Modules / Lectures
Module NameDownload


Sl.No Chapter Name MP4 Download
1Lecture 01_Part 1 – Motivation and Overview 1Download
2Lecture 01_Part 2 – Motivation and Overview 2Download
3Lecture 02_Part 1 – Motivation and Overview 3Download
4Lecture 02_Part 2 – Motivation and Overview 4Download
5Lecture 03_Part 1 – Journey into Identification 1Download
6Lecture 03_Part 2 – Journey into Identification 2Download
7Lecture 04_Part 1 – Journey into Identification 3Download
8Lecture 04_Part 2 – Journey into Identification (Case Studies) 4Download
9Lecture 04_Part 3 – Journey into Identification (Case Studies) 5Download
10Lecture 05_Part 1 – Journey into Identification (Case Studies) 6Download
11Lecture 05_Part 2 – Journey into Identification (Case Studies) 7Download
12Lecture 05_Part 3 – Journey into Identification (Case Studies) 8Download
13Lecture 06_Part 1 – Journey into Identification (Case Studies) 9Download
14Lecture 06_Part 2 – Journey into Identification (Case Studies) 10Download
15Lecture 07_Part 1 – Journey into Identification (Case Studies) 11Download
16Lecture 07_Part 2 – Journey into Identification (Case Studies) 12Download
17Lecture 07_Part 3 – Journey into Identification (Case Studies) 13Download
18Lecture 08_Part 1 – Journey into Identification (Case Studies) 14Download
19Lecture 08_Part 2 – Journey into Identification (Case Studies) 15Download
20Lecture 09_Part 1 – Journey into Identification (Case Studies) 16Download
21Lecture 09_Part 2 – Journey into Identification 17Download
22Lecture 10_Part 1 – Journey into Identification 18Download
23Lecture 10_Part 2 – Response-based Description 1Download
24Lecture 10_Part 3 – Response-based Description 2Download
25Lecture 11_Part 1 – Response-based Description 3Download
26Lecture 11_Part 2 – Response-based Description 4Download
27Lecture 12_Part 1 – Response-based Description 5Download
28Lecture 12_Part 2 – Response-based Description 6Download
29Lecture 12_Part 3 – Response-based Description 7Download
30Lecture 13_Part 1 – Response-based Description 8Download
31Lecture 13_Part 2 – Response-based Description 9Download
32Lecture 14_Part 1 – Response-based Description 10Download
33Lecture 14_Part 2 – Response-based Description 11Download
34Lecture 14_Part 3 – Response-based Description 12Download
35Lecture 15_Part 1 – Response-based Description 13Download
36Lecture 15_Part 2 – Discrete time LTI system 1Download
37Lecture 16_Part 1 – Discrete time LTI system 2Download
38Lecture 16_Part 2 – z-Domain Descriptions 1Download
39Lecture 17_Part 1 – z-Domain Descriptions 2Download
40Lecture 17_Part 2 – z-Domain Descriptions 3Download
41Lecture 18_Part 1 – z-Domain Descriptions 4Download
42Lecture 18_Part 2 – z-Domain Descriptions 5Download
43Lecture 18_Part 3 – z-Domain Descriptions 6Download
44Lecture 19_Part 1 – State Space Representation 1Download
45Lecture 19_Part 2 – State Space Representation 2Download
46Lecture 20_Part 1 – State Space Representation 3Download
47Lecture 20_Part 2 – State Space Representation 4Download
48Lecture 21_Part 1 – Sampled - Data Systems 1Download
49Lecture 21_Part 2 – Sampled - Data Systems 2Download
50Lecture 22_Part 1 – Sampled - Data Systems 3Download
51Lecture 22_Part 2 – Sampled - Data Systems 4Download
52Lecture 23_Part 1 – Sampled - Data Systems 5Download
53Lecture 23_Part 2 – Sampled - Data Systems 6Download
54Lecture 24_Part 1 – Sampled - Data Systems 7Download
55Lecture 24_Part 2 – Sampled - Data Systems 8Download
56Lecture 25_Part 1 – Probability_Random variables and moments - Review 1Download
57Lecture 25_Part 2 – Probability_Random variables and moments - Review 2Download
58Lecture 26_Part 1 – Probability_Random variables and moments - Review 3Download
59Lecture 26_Part 2 – Probability_Random variables and moments - Review 4Download
60Lecture 27_Part 1 – Probability_Random variables and moments - Review 5Download
61Lecture 27_Part 2 – Probability_Random variables and moments - Review 6Download
62Lecture 28_Part 1 – Random Processes - Review 1Download
63Lecture 28_Part 2 – Random Processes - Review 2Download
64Lecture 29_Part 1 – Random Processes - Review 3Download
65Lecture 29_Part 2 – Random Processes - Review 4Download
66Lecture 30_Part 1 – Random Processes - Review 5Download
