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Available courses

SKILL ENHANCEMENT COURSE

SEC (Skill Enhancement Course)                                                                     Sir Thang

5th Sem Undergraduate, DMU                                                                          sktn06@gmail.com

                                                                                                                                      WhatsApp No: 6909559307 

SCH-005

(IT Skills for Chemist)

 

Unit 1. IT Skills for Chemists                                                                                             (Credit: 02)

 

Fundamentals, mathematical functions, polynomial expressions, logarithms, the exponential function, units of a measurement, inter-conversion of units, constants and variables, equation of a straight line, plotting graphs. Uncertainty in experimental techniques: Displaying uncertainties, measurements in chemistry, decimal places, significant figures, combining quantities. Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors. Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression). Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms). Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid). Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions). Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations). Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

Unit 2. Computer programming:

Constants, variables, bits, bytes, binary and ASCII formats, arithmetic expressions, hierarchy of operations, inbuilt functions. Elements of the BASIC language. BASIC keywords and commands. Logical and relative operators. Strings and graphics. Compiled versus interpreted languages. Debugging. Simple programs using these concepts. Matrix addition and multiplication. Statistical analysis. BASIC/FORTRAN programs for curve fitting, numerical differentiation and integration (Trapezoidal rule, Simpson’s rule), finding roots (quadratic formula, iterative, Newton-Raphson method).

 

Reference Books

 

1. McQuarrie, D. A. Mathematics for Physical Chemistry University Science Books (2008).

2. Mortimer, R. Mathematics for Physical Chemistry. 3rd Ed. Elsevier (2005).

3. Steiner, E. The Chemical Maths Book Oxford University Press (1996).

4. Yates, P. Chemical calculations. 2nd Ed. CRC Press (2007).

5. Harris, D. C. Quantitative Chemical Analysis. 6th Ed., Freeman (2007) Chapters 3-5.

6. Levie, R. de, How to use Excel in analytical chemistry and in general scientific data analysis, Cambridge Univ. Press (2001) 487 pages.

7. Noggle, J. H. Physical chemistry on a Microcomputer. Little Brown & Co. (1985).

8. Venit, S.M. Programming in BASIC: Problem solving with structure and style. Jaico Publishing House: Delhi (1996).

Fundamentals

The mathematical fundamentals used by chemists in Information technology (IT) are:

Linear algebra, Calculus, Statistics and Probability, Numerical Methods, Graph theory, Fourier analysis, and Optimization.

Mathematical Functions

The following are examples of mathematical functions:

Polynomial expressions

Logarithms

 

 

 

 

 

 

Exponential function

 

Units of a measurement & inter-conversion of units

 

 

Constants and variables

 

 

 

 

 

 

Equation of a straight line

Slope Intercept Form - Formula, Equation, Graph and Examples

 

 

 

Plotting graphs

Uncertainty in experimental techniques: Displaying uncertainties

Measurements in chemistry, decimal places, significant figures, combining quantities

 

 

 

 

Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors

Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression)

 

 

 

 

 

Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms)

Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid)

 

 

Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions).

 

 

 

Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations).

 

 

 

Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

SEC (Skill Enhancement Course)                                                                     Sir Thang

5th Sem Undergraduate, DMU                                                                          sktn06@gmail.com

                                                                                                                                                            WhatsApp No: 6909559307

 

SCH-005

(IT Skills for Chemist)

 

Unit 1. IT Skills for Chemists                                                                                             (Credit: 02)

 

Fundamentals, mathematical functions, polynomial expressions, logarithms, the exponential function, units of a measurement, inter-conversion of units, constants and variables, equation of a straight line, plotting graphs. Uncertainty in experimental techniques: Displaying uncertainties, measurements in chemistry, decimal places, significant figures, combining quantities. Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors. Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression). Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms). Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid). Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions). Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations). Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

Unit 2. Computer programming:

Constants, variables, bits, bytes, binary and ASCII formats, arithmetic expressions, hierarchy of operations, inbuilt functions. Elements of the BASIC language. BASIC keywords and commands. Logical and relative operators. Strings and graphics. Compiled versus interpreted languages. Debugging. Simple programs using these concepts. Matrix addition and multiplication. Statistical analysis. BASIC/FORTRAN programs for curve fitting, numerical differentiation and integration (Trapezoidal rule, Simpson’s rule), finding roots (quadratic formula, iterative, Newton-Raphson method).

 

Reference Books

 

1. McQuarrie, D. A. Mathematics for Physical Chemistry University Science Books (2008).

2. Mortimer, R. Mathematics for Physical Chemistry. 3rd Ed. Elsevier (2005).

3. Steiner, E. The Chemical Maths Book Oxford University Press (1996).

4. Yates, P. Chemical calculations. 2nd Ed. CRC Press (2007).

5. Harris, D. C. Quantitative Chemical Analysis. 6th Ed., Freeman (2007) Chapters 3-5.

6. Levie, R. de, How to use Excel in analytical chemistry and in general scientific data analysis, Cambridge Univ. Press (2001) 487 pages.

