NPTEL : NOC:Quantitative Methods in Chemistry (Chemistry and Biochemistry)

Co-ordinators : Prof. Aasheesh Srivastava, Prof. Bharathwaj Sathyamoorthy


Lecture 1 - A brief history of the beginnings of quantitation in Chemistry, defining chemical stoichiometry and molarity

Lecture 2 - Defining Molality and Normality, relationship with Molarity

Lecture 3 - Defining other parameters for concentration (%, ppm/ppb, p-value)

Lecture 4 - Relationship between various concentration parameters

Lecture 5 - Problems on acid-base equilibria, calculation of pH of strong and weak acids

Lecture 6 - Brief introduction to normal distribution and statistical analysis

Lecture 7 - Using a spreadsheet towards basic statistical analysis, exact equation of error propagation, accuracy and precision

Lecture 8 - Error propagation and its application to a few examples, significant figures

Lecture 9 - Introduction to use spreadsheets to analyze errors, reiteration of significant figures, repeats and reproducibility

Lecture 10 - Classification of errors

Lecture 11 - A look at uncertainties in a measurement taking an example

Lecture 12 - A comprehensive and step-wise look at an experimental protocol towards understanding systematic errors in an experiment

Lecture 13 - Introductory Statistics - Part 1

Lecture 14 - Introductory Statistics - Part 2

Lecture 15 - Hypothesis testing and Finding Outliers - Part 1

Lecture 16 - Hypothesis testing and Finding Outliers - Part 2

Lecture 17 - Pooling of data

Lecture 18 - Introduction to Analysis of Variance (ANOVA) and comparing precisions

Lecture 19 - Protocol for undertaking ANOVA - Part 1

Lecture 20 - Protocol for undertaking ANOVA - Part 2

Lecture 21 - ANOVA and Least Significant Difference (LSD)

Lecture 22 - ANOVA and solved Least Significant Difference example

Lecture 23 - Using spreadsheet software to perform data analysis towards calibrating a burette

Lecture 24 - Using spreadsheet to analyze linear dependence between two variables

Lecture 25 - Using spreadsheet and MATLAB towards data analysis with example of rate kinetics

Lecture 26 - Simulating simple straight lines and kinetic curves using MATLAB

Lecture 27 - Simulating the Michaelis Menten kinetics using MATLAB

Lecture 28 - Curve fitting and simulating with variance for the Michaelis Menten kinetics using MATLAB

Lecture 29 - Standards and Volumetric/Gravimetric titrations - Part 1

Lecture 30 - Standards and Volumetric/Gravimetric titrations - Part 2

Lecture 31 - Standards and Volumetric/Gravimetric titrations - Part 3

Lecture 32 - Standards and Volumetric/Gravimetric titrations - Part 4

Lecture 33 - Standards and Volumetric/Gravimetric titrations - Part 5

Lecture 34 - Analytical Separations - Multistage extractions - Part 1

Lecture 35 - Analytical Separations - Multistage extractions - Part 2

Lecture 36 - Analytical Separations - Chromatography - Part 1

Lecture 37 - Analytical Separations - Chromatography - Part 2

Lecture 38 - Analytical Separations - Electrophoresis, Capillary electrophoresis, Isoelectric Focusing

Lecture 39 - Basics of Chromatography - Part 1

Lecture 40 - Basics of Chromatography - Part 2

Lecture 41 - Chromatography - Concept of Theoretical plates

Lecture 42 - Chromatography - Rate Theory

Lecture 43 - Practice of Chromatography - HPLC

Lecture 44 - Practice of Chromatography - Gas Chromatography

Lecture 45 - Supercritical Fluid Chromatography

Lecture 46 - Detectors employed during chromatographic separations

Lecture 47 - Course Revision

Lecture 48 - Course Revision - Week 1 to 3

Lecture 49 - Course Revision - Week 4 and 5

Lecture 50 - Course Revision - Week 6 and 7

Lecture 51 - Course Revision - Week 8 to 11