67Lecture 30_Part 2 – Random Processes - Review – (MATLAB) 6Download
68Lecture 31_Part 1 – Random Processes - Review 7Download
69Lecture 31_Part 2 – Random Processes - Review 8Download
70Lecture 32_Part 1 – Spectral Representation 1Download
71Lecture 32_Part 2A – Spectral Representation 2Download
72Lecture 32_Part 2B – Spectral Representation 3Download
73Lecture 33_Part 1 – Models for Identification 1Download
74Lecture 33_Part 2 – Models for Identification 2Download
75Lecture 34_Part 1 – Models for Identification 3Download
76Lecture 34_Part 2 – Models for Identification 4Download
77Lecture 35_Part 1 – One step and multi-step ahead prediction 1Download
78Lecture 35_Part 2 – One step and multi-step ahead prediction 2Download
79Lecture 36_Part 1 – One step and multi-step ahead prediction 3Download
80Lecture 36_Part 2 – One step and multi-step ahead prediction 4Download
81Lecture 36_Part 3 – One step and multi-step ahead prediction 5Download
82Lecture 37_Part 1 – Introduction to estimation theory 1Download
83Lecture 37_Part 2 – Introduction to estimation theory 2Download
84Lecture 38_Part 1 – Fisher’s information and properties of estimators 1Download
85Lecture 38_Part 2 – Fisher’s information and properties of estimators 2Download
86Lecture 39_Part 1 – Fisher’s information and properties of estimators 3Download
87Lecture 39_Part 2 – Fisher’s information and properties of estimators 4Download
88Lecture 40_Part 1 – Fisher’s information and properties of estimators 5Download
89Lecture 40_Part 2 – Fisher’s information and properties of estimators 6Download
90Lecture 41_Part 1 – Fisher’s information and properties of estimators 7Download
91Lecture 41_Part 2 – Fisher’s information and properties of estimators 8Download
92Lecture 42_Part 1 – Fisher’s information and properties of estimators 9Download
93Lecture 42_Part 2 – Fisher’s information and properties of estimators 10Download
94Lecture 43_Part 1 – Fisher’s information and properties of estimators 11Download
95Lecture 43_Part 2 – Fisher’s information and properties of estimators 12Download
96Lecture 43_Part 3 – Fisher’s information and properties of estimators 13Download
97Lecture 43_Part 4 – Fisher’s information and properties of estimators 14Download
98Lecture 44_Part 1 – Fisher’s information and properties of estimators 15Download
99Lecture 45_Part 1 – Estimation of non-parametric model 1Download
100Lecture 45_Part 2 – Estimation of non-parametric model 2Download
101Lecture 47_Part 1 – Estimation of non-parametric model 3Download
102Lecture 47_Part 2 – Estimation of non-parametric model 4Download
103Lecture 47_Part 3 – Estimation of non-parametric model 5Download
104Lecture 46_Part 1 – Estimation of non-parametric model 3Download
105Lecture 46_Part 2 – Estimation of non-parametric model 4Download
106Lecture 48_Part 1 – Estimation of parametric model 1Download
107Lecture 48_Part 2 – Estimation of parametric model 2Download
108Lecture 48_Part 3 – Estimation of parametric model 3Download
109Lecture 49_Part 1 – Estimation of parametric model 4Download
110Lecture 49_Part 2 – State-Space/Subspace identification 1Download
111Lecture 50_Part 1 – State-Space/Subspace identification 2Download
112Lecture 50_Part 2 – State-Space/Subspace identification 3Download
113Lecture 51_Part 1 – State-Space/Subspace identification 4Download
114Lecture 51_Part 2 – State-Space/Subspace identification 5Download
115Lecture 51_Part 3 – State-Space/Subspace identification 6Download
116Lecture 51_Part 4 – State-Space/Subspace identification 7Download
117Lecture 51_Part 5 – State-Space/Subspace identification 8Download
118Lecture 52_Part 1 – Input for Identification Download
119Lecture 52_Part 2 – Input for Identification Download
120Lecture 52_Part 3 – Input for Identification Download

Sl.No Chapter Name English
1Lecture 01_Part 1 – Motivation and Overview 1PDF unavailable
2Lecture 01_Part 2 – Motivation and Overview 2PDF unavailable
3Lecture 02_Part 1 – Motivation and Overview 3PDF unavailable
4Lecture 02_Part 2 – Motivation and Overview 4PDF unavailable
5Lecture 03_Part 1 – Journey into Identification 1PDF unavailable
6Lecture 03_Part 2 – Journey into Identification 2PDF unavailable
