Six Sigma Green Belt (Summer School)

Academic Study Board of the Faculty of Engineering

Teaching language: English
EKA: T900032102
Censorship: Second examiner: None
Grading: 7-point grading scale
Offered in: Odense
Offered in: Summer school (spring)
Level: Bachelor of Engineering

Course ID: T900032101
ECTS value: 5

Date of Approval: 01-12-2020


Duration: Intensive course

Version: Approved - active

Course ID

T900032101

Course Title

Six Sigma Green Belt (Summer School)

ECTS value

5

Internal Course Code

XS462SIX

Responsible study board

Academic Study Board of the Faculty of Engineering

Date of Approval

01-12-2020

Course Responsible

Name Email Department
Charlotte Nelann Rabjerg cnra@tek.sdu.dk Uddannelsesadministration, Den Tekniske Fakultetsadministration
Mads Bruun Larsen mabl@iti.sdu.dk Institut for Teknologi og Innovation , SDU Engineering Operations Management

Programme Secretary

Name Email Department City
Susanne Fogtmann sfo@tek.sdu.dk TEK Uddannelseskoordinering og -support , Den Tekniske Fakultetsadministration Odense

Offered in

Odense

Level

Bachelor of Engineering

Offered in

Summer school (spring)

Duration

Intensive course

Mandatory prerequisites

2.5 ECTS Statistics

Learning objectives - Knowledge

  • History and context of Six Sigma
  • DMAIC methodology including project roles
  • Tools from Six Sigma e.g. MSA, SPC, Hypothesis testing, project management skills relevant for Six Sigma

Learning objectives - Skills

  • Apply Six Sigma tools correct and in the right context
  • Apply project management tools as appropriate

Learning objectives - Competences

  • Drive a Six Sigma project with the appropriate use of tools

Content

Six Sigma has gained acceptance in industry as the de facto standard for structured and advanced problem solving. This course will enable you to participate in and run Six Sigma projects. You will learn the tools of Six Sigma which will be a mix of tools at green and black belt level. The teaching will be experimental in nature with a mix of hands-on exercises and more traditional calculations in statistical software like Excel or SAS JMP; no prior experience needed.

The course emphaizes that the students learn practical skills that enable them to apply their knowledge in a practical context.

You will learn from an experienced instructor with industrial experience from training and coaching Six Sigma in Denmark and abroad.

URL for MySchedule

Teaching Method

The teaching will be a mix of hands-on exercises, lecturing and analysis in software like SAS JMP or Excel (SAS JMP available at SDU).

Time of classes
Two weeks in August

Number of lessons

hours per week

Teaching language

English

Examination regulations

Exam regulations

Name

Exam regulations

Examination is held

At the end of the summer course.

Tests

Exam

EKA

T900032102

Name

Exam

Description

The examination is based on an overall assessment of

  • Attendance (80%)
  • MCQ-test


Form of examination

Written exam

Censorship

Second examiner: None

Grading

7-point grading scale

Identification

Student Identification Card - Date of birth

Language

English

ECTS value

5

Additional information

Enrollment is limited to 30 students. If more applicants than places, applicants who meet the mandatory requirements are prioritised according to the below selection criteria:

  1. Undergraduate and graduate students from partner universities (exchange); international undergraduate and graduate guest students (fee-paying); undergraduate and graduate students from other Danish universities. 
  2. Ph.D students from partner universities and other international Ph.D. students; other applicants. 

Students are prioritised on a first come, first served basis, i.e. according to the time we receive your complete application. 

In case a course is filled up, we try to offer you an alternative course from your list of priorities. All final decisions about admission will be sent out continually.  

Courses offered

Period Offer type Profile Programme Semester

Studieforløb

Profile Programme Semester Period