Modules / Lectures
Module NameDownload
noc21-mg47_Assinment_1_Week_1noc21-mg47_Assinment_1_Week_1
noc21-mg47_Assinment_1_Week_2noc21-mg47_Assinment_1_Week_2
noc21-mg47_Assinment_1_Week_3noc21-mg47_Assinment_1_Week_3
noc21-mg47_Assinment_1_Week_4noc21-mg47_Assinment_1_Week_4
noc21-mg47_Assinment_1_Week_5noc21-mg47_Assinment_1_Week_5
noc21-mg47_Assinment_1_Week_6noc21-mg47_Assinment_1_Week_6
noc21-mg47_Assinment_1_Week_7noc21-mg47_Assinment_1_Week_7
noc21-mg47_Assinment_1_Week_8noc21-mg47_Assinment_1_Week_8


Sl.No Chapter Name MP4 Download
1Lecture 01: Introduction of QualityDownload
2Lecture 02: Voice of the Customer and Kano ModelDownload
3Lecture 03: Quality Function DeploymentDownload
4Lecture 04: Critical to Quality CharacteristicsDownload
5Lecture 05: Data Visualization for Quality Control and ImprovementDownload
6Lecture 06: Importance of Pareto Chart and Cause and Effect DiagramDownload
7Lecture 07: Design Failure Mode and Effect AnalysisDownload
8Lecture 08: Introduction to Statistical Process ControlDownload
9Lecture 09: X-bar and R ChartDownload
10Lecture 10: X-bar and S ChartDownload
11Lecture 11: Individual Moving Range Chart and Attribute ChartDownload
12Lecture 12: Attribute Control Charts and Process CapabilityDownload
13Lecture 13: Process Capability IndexDownload
14Lecture 14: Process Performance and Sigma LevelDownload
15Lecture 15: Process Capability for Attribute dataDownload
16Lecture 16: Basic Statistics & Confidence IntervalDownload
17Lecture 17: Hypothesis TestingDownload
18Lecture 18: One-sample t TestDownload
19Lecture 19: Two-sample t TestDownload
20Lecture 20: Paired t Test and ANOVADownload
21Lecture 21: One-way ANOVADownload
22Lecture 22: One-way ANOVA (Continued)Download
23Lecture 23: ANCOVA and Nonparametric TestDownload
24Lecture 24: Linear RegressionDownload
25Lecture 25: Linear Regression(Continued) and Multiple RegressionDownload
26Lecture 26: Best Subset Regression , MulticollinearityDownload
27Lecture 27: Multicollinearity, Best Subset Regression, Multiple Regression, Basics on Design of ExperimentDownload
28Lecture 28: Design of Experiment, One-factor-at-a-time experimentDownload
29Lecture 29: Two-factor asymmetric Design, Symmetric Factorial Design, Two-way ANOVADownload
30Lecture 30: Two-factor symmetric Design, Robust setting, Two-way ANOVADownload
31Lecture 31: Measurement System AnalysisDownload
32Lecture 32: Measurement System Analysis (Contd.)Download
33Lecture 33: Measurement System Analysis (Contd.), Introduction to Factorial ExperimentsDownload
34Lecture 34: Factorial ExperimentsDownload
35Lecture 35: Factorial Experiments (Contd.)Download
36Lecture 36: Factorial Experiments (Contd.)Download
37Lecture 37: Blocking in Factorial DesignDownload
38Lecture 38: Multiple response Optimization & RSMDownload
39Lecture 39: Fractional Factorial DesignDownload
40Lecture 40: Taguchi Method Download

Sl.No Chapter Name English
1Lecture 01: Introduction of QualityPDF unavailable
2Lecture 02: Voice of the Customer and Kano ModelPDF unavailable
3Lecture 03: Quality Function DeploymentPDF unavailable
4Lecture 04: Critical to Quality CharacteristicsPDF unavailable
5Lecture 05: Data Visualization for Quality Control and ImprovementPDF unavailable
6Lecture 06: Importance of Pareto Chart and Cause and Effect DiagramPDF unavailable
7Lecture 07: Design Failure Mode and Effect AnalysisPDF unavailable
8Lecture 08: Introduction to Statistical Process ControlPDF unavailable
9Lecture 09: X-bar and R ChartPDF unavailable
10Lecture 10: X-bar and S ChartPDF unavailable
11Lecture 11: Individual Moving Range Chart and Attribute ChartPDF unavailable
12Lecture 12: Attribute Control Charts and Process CapabilityPDF unavailable
13Lecture 13: Process Capability IndexPDF unavailable
14Lecture 14: Process Performance and Sigma LevelPDF unavailable
15Lecture 15: Process Capability for Attribute dataPDF unavailable
16Lecture 16: Basic Statistics & Confidence IntervalPDF unavailable
17Lecture 17: Hypothesis TestingPDF unavailable
18Lecture 18: One-sample t TestPDF unavailable
19Lecture 19: Two-sample t TestPDF unavailable
20Lecture 20: Paired t Test and ANOVAPDF unavailable
21Lecture 21: One-way ANOVAPDF unavailable
22Lecture 22: One-way ANOVA (Continued)PDF unavailable
23Lecture 23: ANCOVA and Nonparametric TestPDF unavailable
24Lecture 24: Linear RegressionPDF unavailable
25Lecture 25: Linear Regression(Continued) and Multiple RegressionPDF unavailable
26Lecture 26: Best Subset Regression , MulticollinearityPDF unavailable
27Lecture 27: Multicollinearity, Best Subset Regression, Multiple Regression, Basics on Design of ExperimentPDF unavailable
28Lecture 28: Design of Experiment, One-factor-at-a-time experimentPDF unavailable
29Lecture 29: Two-factor asymmetric Design, Symmetric Factorial Design, Two-way ANOVAPDF unavailable
30Lecture 30: Two-factor symmetric Design, Robust setting, Two-way ANOVAPDF unavailable
31Lecture 31: Measurement System AnalysisPDF unavailable
32Lecture 32: Measurement System Analysis (Contd.)PDF unavailable
33Lecture 33: Measurement System Analysis (Contd.), Introduction to Factorial ExperimentsPDF unavailable
34Lecture 34: Factorial ExperimentsPDF unavailable
35Lecture 35: Factorial Experiments (Contd.)PDF unavailable
36Lecture 36: Factorial Experiments (Contd.)PDF unavailable
37Lecture 37: Blocking in Factorial DesignPDF unavailable
38Lecture 38: Multiple response Optimization & RSMPDF unavailable
39Lecture 39: Fractional Factorial DesignPDF unavailable
40Lecture 40: Taguchi Method PDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available