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Arab-Islamic History: From Tribes to Empires
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Understanding Dementia
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National Programme for Technology Enhanced Learning is a joint initiative from IITs and IISc to offer online courses and certification in various topics. Learn for free; Pay a small fee to write an exam and get a certificate.
This course covers lessons on probability theory, random variables, mean and variance, linear signal models, z-transform, Kalman filter, variants of least squares estimation, and estimation problems in instrumentation and control.
In this course, you will learn the basics of Foundation engineering and its concepts like shallow foundation, lateral earth pressure theories and retaining walls, machine foundations and more.
A two-part engineering course covering railway track systems and airport infrastructure, from rails, turnouts, and signaling to runways, taxiways, terminals, and visual aids.
A broad survey of powder metallurgy, metal forming, machining, casting, and welding processes.
Explore oscillators, electromagnetic and mechanical waves, interference, diffraction, polarization, and introductory quantum phenomena including the Schrödinger equation and tunneling.
Explore quality-of-service mechanisms for broadband networks, from effective bandwidth and fair queuing to TCP congestion control, MPLS, and voice over IP.
Explore illumination engineering through photometry, light sources, glare, lighting systems, and interior, sports, and road lighting design.
Explore tool geometry, chip formation, cutting forces, abrasive processes, gear manufacturing, and nontraditional machining methods.
An overview of classical AI techniques, from intelligent agents and heuristic search to logic, planning, uncertainty, machine learning, and natural language processing.
This course discusses basic concepts and applications of some semiconductor devices: diodes, bipolar junction transistors, field-effect transistors, and operational amplifiers, Bipolar Junction Transistors, Operation Amplifiers, Power Circuits and System…
Covers classical control analysis and design through transfer functions, root locus, frequency-response plots, stability criteria, and state-variable models.
A lecture series develops probability from axioms and random variables through stochastic processes, spectral analysis, and adaptive filtering.
This course deals with topics in robotics: technologies in robotics, its parallel and grippers manipulators, sensors, trajectory planning, velocity analysis, image processing, forward position control, and dynamic analysis of robotics.
Electrical network theory connected with transforms, filters, and discrete-time signal processing.
This course covers topics of axially loaded members, flexure, shear, torsion, losses in prestress, material properties, and design of end zones of prestressed members.
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