This course is a basic course offered to UG/PG students of Engineering/Science background. It contains Analytic Functions, applications to the problems of potential flow, Harmonic functions, Harmonic conjugates, Milne’s method, Complex integration, sequences and series, uniform convergence, power series, Hadamard’s formula for the radius of convergence, Taylor and Laurent series, zeros and poles of a function, meromorphic function, the residue at a singularity, Residue theorem, the argument principle and Rouche’s theorem, contour integration and its applications to evaluation of a real integral, integration through a branch cut, conformal mapping, application to potential theory, review of unilateral and bilateral Z-transforms and their properties, application of calculus of residues for the inversion formula of Z- transforms and Laplace transforms, review of Fourier integrals and Fourier transforms, Finite Fourier transforms, discrete Fourier transforms and applications, basic concepts of probability, Bayes theorem, probability networks, discrete and continuous probability distribution, joint distribution, correlation coefficient, applications to problems of reliability, queueing theory, service time for a customer in a facility and life testing, testing of hypotheses. This course has tremendous applications in diverse fields of Engineering and Sciences such as Signal processing, Potential theory, Bending of beams etc.
INTENDED AUDIENCE: UG and PG students of technical institutions/ universities/colleges.
CORE/ELECTIVE: Core
UG/PG: UG/PG
PREREQUISITES: None
INDUSTRY SUPPORT: None
4376 students have enrolled already!!
ABOUT THE INSTRUCTOR:
Dr. P. N. Agrawal is a Professor in the Department of Mathematics, IIT Roorkee. His area of research includes approximation Theory and Complex Analysis. He delivered 13 video lectures on Engineering Mathematics in NPTEL Phase I and recently completed Pedagogy project on Engineering Mathematics jointly with Dr. Uaday Singh in the same Department. Further he has completed online certification course “Mathematical methods and its applications” jointly with Dr. S.K. Gupta and two more courses namely “Integral equations and calculus of variations and its applications” and “Numerical Linear Algebra” with Dr. D. N. Pandey of the same department. He has taught engineering mathematics to B.Tech and M.Tech students at IIT Roorkee for many years. He has supervised twelve Ph.D. theses and has published more than 200 research papers in reputed international journals of the world. Currently, he is supervising eight research students.
COURSE LAYOUT:
Week 1 : Analytic Functions, Cauchy-Riemann Equations, Harmonic Functions, Harmonic Conjugates and Milne’s Method, Applications to the problems of potential flow-I, Applications to the problems of potential flow-II Week 2 : Complex integration, Cauchy’s theorem-I, Cauchy’s theorem-II , Cauchy’s Integral Formula for the Derivatives of an Analytic Function , Morera’s theorem, Liouville’s theorem and Fundamental Theorem of Algebra Week 3 : Winding Number and Maximum Modulus Principle, Sequences and Series, Uniform Convergence of Series, Power Series, Taylor series Week 4 : Week 5 : Evaluation of real integrals using residues-I, Evaluation of real integrals using residues-II , Evaluation of real integrals using residues-III, Evaluation of real integrals using residues-IV, Evaluation of real integrals using residues-V Week 6 : Bilinear Transformations, Cross ratio, Conformal Mapping-I, Conformal Mapping-II, Conformal mappings from half plane to disk and half plane to half plane-I Week 7 : Conformal mappings from disk to disk and angular region to disk, Application of Conformal mapping to potential theory, Review of Z-transforms-I, Review of Z-transforms-II, Review of Z-transforms-III Week 8 : Review of bilateral Z-transforms, Finite Fourier transforms, Fourier integrals and Fourier transforms, Fourier Series, Discrete Fourier transforms-I Week 9 : Discrete Fourier transforms-II, Basic concepts of probability, Conditional probability, Bayes theorem and Probability networks, Discrete probability distribution Week 10 : Binomial distribution, Negative binomial distribution and Poisson distribution, Continuous probability distribution, Poisson Process, Exponential distribution Week 11 : Normal distribution , Joint distribution-I, Joint probability distribution-III, Joint probability distribution-III, Correlation and regression-I Week 12 : Correlation and regression-II, Testing of hypotheses-I, Testing of hypotheses-II, Testing of hypotheses-III, Application to Queueing Theory and Reliablility Theory
SUGGESTED READING MATERIALS:
Kreyszig, E., “Advanced Engineering Mathematics”, Wiley, New York.2. Jain, R.K. and Iyenger, S.R.K., Advanced Engineering Mathematics, 2nd Edition, Narosa Publishing House.3. Churchill, J. W. and Brown, R. V., “Complex Analysis”, McGraw Hill.4. Ahlfors, L. V., "Complex Analysis", McGraw Hill.5. Conway, J. B., "Functions of One Complex Variable", Narosa Publishing House.6. Debnath, L., Bhatta, D., “Integral Transforms and Their Tpplications”, Chapman & Hall/CRC (2nd edition)7. Miller, I. and Miller, M: “John E. Freund’s Mathematical Statistics with Applications”, 7th Edition, Prentice Hall.8. Mayer, P. L., “Introductory Probability and Statistical Applications”, Oxford & IBH Publishing Co. Pvt. Ltd.
CERTIFICATION EXAM :
The exam is optional for a fee.
Date and Time of Exams: April 28 2019(Sunday). Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATION:
Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of Best 8 out of 12 assignments
E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Roorkee.It will be e-verifiable at nptel.ac.in/noc.