Modules / Lectures


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noc20_bt13_assigment_1noc20_bt13_assigment_1
noc20_bt13_assigment_2noc20_bt13_assigment_2
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noc20_bt13_assigment_8noc20_bt13_assigment_8
noc20_bt13_assigment_9noc20_bt13_assigment_9


Sl.No Chapter Name MP4 Download
1Lecture 1 : IntroductionDownload
2Lecture 2 : Graphs and FunctionsDownload
3Lecture 3 : Equations as GraphsDownload
4Lecture 4 : Graphs : Exponential and Periodic FunctionsDownload
5Lecture 5 : Graphs : Logarithmic and Other Functions Download
6Lecture 6 : Images as 2D/3D FunctionsDownload
7Lecture 7 : Functions and its DerivativesDownload
8Lecture 8 : Computing Derivatives of CurvesDownload
9Lecture 9 : Rules for Calculating Derivatives Download
10Lecture 10 : Understanding Derivatives Download
11Lecture 11 : Curvature and Second Derivative Download
12Lecture 12 : Plotting CurvesDownload
13Lecture 13 : Numerical Calculation of Derivatives Download
14Lecture 14 : Function, Derivatives and Series ExpansionDownload
15Lecture 15 : L'Hopital's Rule and Partial Derivatives Download
16Lecture 16 : IntegrationDownload
17Lecture 17 : Integration : RulesDownload
18Lecture 18 : Integration : Graphical UnderstandingDownload
19Lecture 19 : Integration : More Examples Download
20Lecture 20 : Integration : Product of Two Functions Download
21Lecture 21 : Exponential Growth and DecayDownload
22Lecture 22 : Scalars and VectorsDownload
23Lecture 23 : Vectors : Position and Movement in 2DDownload
24Lecture 24 : Cell Symmetry : Use of Polar Coordinates Download
25Lecture 25 : Gradient, Forces and Flows : Part IDownload
26Lecture 26 : Gradient, Forces and Flows : Part IIDownload
27Lecture 27 : Understanding Diffusion Download
28Lecture 28 : Diffusion Constant and Einstein Relation 1905Download
29Lecture 29 : Diffusion Equation Download
30Lecture 30 : Diffusion vs. Active TransportDownload
31Lecture 31 : Nernst EquationDownload
32Lecture 32 : Fourier Series : Part IDownload
33Lecture 33 : Fourier Series : Part IIDownload
34Lecture 34 : Fourier TransformDownload
35Lecture 35 : Introduction to StatisticsDownload
36Lecture 36 : Mean, Standard deviation and DistributionDownload
37Lecture 37 : Frequency Distribution and Probability DistributionDownload
38Lecture 38 : Binomial DistributionDownload
39Lecture 39 : Normal DistributionDownload
40Lecture 40 : Hypothesis Testing and Mathematical ModelingDownload

Sl.No Chapter Name English
1Lecture 1 : IntroductionDownload
Verified
2Lecture 2 : Graphs and FunctionsDownload
Verified
3Lecture 3 : Equations as GraphsDownload
Verified
4Lecture 4 : Graphs : Exponential and Periodic FunctionsDownload
Verified
5Lecture 5 : Graphs : Logarithmic and Other Functions Download
Verified
6Lecture 6 : Images as 2D/3D FunctionsDownload
Verified
7Lecture 7 : Functions and its DerivativesDownload
Verified
8Lecture 8 : Computing Derivatives of CurvesDownload
Verified
9Lecture 9 : Rules for Calculating Derivatives Download
Verified
10Lecture 10 : Understanding Derivatives Download
Verified
11Lecture 11 : Curvature and Second Derivative Download
Verified
12Lecture 12 : Plotting CurvesDownload
Verified
13Lecture 13 : Numerical Calculation of Derivatives Download
Verified
14Lecture 14 : Function, Derivatives and Series ExpansionDownload
Verified
15Lecture 15 : L'Hopital's Rule and Partial Derivatives Download
Verified
16Lecture 16 : IntegrationDownload
Verified
17Lecture 17 : Integration : RulesDownload
Verified
18Lecture 18 : Integration : Graphical UnderstandingDownload
Verified
19Lecture 19 : Integration : More Examples Download
Verified
20Lecture 20 : Integration : Product of Two Functions Download
Verified
21Lecture 21 : Exponential Growth and DecayDownload
Verified
22Lecture 22 : Scalars and VectorsDownload
Verified
23Lecture 23 : Vectors : Position and Movement in 2DDownload
Verified
24Lecture 24 : Cell Symmetry : Use of Polar Coordinates Download
Verified
25Lecture 25 : Gradient, Forces and Flows : Part IDownload
Verified
26Lecture 26 : Gradient, Forces and Flows : Part IIDownload
Verified
27Lecture 27 : Understanding Diffusion Download
Verified
28Lecture 28 : Diffusion Constant and Einstein Relation 1905Download
Verified
29Lecture 29 : Diffusion Equation Download
Verified
30Lecture 30 : Diffusion vs. Active TransportDownload
Verified
31Lecture 31 : Nernst EquationDownload
Verified
32Lecture 32 : Fourier Series : Part IDownload
Verified
33Lecture 33 : Fourier Series : Part IIDownload
Verified
34Lecture 34 : Fourier TransformDownload
Verified
35Lecture 35 : Introduction to StatisticsDownload
Verified
36Lecture 36 : Mean, Standard deviation and DistributionDownload
Verified
37Lecture 37 : Frequency Distribution and Probability DistributionDownload
Verified
38Lecture 38 : Binomial DistributionDownload
Verified
39Lecture 39 : Normal DistributionDownload
Verified
40Lecture 40 : Hypothesis Testing and Mathematical ModelingDownload
To be verified


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1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available