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Survei Materi Pelatihan Minitab

Survei Materi Pelatihan Minitab

Survei Materi Pelatihan Minitab

Kami informasikan Direktorat Teknologi Informasi (DTI) ITB sedang melakukan survei materi untuk pelatihan/workshop Minitab yang akan diselenggarakan oleh Minitab dan Masindo (Distributor Lisensi Minitab Indonesia). Pelatihan Minitab akan dilaksanakan pada tanggal 7 dan 8 Juli 2023.

Kami mohon kesediaan Bapak/Ibu untuk berpartisipasi dalam survei ini dengan memilih materi pelatihan yang paling sesuai dengan kebutuhan sivitas akademika ITB. Survei dapat di akses pada tautan berikut https://s.id/SurveiMateriPelatihanMinitab.

Atas partisipasi dan kerjasamanya, kami ucapkan terima kasih.

MINITAB TRAINING PACKAGE

TRAINING PACKAGE 1 : MINITAB ESSENTIAL

Day 1

The Topics Include:

Introduction to Minitab

Data Management

Data Distribution and Normality Test

Hypothesis Test: Continuous Data

Sample Size Calculation

(Optional) Hypothesis Test for Attribute Data

Day 2

The Topics Include:

Analysis of Variance

  • One factor Anova
  • Determining power and number of replication
  • Compare means across samples
  • More-than-one factor Anova

Correlation and Simple Regression

Multiple Correlation and Regression

TRAINING PACKAGE 2: MINITAB INTERMEDIATE

Statistical Quality Analysis

Day 1

The Topics Include:

Measurement System Analysis: Continuous Data (Gage R&R)

Preparing Minitab Worksheet

Data Analysis

Control Charts for Continuous Data

Control Charts for Attribute Data

Capability Analysis: Continuous Data

Day 2

The Topics Include:

Gage R&R Expanded

Orthogonal Regression

Short-Run Control Charts

Time-Weighted Control Charts

Capability Analysis Using Assistant

(Optional) Between/Within Analysis

TRAINING PACKAGE 3: MINITAB ADVANCED

Factorial Designs and DoE In Practice

Day 1

The Topics Include:

Overview of Designed Experiments

Introduction to Factorial Designs

Full Factorial Designs

Fractional Factorial Designs

Multiple Response Optimization

Day 2

The Topics Include:

Analyze Variability

DOE with a Covariate

Missing Data in a Designed Experiment

Split-Plot Designs for Hard-To-Change Variables

Cost Optimization

(Optional) Experiment with Binary Response