7. Noggle, J. H. Physical chemistry on a Microcomputer. Little Brown & Co. (1985).

8. Venit, S.M. Programming in BASIC: Problem solving with structure and style. Jaico Publishing House: Delhi (1996).

Fundamentals

The mathematical fundamentals used by chemists in Information technology (IT) are:

Linear algebra, Calculus, Statistics and Probability, Numerical Methods, Graph theory, Fourier analysis, and Optimization.

Mathematical Functions

The following are examples of mathematical functions:

Polynomial expressions

Logarithms

 

 

 

 

 

 

Exponential function

 

Units of a measurement & inter-conversion of units

 

 

Constants and variables

 

 

 

 

 

 

Equation of a straight line

Slope Intercept Form - Formula, Equation, Graph and Examples

 

 

 

Plotting graphs

Uncertainty in experimental techniques: Displaying uncertainties

Measurements in chemistry, decimal places, significant figures, combining quantities

 

 

 

 

Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors

Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression)

 

 

 

 

 

Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms)

Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid)

 

 

Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions).

 

 

 

Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations).

 

 

 

Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

 

 

SEC (Skill Enhancement Course)                                                                     Sir Thang

5th Sem Undergraduate, DMU                                                                          sktn06@gmail.com

                                                                                                                                                            WhatsApp No: 6909559307

 

SCH-005

(IT Skills for Chemist)

 

Unit 1. IT Skills for Chemists                                                                                             (Credit: 02)

 

Fundamentals, mathematical functions, polynomial expressions, logarithms, the exponential function, units of a measurement, inter-conversion of units, constants and variables, equation of a straight line, plotting graphs. Uncertainty in experimental techniques: Displaying uncertainties, measurements in chemistry, decimal places, significant figures, combining quantities. Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors. Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression). Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms). Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid). Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions). Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations). Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

Unit 2. Computer programming:

Constants, variables, bits, bytes, binary and ASCII formats, arithmetic expressions, hierarchy of operations, inbuilt functions. Elements of the BASIC language. BASIC keywords and commands. Logical and relative operators. Strings and graphics. Compiled versus interpreted languages. Debugging. Simple programs using these concepts. Matrix addition and multiplication. Statistical analysis. BASIC/FORTRAN programs for curve fitting, numerical differentiation and integration (Trapezoidal rule, Simpson’s rule), finding roots (quadratic formula, iterative, Newton-Raphson method).

 

Reference Books

 

1. McQuarrie, D. A. Mathematics for Physical Chemistry University Science Books (2008).

2. Mortimer, R. Mathematics for Physical Chemistry. 3rd Ed. Elsevier (2005).

3. Steiner, E. The Chemical Maths Book Oxford University Press (1996).

4. Yates, P. Chemical calculations. 2nd Ed. CRC Press (2007).

5. Harris, D. C. Quantitative Chemical Analysis. 6th Ed., Freeman (2007) Chapters 3-5.

6. Levie, R. de, How to use Excel in analytical chemistry and in general scientific data analysis, Cambridge Univ. Press (2001) 487 pages.

7. Noggle, J. H. Physical chemistry on a Microcomputer. Little Brown & Co. (1985).

8. Venit, S.M. Programming in BASIC: Problem solving with structure and style. Jaico Publishing House: Delhi (1996).

Fundamentals

The mathematical fundamentals used by chemists in Information technology (IT) are:

Linear algebra, Calculus, Statistics and Probability, Numerical Methods, Graph theory, Fourier analysis, and Optimization.

Mathematical Functions

The following are examples of mathematical functions:

Polynomial expressions

Logarithms

 

 

 

 

 

 

Exponential function

 

Units of a measurement & inter-conversion of units

 

 

Constants and variables

 

 

 

 

 

 

Equation of a straight line

Slope Intercept Form - Formula, Equation, Graph and Examples

 

 

 

Plotting graphs

Uncertainty in experimental techniques: Displaying uncertainties

Measurements in chemistry, decimal places, significant figures, combining quantities

 

 

 

 

Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors

Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression)

 

 

 

 

 

Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms)

Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid)

 

 

Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions).

 

 

 

Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations).

 

 

 

Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

 

 

SEC (Skill Enhancement Course)                                                                     Sir Thang

5th Sem Undergraduate, DMU                                                                          sktn06@gmail.com

                                                                                                                                                            WhatsApp No: 6909559307

 

SCH-005

(IT Skills for Chemist)

 

Unit 1. IT Skills for Chemists                                                                                             (Credit: 02)

 

Fundamentals, mathematical functions, polynomial expressions, logarithms, the exponential function, units of a measurement, inter-conversion of units, constants and variables, equation of a straight line, plotting graphs. Uncertainty in experimental techniques: Displaying uncertainties, measurements in chemistry, decimal places, significant figures, combining quantities. Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors. Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression). Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms). Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid). Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions). Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations). Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

Unit 2. Computer programming:

Constants, variables, bits, bytes, binary and ASCII formats, arithmetic expressions, hierarchy of operations, inbuilt functions. Elements of the BASIC language. BASIC keywords and commands. Logical and relative operators. Strings and graphics. Compiled versus interpreted languages. Debugging. Simple programs using these concepts. Matrix addition and multiplication. Statistical analysis. BASIC/FORTRAN programs for curve fitting, numerical differentiation and integration (Trapezoidal rule, Simpson’s rule), finding roots (quadratic formula, iterative, Newton-Raphson method).

