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Lecture 36: Design of Machine Elements - II (V & W)
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Lecture 32: EXPECTATION OF DICRETE RANDOM VARIABLES, EXPECTATION OVER DIFFERENT SPACES
Lecture 7: Machine Learning Use cases
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Lecture 15: Solving Programming Problems
Lecture 16: Two Port Analysis
Lecture 9: Process Scheduling: Round Robin, Priority Schedulers
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Lecture 5: Classical Control Overview -- IV
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Lecture 37: skl-37 Integrated Injection Logic (contd.)
Lecture 25: Mod-01 Lec-25 Lecture-25-Supersonic Flow over a Wavy wall
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Lecture 20: Detonations: Calculation of Chapman Jouguet Velocities, ZND Structure III
Lecture 8: Properties of surfaces - I
Lecture 23: Spark for Big Data | Big Data Processing with Spark
Lecture 15
Lecture 14: Fluid Mechanics - Pressure Field Compressible Fluid
Lecture 8: Computation of critical flow part -1
Lecture 13: Device APIs; Location, Accelerometer & Camera; Battery
Lecture 22: Four Types of Feed Back I
Lecture 36: Mod-01 Lec-36 Combustion Instability in Solid Propellant and Liquid Propellant Rockets
Lecture 6: Android App Development for Beginners - 6 - Android Studio Tips
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Lecture 16: Class and Component Level Design
Voicethreads
Lecture 49: Mod-01 Lec-49 Introduction to Fluid Machines
Lecture 34: SuperConductors I
Lecture 23
Lecture 11: Distributed Naming
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