7Lecture 04_Part 1 – Journey into Identification 3PDF unavailable
8Lecture 04_Part 2 – Journey into Identification (Case Studies) 4PDF unavailable
9Lecture 04_Part 3 – Journey into Identification (Case Studies) 5PDF unavailable
10Lecture 05_Part 1 – Journey into Identification (Case Studies) 6PDF unavailable
11Lecture 05_Part 2 – Journey into Identification (Case Studies) 7PDF unavailable
12Lecture 05_Part 3 – Journey into Identification (Case Studies) 8PDF unavailable
13Lecture 06_Part 1 – Journey into Identification (Case Studies) 9PDF unavailable
14Lecture 06_Part 2 – Journey into Identification (Case Studies) 10PDF unavailable
15Lecture 07_Part 1 – Journey into Identification (Case Studies) 11PDF unavailable
16Lecture 07_Part 2 – Journey into Identification (Case Studies) 12PDF unavailable
17Lecture 07_Part 3 – Journey into Identification (Case Studies) 13PDF unavailable
18Lecture 08_Part 1 – Journey into Identification (Case Studies) 14PDF unavailable
19Lecture 08_Part 2 – Journey into Identification (Case Studies) 15PDF unavailable
20Lecture 09_Part 1 – Journey into Identification (Case Studies) 16PDF unavailable
21Lecture 09_Part 2 – Journey into Identification 17PDF unavailable
22Lecture 10_Part 1 – Journey into Identification 18PDF unavailable
23Lecture 10_Part 2 – Response-based Description 1PDF unavailable
24Lecture 10_Part 3 – Response-based Description 2PDF unavailable
25Lecture 11_Part 1 – Response-based Description 3PDF unavailable
26Lecture 11_Part 2 – Response-based Description 4PDF unavailable
27Lecture 12_Part 1 – Response-based Description 5PDF unavailable
28Lecture 12_Part 2 – Response-based Description 6PDF unavailable
29Lecture 12_Part 3 – Response-based Description 7PDF unavailable
30Lecture 13_Part 1 – Response-based Description 8PDF unavailable
31Lecture 13_Part 2 – Response-based Description 9PDF unavailable
32Lecture 14_Part 1 – Response-based Description 10PDF unavailable
33Lecture 14_Part 2 – Response-based Description 11PDF unavailable
34Lecture 14_Part 3 – Response-based Description 12PDF unavailable
35Lecture 15_Part 1 – Response-based Description 13PDF unavailable
36Lecture 15_Part 2 – Discrete time LTI system 1PDF unavailable
37Lecture 16_Part 1 – Discrete time LTI system 2PDF unavailable
38Lecture 16_Part 2 – z-Domain Descriptions 1PDF unavailable
39Lecture 17_Part 1 – z-Domain Descriptions 2PDF unavailable
40Lecture 17_Part 2 – z-Domain Descriptions 3PDF unavailable
41Lecture 18_Part 1 – z-Domain Descriptions 4PDF unavailable
42Lecture 18_Part 2 – z-Domain Descriptions 5PDF unavailable
43Lecture 18_Part 3 – z-Domain Descriptions 6PDF unavailable
44Lecture 19_Part 1 – State Space Representation 1PDF unavailable
45Lecture 19_Part 2 – State Space Representation 2PDF unavailable
46Lecture 20_Part 1 – State Space Representation 3PDF unavailable
47Lecture 20_Part 2 – State Space Representation 4PDF unavailable
48Lecture 21_Part 1 – Sampled - Data Systems 1PDF unavailable
49Lecture 21_Part 2 – Sampled - Data Systems 2PDF unavailable
50Lecture 22_Part 1 – Sampled - Data Systems 3PDF unavailable
51Lecture 22_Part 2 – Sampled - Data Systems 4PDF unavailable
52Lecture 23_Part 1 – Sampled - Data Systems 5PDF unavailable
53Lecture 23_Part 2 – Sampled - Data Systems 6PDF unavailable
54Lecture 24_Part 1 – Sampled - Data Systems 7PDF unavailable
55Lecture 24_Part 2 – Sampled - Data Systems 8PDF unavailable
56Lecture 25_Part 1 – Probability_Random variables and moments - Review 1PDF unavailable
57Lecture 25_Part 2 – Probability_Random variables and moments - Review 2PDF unavailable
58Lecture 26_Part 1 – Probability_Random variables and moments - Review 3PDF unavailable
59Lecture 26_Part 2 – Probability_Random variables and moments - Review 4PDF unavailable
60Lecture 27_Part 1 – Probability_Random variables and moments - Review 5PDF unavailable
61Lecture 27_Part 2 – Probability_Random variables and moments - Review 6PDF unavailable
62Lecture 28_Part 1 – Random Processes - Review 1PDF unavailable
63Lecture 28_Part 2 – Random Processes - Review 2PDF unavailable
64Lecture 29_Part 1 – Random Processes - Review 3PDF unavailable
65Lecture 29_Part 2 – Random Processes - Review 4PDF unavailable
66Lecture 30_Part 1 – Random Processes - Review 5PDF unavailable
