Modules / Lectures
Module NameDownload
noc20_mg19_assigment_1noc20_mg19_assigment_1
noc20_mg19_assigment_10noc20_mg19_assigment_10
noc20_mg19_assigment_11noc20_mg19_assigment_11
noc20_mg19_assigment_12noc20_mg19_assigment_12
noc20_mg19_assigment_13noc20_mg19_assigment_13
noc20_mg19_assigment_2noc20_mg19_assigment_2
noc20_mg19_assigment_3noc20_mg19_assigment_3
noc20_mg19_assigment_4noc20_mg19_assigment_4
noc20_mg19_assigment_5noc20_mg19_assigment_5
noc20_mg19_assigment_6noc20_mg19_assigment_6
noc20_mg19_assigment_7noc20_mg19_assigment_7
noc20_mg19_assigment_8noc20_mg19_assigment_8
noc20_mg19_assigment_9noc20_mg19_assigment_9


Sl.No Chapter Name MP4 Download
1Lecture 1 : Brief overview of the courseDownload
2Lecture 2 : Quality concepts and definitionDownload
3Lecture 3 : History of continuous improvementDownload
4Lecture 4 : Six Sigma Principles and Focus Areas (Part 1)Download
5Lecture 5 : Six Sigma Principles and Focus Areas (Part 2)Download
6Lecture 6 : Six Sigma ApplicationsDownload
7Lecture 7: Quality Management: Basics and Key ConceptsDownload
8Lecture 8: Fundamentals of Total Quality ManagementDownload
9Lecture 9: Cost of qualityDownload
10Lecture 10: Voice of customer Download
11Lecture 11:Quality Function Deployment (QFD)Download
12Lecture 12: Management and Planning Tools (Part 1)Download
13Lecture 13: Management and Planning Tools (Part 2)Download
14Lecture 14 : Six Sigma Project Identification, Selection and Definition Download
15Lecture 15 : Process characteristics and MonitoringDownload
16Lecture 16 : Process characteristics and analysisDownload
17Lecture 17 : Process Mapping: SIPOCDownload
18Lecture 18 : Data Collection and Summarization (Part 1)Download
19Lecture 19 : Data Collection and Summarization (Part 2)Download
20Lecture 20 : Measurement systems: FundamentalsDownload
21Lecture 21 : Measurement systems analysis: Gage R&R studyDownload
22Lecture 22 : Fundamentals of statisticsDownload
23Lecture 23 : Probability theoryDownload
24Lecture 24 : Process capability analysis: Key ConceptsDownload
25Lecture 25 : Process capability analysis: Measures and Indices Download
26Lecture 26 : Process capability analysis: Minitab ApplicationDownload
27Lecture 27 : Non-normal process capability analysisDownload
28Lecture 28 : Hypothesis testing: FundamentalsDownload
29Lecture 29 : Hypothesis Testing: Single Population TestDownload
30Lecture 30 : Hypothesis Testing: Two Population TestDownload
31Lecture 31 : Hypothesis Testing: Two Population: Minitab ApplicationDownload
32Lecture 32 : Correlation and Regression AnalysisDownload
33Lecture 33 : Regression Analysis: Model ValidationDownload
34Lecture 34: One-Way ANOVADownload
35Lecture 35: Two-Way ANOVADownload
36Lecture 36: Multi-vari AnalysisDownload
37Lecture 37: Failure Mode Effect Analysis (FMEA)Download
38Lecture 38: Introduction to Design of ExperimentDownload
39Lecture 39: Randomized Block DesignDownload
40Lecture 40: Randomized Block Design: Minitab ApplicationDownload
41Lecture 41: Factorial DesignDownload
42Lecture 42: Factorial Design: Minitab ApplicationDownload
43Lecture 43: Fractional Factorial DesignDownload
44Lecture 44: Fractional Factorial Design: Minitab ApplicationDownload
45Lecture 45: Taguchi Method: Key ConceptsDownload
46Lecture 46: Taguchi Method: Illustrative ApplicationDownload
47Lecture 47 : Seven QC ToolsDownload
48Lecture 48 : Statistical Process Control: Key ConceptsDownload
49Lecture 49 : Statistical Process Control: Control Charts for VariablesDownload
50Lecture 50 : Operating Characteristic (OC) Curve for Variable Control chartsDownload
51Lecture 51 : Statistical Process Control: Control Charts for AttributesDownload
52Lecture 52 : Operating Characteristic (OC) Curve for Attribute Control chartsDownload
53Lecture 53 : Statistical Process Control: Minitab ApplicationDownload
54Lecture 54 : Acceptance Sampling: Key ConceptsDownload
55Lecture 55 : Acceptance Sampling Plans for Attributes: Key ConceptsDownload
56Lecture 56 : Design of Acceptance Sampling Plans for AttributesDownload
57Lecture 57 : Acceptance Sampling Plans for Variables Download
58Lecture 58 : Acceptance Sampling: Minitab ApplicationDownload
59Lecture 59: Design for Six Sigma (DFSS): DMADV, DMADOVDownload
60Lecture 60: Design for Six Sigma (DFSS): DFXDownload
61Lecture 61: Team ManagementDownload
62Lecture 62: Six Sigma: Case studyDownload
63Lecture 63: Six Sigma: Summary of key concepts Download

