Syllabus

Title
1692 SCA 1: Optimization and Simulation (Group A)
Instructors
Anton Pichler, Ph.D., PD Dr. Boualem Rabta
Contact details
Boualem Rabta: boualem.rabta@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/25/23 to 09/28/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Supply Chain Analytics - Course 1
Dates
Day Date Time Room
Monday 10/02/23 09:00 AM - 01:00 PM LC.2.064 PC Raum
Monday 10/09/23 09:00 AM - 01:00 PM LC.-1.038
Monday 10/16/23 09:00 AM - 01:00 PM LC.2.064 PC Raum
Monday 10/23/23 09:00 AM - 01:00 PM LC.-1.038
Monday 10/30/23 09:00 AM - 01:00 PM LC.-1.038
Monday 11/06/23 09:00 AM - 01:00 PM LC.-1.038
Tuesday 11/14/23 11:00 AM - 01:00 PM TC.0.01

On this page:

to top
Contents

The course provides knowledge and tools of Optimization and Simulation for problems and challenges encountered in Supply Chain Analytics (SCA).

Topics include:

Part I (Optimization):

  • Linear programming
  • Discrete programming
  • Nonlinear programming
  • Network optimization
  • Software tools for optimization (Optimization in R, various solvers)

Part II (Simulation):

  • Data analysis (Sampling, Estimation, Hypothesis testing)
  • Discrete event simulation
to top
Learning outcomes

After validating this course students will be able to identify which SCA problems are better tackled with simulation or with optimization. They will also be able to apply advanced techniques to tackle these problems, and to use advanced software to conduct these tasks.

to top
Attendance requirements

Attendance requirement is met if a student is present for at least 80% of the lectures.

to top
Teaching/learning method(s)

The course is taught using a combination of lectures, class discussions,homework exercises and in-class assignments.

to top
Assessment

The grading of this course is based on 3 components, namely, group homework, individual assignements, as well as a final exam.

Details of the assessment:

  • Homework exercises, 30 points (group work)
  • In-class assignments, 20 points (individual work)
  • Final exam, 50 points (individual work)

Grading scale:

  •     Excellent (1): 90% - 100.0%

  •     Good (2): 80% - <90%

  •     Satisfactory (3): 70% - <80%

  •     Sufficient (4): 60.0% - <70%

  •     Fail (5): <60.0%

Prerequisite for passing the course: minimum performance of 40% (20 points) in the final examination.

Remark: Content from bridging course 2148 might be included in the assignments.

to top
Prerequisites for participation and waiting lists

Students should be acquainted with the main concepts of optimization, probability and statistics.  Students are encouraged to take the bridging course "2418 - Bridging Course in Supply Chain Management: Foundation of Operations Research and Supply Chain Analytics" and review the preparatory material.

to top
Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

to top
Availability of lecturer(s)

Boualem Rabta: by appointment boualem.rabta@wu.ac.at

Anton Pichler: by appointment anton.pichler@wu.ac.at

to top
Other

Program's website: www.wu.ac.at/master/scm

Last edited: 2023-09-27



Back