NOC:Quantitative Methods in Chemistry


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