Sl.No Chapter Name English
1Lecture 1 : Brief overview of the courseDownload
Verified
2Lecture 2 : Quality concepts and definitionDownload
Verified
3Lecture 3 : History of continuous improvementDownload
Verified
4Lecture 4 : Six Sigma Principles and Focus Areas (Part 1)Download
Verified
5Lecture 5 : Six Sigma Principles and Focus Areas (Part 2)Download
Verified
6Lecture 6 : Six Sigma ApplicationsDownload
Verified
7Lecture 7: Quality Management: Basics and Key ConceptsDownload
Verified
8Lecture 8: Fundamentals of Total Quality ManagementDownload
Verified
9Lecture 9: Cost of qualityDownload
Verified
10Lecture 10: Voice of customer Download
Verified
11Lecture 11:Quality Function Deployment (QFD)Download
Verified
12Lecture 12: Management and Planning Tools (Part 1)Download
Verified
13Lecture 13: Management and Planning Tools (Part 2)Download
Verified
14Lecture 14 : Six Sigma Project Identification, Selection and Definition Download
To be verified
15Lecture 15 : Process characteristics and MonitoringDownload
To be verified
16Lecture 16 : Process characteristics and analysisDownload
To be verified
17Lecture 17 : Process Mapping: SIPOCDownload
To be verified
18Lecture 18 : Data Collection and Summarization (Part 1)Download
Verified
19Lecture 19 : Data Collection and Summarization (Part 2)Download
Verified
20Lecture 20 : Measurement systems: FundamentalsDownload
Verified
21Lecture 21 : Measurement systems analysis: Gage R&R studyDownload
Verified
22Lecture 22 : Fundamentals of statisticsDownload
Verified
23Lecture 23 : Probability theoryDownload
Verified
24Lecture 24 : Process capability analysis: Key ConceptsDownload
To be verified
25Lecture 25 : Process capability analysis: Measures and Indices Download
To be verified
26Lecture 26 : Process capability analysis: Minitab ApplicationDownload
To be verified
27Lecture 27 : Non-normal process capability analysisDownload
To be verified
28Lecture 28 : Hypothesis testing: FundamentalsDownload
To be verified
29Lecture 29 : Hypothesis Testing: Single Population TestDownload
To be verified
30Lecture 30 : Hypothesis Testing: Two Population TestDownload
To be verified
31Lecture 31 : Hypothesis Testing: Two Population: Minitab ApplicationDownload
To be verified
32Lecture 32 : Correlation and Regression AnalysisDownload
To be verified
33Lecture 33 : Regression Analysis: Model ValidationDownload
To be verified
34Lecture 34: One-Way ANOVADownload
To be verified
35Lecture 35: Two-Way ANOVADownload
To be verified
36Lecture 36: Multi-vari AnalysisDownload
To be verified
37Lecture 37: Failure Mode Effect Analysis (FMEA)Download
To be verified
38Lecture 38: Introduction to Design of ExperimentDownload
To be verified
39Lecture 39: Randomized Block DesignDownload
To be verified
40Lecture 40: Randomized Block Design: Minitab ApplicationDownload
To be verified
41Lecture 41: Factorial DesignDownload
To be verified
42Lecture 42: Factorial Design: Minitab ApplicationDownload
To be verified
43Lecture 43: Fractional Factorial DesignDownload
To be verified
44Lecture 44: Fractional Factorial Design: Minitab ApplicationDownload
To be verified
45Lecture 45: Taguchi Method: Key ConceptsDownload
To be verified
46Lecture 46: Taguchi Method: Illustrative ApplicationDownload
To be verified
47Lecture 47 : Seven QC ToolsDownload
To be verified
48Lecture 48 : Statistical Process Control: Key ConceptsDownload
To be verified
49Lecture 49 : Statistical Process Control: Control Charts for VariablesDownload
To be verified
50Lecture 50 : Operating Characteristic (OC) Curve for Variable Control chartsDownload
To be verified
51Lecture 51 : Statistical Process Control: Control Charts for AttributesDownload
To be verified
52Lecture 52 : Operating Characteristic (OC) Curve for Attribute Control chartsDownload
To be verified
53Lecture 53 : Statistical Process Control: Minitab ApplicationDownload
To be verified
54Lecture 54 : Acceptance Sampling: Key ConceptsDownload
To be verified
55Lecture 55 : Acceptance Sampling Plans for Attributes: Key ConceptsDownload
To be verified
56Lecture 56 : Design of Acceptance Sampling Plans for AttributesDownload
To be verified
57Lecture 57 : Acceptance Sampling Plans for Variables Download
To be verified
58Lecture 58 : Acceptance Sampling: Minitab ApplicationDownload
To be verified
59Lecture 59: Design for Six Sigma (DFSS): DMADV, DMADOVDownload
To be verified
60Lecture 60: Design for Six Sigma (DFSS): DFXDownload
To be verified
61Lecture 61: Team ManagementDownload
To be verified
62Lecture 62: Six Sigma: Case studyDownload
To be verified
63Lecture 63: Six Sigma: Summary of key concepts Download
To be verified


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