LOG904-156 Analytics and the Digital in Supply Chain (Autumn 2020)

About the course

This course focus on how we apply capabilities around Big Data, Data Visualization, Analytics (statistics, mathematics) and Machince Learning on Supply Chain & Operations. It will look at how this affects the dimensions of Intelligence (decision making) and Automation (towards artificial intelligence). It will also look at how companies implement such capabilities organizationally. We will also discuss how the Automation (Artificial Intelligence) approaches affects the role of the human. The course will be a “pragmatic” journey where we will not focus too much on the theory but rather go in from a business angle and see how the new capabilitiea provides solutinos to challenges as well as open up for new opportunities

 

Topics covered: Supply Chain Management, Analytics, Intelligent Automation, Machine Learning, Artificial Intelligence, Responsible AI

The course is connected to the following study programs

• Master of Science in Logistics
• Experience-based Master in Logistics
• Master of Science in Sustainable Energy Logistics
• Exchange programme - Master's level
• Master of Science in Sustainable Transport and Urban Mobility

Recommended requirements

Supply Chain Management and Basic Analytics

The student's learning outcomes after completing the course

Understand how Supply Chain Management and Operations are being affected by technologies related with Big Data and Analytics both from a functional, process as organizational perspective.

Forms of teaching and learning

Morning lectures. Exercises/case studies for self study. Friday group exame presentation where each group would present a data based roadmap .

Examination

Form of assessment: Home assessment without presentation

• Proportion: 100%

• Duration: -

• Grouping: Group

• Grading scale: Letter (A - F)

• Support material: All printed and written supporting material