 

Reference Books

 

1. McQuarrie, D. A. Mathematics for Physical Chemistry University Science Books (2008).

2. Mortimer, R. Mathematics for Physical Chemistry. 3rd Ed. Elsevier (2005).

3. Steiner, E. The Chemical Maths Book Oxford University Press (1996).

4. Yates, P. Chemical calculations. 2nd Ed. CRC Press (2007).

5. Harris, D. C. Quantitative Chemical Analysis. 6th Ed., Freeman (2007) Chapters 3-5.

6. Levie, R. de, How to use Excel in analytical chemistry and in general scientific data analysis, Cambridge Univ. Press (2001) 487 pages.

7. Noggle, J. H. Physical chemistry on a Microcomputer. Little Brown & Co. (1985).

8. Venit, S.M. Programming in BASIC: Problem solving with structure and style. Jaico Publishing House: Delhi (1996).

Fundamentals

The mathematical fundamentals used by chemists in Information technology (IT) are:

Linear algebra, Calculus, Statistics and Probability, Numerical Methods, Graph theory, Fourier analysis, and Optimization.

Mathematical Functions

The following are examples of mathematical functions:

Polynomial expressions

Logarithms

 

 

 

 

 

 

Exponential function

 

Units of a measurement & inter-conversion of units

 

 

Constants and variables

 

 

 

 

 

 

Equation of a straight line

Slope Intercept Form - Formula, Equation, Graph and Examples

 

 

 

Plotting graphs

Uncertainty in experimental techniques: Displaying uncertainties

Measurements in chemistry, decimal places, significant figures, combining quantities

 

 

 

 

Uncertainty in measurement: types of uncertainties, combining uncertainties. Statistical treatment. Mean, standard deviation, relative error. Data reduction and the propagation of errors

Graphical and numerical data reduction. Numerical curve fitting: the method of least squares (regression)

 

 

 

 

 

Algebraic operations on real scalar variables (e.g., manipulation of van der Waals equation in different forms)

Roots of quadratic equations analytically and iteratively (e.g., pH of a weak acid)

 

 

Numerical methods of finding roots (Newton-Raphson, binary –bisection, e.g., pH of a weak acid not ignoring the ionization of water, volume of a van der Waals gas, equilibrium constant expressions).

 

 

 

Differential calculus: The tangent line and the derivative of a function, numerical differentiation (e.g., change in pressure for small change in volume of a van der Waals gas, potentiometric titrations).

 

 

 

Numerical integration (Trapezoidal and Simpson’s rule, e.g., entropy/enthalpy change from heat capacity data).

 

 

 


 

 

CHEMISTRY 3RD SEM GENERIC COURSE

4 YEARS B.Sc. (HONOURS) CHEMISTRY

 

GCH-205

(Solutions, Phase Equilibria, Conductance, Electrochemistry & Functional Group

Organic Chemistry-II)

Section-A (Physical Chemistry)

Unit 1. Solutions

Thermodynamics of ideal solutions: Ideal solutions and Raoult’s law, deviations from Raoult’s law – non-ideal solutions. Vapour pressure-composition and temperature composition curves of ideal and non-ideal solutions. Distillation of solutions. Lever rule. Azeotropes. Partial miscibility of liquids: Critical solution temperature; effect of impurity on partial miscibility of liquids. Immiscibility of liquids- Principle of steam distillation. Nernst distribution law and its applications, solvent extraction.

Unit 2. Phase Equilibria

Phases, components and degrees of freedom of a system, criteria of phase equilibrium. Gibbs Phase Rule and its thermodynamic derivation. Derivation of Clausius – Clapeyron equation and its importance in phase equilibria. Phase diagrams of one-component systems (water and sulphur) and two component systems involving eutectics, congruent and incongruent melting points (lead-silver, FeCl3-H2O and Na-K only).

Unit 3. Conductance (Oja Thang)

Conductivity, equivalent and molar conductivity and their variation with dilution for weak and strong electrolytes. Kohlrausch law of independent migration of ions. Transference number and its experimental determination using Hittorf and Moving boundary methods. Ionic mobility. Applications of conductance measurements: determination of degree of ionization of weak electrolyte, solubility and solubility products of sparingly soluble salts, ionic product of water, hydrolysis constant of a salt. Conductometric titrations (only acid base).

Unit 4. Electrochemistry (Oja Thang)

Reversible and irreversible cells. Concept of EMF of a cell. Measurement of EMF of a cell. Nernst equation and its importance. Types of electrodes. Standard electrode potential. Electrochemical series. Thermodynamics of a reversible cell, calculation of thermodynamic properties: ΔG, ΔH and ΔS from EMF data. Calculation of equilibrium constant from EMF data. Concentration cells with transference and without transference. Liquid junction potential and salt bridge. pH determination using hydrogen electrode and quinhydrone electrode. Potentiometric titrations -qualitative treatment (acid-base and oxidation-reduction only).

(Credits: 03)