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 QualityDownload
Verified
2Lecture 02: Voice of the Customer and Kano ModelDownload
Verified
3Lecture 03: Quality Function DeploymentDownload
Verified
4Lecture 04: Critical to Quality CharacteristicsDownload
Verified
5Lecture 05: Data Visualization for Quality Control and ImprovementDownload
Verified
6Lecture 06: Importance of Pareto Chart and Cause and Effect DiagramDownload
Verified
7Lecture 07: Design Failure Mode and Effect AnalysisDownload
Verified
8Lecture 08: Introduction to Statistical Process ControlDownload
Verified
9Lecture 09: X-bar and R ChartDownload
Verified
10Lecture 10: X-bar and S ChartDownload
Verified
11Lecture 11: Individual Moving Range Chart and Attribute ChartDownload
Verified
12Lecture 12: Attribute Control Charts and Process CapabilityDownload
Verified
13Lecture 13: Process Capability IndexDownload
Verified
14Lecture 14: Process Performance and Sigma LevelDownload
Verified
15Lecture 15: Process Capability for Attribute dataDownload
Verified
16Lecture 16: Basic Statistics & Confidence IntervalDownload
Verified
17Lecture 17: Hypothesis TestingDownload
Verified
18Lecture 18: One-sample t TestDownload
Verified
19Lecture 19: Two-sample t TestDownload
Verified
20Lecture 20: Paired t Test and ANOVADownload
Verified
21Lecture 21: One-way ANOVADownload
Verified
22Lecture 22: One-way ANOVA (Continued)Download
Verified
23Lecture 23: ANCOVA and Nonparametric TestDownload
Verified
24Lecture 24: Linear RegressionDownload
Verified
25Lecture 25: Linear Regression(Continued) and Multiple RegressionDownload
Verified
26Lecture 26: Best Subset Regression , MulticollinearityDownload
Verified
27Lecture 27: Multicollinearity, Best Subset Regression, Multiple Regression, Basics on Design of ExperimentDownload
Verified
28Lecture 28: Design of Experiment, One-factor-at-a-time experimentDownload
Verified
29Lecture 29: Two-factor asymmetric Design, Symmetric Factorial Design, Two-way ANOVADownload
Verified
30Lecture 30: Two-factor symmetric Design, Robust setting, Two-way ANOVADownload
Verified
31Lecture 31: Measurement System AnalysisDownload
Verified
32Lecture 32: Measurement System Analysis (Contd.)Download
Verified
33Lecture 33: Measurement System Analysis (Contd.), Introduction to Factorial ExperimentsDownload
Verified
34Lecture 34: Factorial ExperimentsDownload
Verified
35Lecture 35: Factorial Experiments (Contd.)Download
Verified
36Lecture 36: Factorial Experiments (Contd.)Download
Verified
37Lecture 37: Blocking in Factorial DesignDownload
Verified
38Lecture 38: Multiple response Optimization & RSMDownload
Verified
39Lecture 39: Fractional Factorial DesignDownload
Verified
40Lecture 40: Taguchi Method Download
Verified


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