The course takes place in period

2 (2022-10-24 to 2022-12-31)

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

Competencies
Within this study unit we will focus on the
following competencies:
The student should be able to make models based on
data. He/She should be able to interpret data and
make forecasts, service level requirements and use
the data to optimize and forecast processes in
order to find sustainable solutions through
digital transformation.

SDGs in focus:
1 NO POVERTY
4 QUALITY EDUCATION
5 GENDER EQUALITY
8 DECENT WORK AND ECONOMIC GROWTH
9 INDUSTRY, INNOVATION AND INFRASTRUCTURE
10 REDUCED INEQUALITIES
12 RESPONSIBLE CONSUMPTION & PRODUCTION

Learning outcomes

The student gets to know how to use Excel in
order to model operational data. This includes
Statistics, Workload forecasting, Monitoring
complex systems, Queuing, Optimizing, Service
level calculation and Inventory models. Also, the
methods are illustrated with some real-world
business problems.and thus, contribute to a more
sustainable business environment.

Course contents

Analyzing Operational Data with Excel shows you
how to solve business problems on an operational
level, using many of the Excel?s functions.
These functions are, among others, goal seek,
solver, sensitivity analysis. The course focus
on both the excel functions and business
problems that are solved with them. We will also
go through how to deal with variable
uncertainty. Using excel to solve queuing,
optimization problems, service level problems
and inventory problems.

Prerequisites and co-requisites

20 credits completed from the subject module.

Previous course names

No prior course

Recommended or required reading

To be announced later

Study activities

  • Lectures - 20 hours
  • Practical exercises - 20 hours
  • Project- and production work/artistic activities - 95 hours

Workload

  • Total workload of the course: 135 hours
  • Of which autonomous studies: 135 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Essays, reports, productions and portfolio

Assessment requirements

To pass the course the student must do the
assignments given during
the course. The assignments are giving 100 points
of 100 points in the course.

Minimum 50 points of the total 100 points is
required to pass

Teacher

Björk Kaj-Mikael

Examiner

Björk Kaj-Mikael

Group size

No limit (39 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2022-10-10 to 2022-10-20

Assessment methods

Date will be announced later - Reports and productions

Room reservations
Date Time Room Title Description Organizer
2022-10-27 12:15 - 16:15 E385 Analysing Operational Data Björk Kaj-Mikael
2022-11-03 12:15 - 16:15 F365 Analysing Operational Data Björk Kaj-Mikael
2022-11-10 12:15 - 16:15 E385 Analysing Operational Data Björk Kaj-Mikael
2022-11-15 12:30 - 16:30 F365 Analysing Operational Data Björk Kaj-Mikael
2022-11-24 12:15 - 16:15 F365 Analysing Operational Data Björk Kaj-Mikael
2022-12-01 12:15 - 16:15 F365 Analysing Operational Data Björk Kaj-Mikael
2022-12-15 12:15 - 16:15 E385 Analysing Operational Data Kaj-Mikael Björk is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://arcada.zoom.us/j/62742893195?from=addon Meeting ID: 627 4289 3195 Join by SIP 62742893195@109.105.112.236 62742893195@109.105.112.235 Join by H.323 109.105.112.236 109.105.112.235 Meeting ID: 627 4289 3195 Björk Kaj-Mikael

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