Facts about the course

ECTS Credits:
7.5
Responsible department:
Faculty of Logistics
Course Leader:
Yury Redutskiy
Lecture Semester:
Autumn
Teaching language:
English
Duration:
½ year

SCM305 Applied Decision Analysis (Autumn 2022)

About the course

The emphasis in this course is on practical problem-solving with Excel and other available software to solve real-life problems in logistics systems management. Some examples of topics addressed in this course include analysis and decision-making in the areas of network design, scheduling, workforce organization, investment planning, profitability analysis. The course also covers real-life aspects relevant to management, such as handling uncertainty, analysis and integration of problem settings, and multi-criteria decision-making.

The course is connected to the following study programs

Required prerequisite knowledge

 

Recommended requirements

LOG500 Management Models and Operations Research, or equivalent.
Basic knowledge of spreadsheets (Excel) is an advantage.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
SCM305N – Applied Management Science 7.5

The student's learning outcomes after completing the course

General knowledge

Upon completing this course, the candidate:

 

  • will have broad knowledge of logistical problems and complexity of real-life logistical challenges.

  • will have broad knowledge of methods relevant to describing real-life business processes, decision-making, and addressing uncertainty.

  • will be familiar with a variery of aspects of decision-making problems.

  • will be familiar with research and development trends in logisitcs and supply chain management.

 

Skills

Upon completing this course, the candidate:

  • will be able to solve real-life problems in the area of logistics with applications such as network design, scheduling, workforce organization, etc.

  • will be able to apply spreadsheet modeling as well as relevant methods and tools for decision support.

  • will be able to come up with comprehensive and meaningful suggestions on resolving practical challenges in the given problem areas.

  • will be able to communicate the solution proposal and the results of the problem-solving.

 

General competence

Upon completing this course, the candidate:

  • has insight into the complex decision-making aspects in the context of logistics.

  • can plan and execute activites supporting decision analysis and decision-making for the given problem context.

  • can communicate academic matters such as the choice of theories and methods through any relevant form of communication.

Forms of teaching and learning

The course is taught in the flexible format: in addition to classroom teaching, it will be possible to follow the course online through video lectures and regular online Q&A meetings.

 

 

Coursework requirements - conditions for taking the exam

  • Mandatory coursework:

  • Courseworks given:

  • Courseworks required:

  • Presence: Not required

  • Comment:

Examination

  • Form of assessment: Portfolio assessment

  • Proportion: 100%

  • Duration: 1 semester

  • Grouping: Individual

  • Grading scale: Letter (A - F)

  • Supported material: All printed and written supporting material

Syllabus

Pensumoversikt

Last updated from FS (Common Student System) May 10, 2024 4:31:07 AM