Syllabus

Title
1203 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
09/07/20 to 09/07/20
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Dates
Day Date Time Room
Monday 11/30/20 09:00 AM - 12:30 PM Online-Einheit
Monday 12/07/20 09:00 AM - 12:30 PM Online-Einheit
Monday 12/14/20 09:00 AM - 12:30 PM Online-Einheit
Monday 12/21/20 09:00 AM - 12:30 PM Online-Einheit
Monday 01/11/21 09:00 AM - 12:30 PM Online-Einheit
Monday 01/18/21 09:00 AM - 12:30 PM Online-Einheit
Monday 01/25/21 09:00 AM - 12:30 PM Online-Einheit
Procedure for the course when limited activity on campus

The Covid19 pandemic causes several uncertainties for the upcoming winter semester starting on October 5th. If possible within the then valid health regulations, the SCM program plans to fully return to the usual mode of classroom teaching with mandatory attendance. Nonetheless, an additional “plan B”-scenario for distance and/or hybrid teaching will be prepared for every class, which can be enabled if need be.

The program management will reevaluate the situation in September and will then decide whether the classes will indeed start in the usual mode or in an alternative mode. This decision will be announced in the syllabus until September 25.

***

For the class in Supply Chain Finance and Risks 2 the preferred alternative scenario would be a full distance mode. Even in the remote format, the sessions will take place within the announced time slots via MS Teams.

A change of the class mode might also alter the defined assignments. In any case the conditions of the final exam will be the same for every class participant and, hence, in distance mode an online exam.

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: 2020-07-08



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