Category: Teaching
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Semiconductors and charge carriers (L-I)
Analog electronics and applications Conductors, semiconductors and holes as charge carriers Topics covered in this lecture A. Conductors B. Semiconductors C. Holes D. Intrinsic semiconductors Conductors: A conductor is the name of a material which is a good conductor of electricity. Copper ( Cu ), Silver ( Ag ) and Gold ( Au ) are…
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Fundamental types of crystal lattices and their symmetry operations
Fundamental types of crystal lattices and their symmetry operations. Topics covered a. Types and classes of crystals, b. Symmetry operations in crystals In this lecture we will follow through our basic knowledge gained in the last lecture. — lecture — I, II, and shed light on the most interesting properties of crystal lattices, viz. their symmetry…
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Helmholtz theorem in electrodynamics, Gauge transformation.
Electromagnetic theory, lecture — IV Topics covered in this lecture a. Helmholtz theorem — in electrodynamics b. Gauge transformation — of scalar and vector potential in electrodynamics c. Coulomb and Lorentz gauge All electromagnetic theory lectures of this series, will be found here (https://mdashf.org/category/electromagnetic-theory/) In our previous lecture — lecture — III, we discussed in quite detail,…
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Helmholtz theorem. Scalar and vector potentials
This lecture develops the formalism of electrodynamics in a very methodical way. It covers the following topics in detail. A. Formalism of electrodynamics — fundamental theorem B. Application of Helmholtz theorem — to electrostatics C. Application of Helmholtz theorem — to magnetostatics
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Boundary conditions on electric and magnetic fields.
Electromagnetic theory, Lecture — II. Boundary conditions on Electric and magnetic fields in Maxwell’s equations Topics covered A. Summary of Maxwell’s equations — in free space and in material media B. Integral forms of Maxwell’s equations — by application of vector calculus C. Derivation of boundary conditions — on electric and magnetic fields In the last…
M Dash Foundation: C Cube Learning 