67Lecture 30_Part 2 – Random Processes - Review – (MATLAB) 6PDF unavailable
68Lecture 31_Part 1 – Random Processes - Review 7PDF unavailable
69Lecture 31_Part 2 – Random Processes - Review 8PDF unavailable
70Lecture 32_Part 1 – Spectral Representation 1PDF unavailable
71Lecture 32_Part 2A – Spectral Representation 2PDF unavailable
72Lecture 32_Part 2B – Spectral Representation 3PDF unavailable
73Lecture 33_Part 1 – Models for Identification 1PDF unavailable
74Lecture 33_Part 2 – Models for Identification 2PDF unavailable
75Lecture 34_Part 1 – Models for Identification 3PDF unavailable
76Lecture 34_Part 2 – Models for Identification 4PDF unavailable
77Lecture 35_Part 1 – One step and multi-step ahead prediction 1PDF unavailable
78Lecture 35_Part 2 – One step and multi-step ahead prediction 2PDF unavailable
79Lecture 36_Part 1 – One step and multi-step ahead prediction 3PDF unavailable
80Lecture 36_Part 2 – One step and multi-step ahead prediction 4PDF unavailable
81Lecture 36_Part 3 – One step and multi-step ahead prediction 5PDF unavailable
82Lecture 37_Part 1 – Introduction to estimation theory 1PDF unavailable
83Lecture 37_Part 2 – Introduction to estimation theory 2PDF unavailable
84Lecture 38_Part 1 – Fisher’s information and properties of estimators 1PDF unavailable
85Lecture 38_Part 2 – Fisher’s information and properties of estimators 2PDF unavailable
86Lecture 39_Part 1 – Fisher’s information and properties of estimators 3PDF unavailable
87Lecture 39_Part 2 – Fisher’s information and properties of estimators 4PDF unavailable
88Lecture 40_Part 1 – Fisher’s information and properties of estimators 5PDF unavailable
89Lecture 40_Part 2 – Fisher’s information and properties of estimators 6PDF unavailable
90Lecture 41_Part 1 – Fisher’s information and properties of estimators 7PDF unavailable
91Lecture 41_Part 2 – Fisher’s information and properties of estimators 8PDF unavailable
92Lecture 42_Part 1 – Fisher’s information and properties of estimators 9PDF unavailable
93Lecture 42_Part 2 – Fisher’s information and properties of estimators 10PDF unavailable
94Lecture 43_Part 1 – Fisher’s information and properties of estimators 11PDF unavailable
95Lecture 43_Part 2 – Fisher’s information and properties of estimators 12PDF unavailable
96Lecture 43_Part 3 – Fisher’s information and properties of estimators 13PDF unavailable
97Lecture 43_Part 4 – Fisher’s information and properties of estimators 14PDF unavailable
98Lecture 44_Part 1 – Fisher’s information and properties of estimators 15PDF unavailable
99Lecture 45_Part 1 – Estimation of non-parametric model 1PDF unavailable
100Lecture 45_Part 2 – Estimation of non-parametric model 2PDF unavailable
101Lecture 47_Part 1 – Estimation of non-parametric model 3PDF unavailable
102Lecture 47_Part 2 – Estimation of non-parametric model 4PDF unavailable
103Lecture 47_Part 3 – Estimation of non-parametric model 5PDF unavailable
104Lecture 46_Part 1 – Estimation of non-parametric model 3PDF unavailable
105Lecture 46_Part 2 – Estimation of non-parametric model 4PDF unavailable
106Lecture 48_Part 1 – Estimation of parametric model 1PDF unavailable
107Lecture 48_Part 2 – Estimation of parametric model 2PDF unavailable
108Lecture 48_Part 3 – Estimation of parametric model 3PDF unavailable
109Lecture 49_Part 1 – Estimation of parametric model 4PDF unavailable
110Lecture 49_Part 2 – State-Space/Subspace identification 1PDF unavailable
111Lecture 50_Part 1 – State-Space/Subspace identification 2PDF unavailable
112Lecture 50_Part 2 – State-Space/Subspace identification 3PDF unavailable
113Lecture 51_Part 1 – State-Space/Subspace identification 4PDF unavailable
114Lecture 51_Part 2 – State-Space/Subspace identification 5PDF unavailable
115Lecture 51_Part 3 – State-Space/Subspace identification 6PDF unavailable
116Lecture 51_Part 4 – State-Space/Subspace identification 7PDF unavailable
117Lecture 51_Part 5 – State-Space/Subspace identification 8PDF unavailable
118Lecture 52_Part 1 – Input for Identification PDF unavailable
119Lecture 52_Part 2 – Input for Identification PDF unavailable
120Lecture 52_Part 3 – Input for Identification PDF unavailable


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