:00 AM - 12:30 PM D2.0.038
Monday 01/20/20 09:00 AM - 12:30 PM TC.5.14
Monday 01/27/20 10:00 AM - 12:30 PM D2.0.038
Contents

The course provides the basics of supply chain riskmanagement with applications to different supply chain management problems. Thetopics to be covered include:

  • basics of risk management process
  • risk measures such as value at risk, conditional value atrisk, and mean-deviation rules
  • including risks in strategic network decisions
  • operational mitigation strategies for dealing with supplydisruptions
Learning outcomes
Students will become familiar withrisk management strategies applicable to specific risk sources. Further, students will be able toapply quantitative methods to measure and optimize decisions under risks.
Attendance requirements

Attendance is required in all sessions. Absence in one session is tolerated if a reasonable excuse is given before the session. 

Teaching/learning method(s)
  • Lectures with discussions
  • Literature reviews
  • Case studies
Assessment
  • Group assignments (30%)
  • Case study report - individual (10%)
  • Paper presentation and discussion (15+5%)
  • Final exam (40%)

 

Grading scale:

(1) Excellent: 90% - 100%

(2) Good: 80% - <90%

(3) Satisfactory: 70% - <80%

(4) Sufficient: 60% - <70%

(5) Fail: <60%

 

    Prerequisites for participation and waiting lists

    Incoming students (exchange programs):

    min. 5 ECTS credits in Operations Research and/or Management Science (linear programming, basics of probability theory).

    Last edited: 2019-11-25



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