COURSE CALENDAR
This course lectures run from June 15 - August 17, 2016 (10 weeks)
and the course ends on September 1, 2016.

The homework sets are due at 23:30 UTC (*check your time zone!)

27 July 2016 (Homework Session 3)
10 Aug 2016 (Homework Session 5)
17 Aug 2016 (Homework Session 6)
24 Aug 2016 (Homework Session 7)
31 Aug 2016 (Homework Session 8)

COURSE SYLLABUS AND RELEASE DATES:

Session 0: Course Welcome - June 15, 2016
0.1 Welcome & DMAIC Cycle
0.2 Course Structure
0.3 Getting to Know You

Session 1: DEFINE - June 15, 2016
1.0 Intro - DEFINE
1.1 LECTURE: Defining Quality
1.2 LECTURE: Understanding Customer Expectations
1.2 PRACTICE: Problem Definition

1 PROJECT - DEFINE - Defining Customer Expectations

Session 2: MEASURE - June 22, 2016
2.0 Intro - MEASURE
2.1 LECTURE: Probability vs Statistics
2.2 LECTURE: Probability Distributions & Random Variables
2.3 LECTURE: Important Probability Distributions

Session 3: MEASURE - June 29, 2016
3.0 Intro - MEASURE
3.1 LECTURE: Normal Distribution
3.1 PRACTICE: Standard Normal Distribution
3.1 EXERCISE: Normal Distribution
3.2 LECTURE: Central Limit Theorem
3.2 PRACTICE: Distribution of Sample Average
3.2 PRACTICE: Central Limit Theorem
3.2 EXERCISE: Central Limit Theorem

3 HOMEWORK: due July 27, 2016 23:30 UTC *Please check your time zone!

3 PROJECT: MEASURE - Establish Baseline Process

Session 4: MEASURE -  July 6, 2016
4.0 Intro - MEASURE
4.1 LECTURE: Measurement Theory & Sampling Plans
4.1 PRACTICE: Process Mapping
4.2 LECTURE: Descriptive vs Inferential Statistics
4.2 CASE EXAMPLE: Descriptive vs Inferential Statistics
4.2 PRACTICE: Central Limit Theorem

4 PROJECT: MEASURE - Process Mapping

Session 5: ANALYZE - July 13, 2016
5.0 Intro - ANALYZE
5.1 LECTURE: Confidence Intervals
5.1 PRACTICE: Confidence Intervals
5.2 LECTURE: Hypothesis Testing
5.2 PRACTICE: Hypothesis Testing
5.2 EXERCISE: Hypothesis Testing

5 HOMEWORK: due August 10, 2016 23:30 UTC *Please check your time zone!

Session 6: ANALYZE - July 20, 2016
6.0 Intro - ANALYZE
6.1 LECTURE: Process Capability
6.1 PRACTICE: Process Capability
6.1 EXERCISE: Process Capability
6.2 LECTURE: Regression & Correlation
6.2 PRACTICE: Regression & Correlation

6 HOMEWORK: due August 17, 2016 23:30 UTC *Please check your time zone!

6 CASE STUDY: Production Problem at Melon Helmets
6 PROJECT: ANALYZE - Root Cause Analysis

Session 7: IMPROVE - July 27, 2016
7.0 Intro - IMPROVE
7.1 LECTURE: Design of Experiments
7.1 PRACTICE: Design of Experiments
7.2 LECTURE: Analysis of Variance

7.2 GUEST LECTURE: Example DOE using Minitab

7 HOMEWORK: due August 24, 2016 23:30 UTC *Please check your time zone!

Session 8: CONTROL - August 3, 2016
8.0 Intro - CONTROL
8.1 LECTURE: Process Control & Control Charts
8.2 LECTURE: X-bar and R Charts
8.2 PRACTICE: X-bar & R-Charts, Control Limit Calculation
8.2 LECTURE: Case Study: Rational Subgrouping

8 HOMEWORK: due August 31, 2016 23:30 UTC *Please check your time zone!

8 CASE STUDY: SPC at Melon Helmets
8 PROJECT: CONTROL

Session 9: Six-Sigma Project (Part 1: DEFINE/MEASURE) - August 10, 2016

Session 10: Six-Sigma Project (Part 2: ANALYSE/IMPROVE/CONTROL) & Course Summary - August 17, 2016

Project 2 (Optional): Process Improvement at Kopfschitz Kerzen