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and

machines.
pitot
techniques.
Fluid Statics:
Introduction:
Kutta method.
Hydrodynamics:
Fluid Kinematics:
KHUZDAR
and Borden gauge.
static
Flow Measurement:
UET
BALOCHISTAN
and submerged bodies.
and incompressible fluids.
tube,
hydrodynamics, hydraulics.
Forces on Immersed Bodies:
FLUID MECHANICS 4 (3 + 1)
venturimeter,
Solution of Linear Simultaneous Equations:
velocity

Complex Variables: Limit, continuity, zeros and poles, Cauchy-
methods.
Reimann Equations, Conformal transformations, contour integration.
and discharge. Control volume, Equation of continuity for compressible
reducers and bends, stationary and moving blades, torques in rotating
viscosity, Newton's equation of viscosity. Hydrostatics, kinematics,
to density currents, free and forced vortex, Forces on pressure conduits,
Forces on submerged planes & curved surfaces and their applications,
gravity, surface tension, compressibility. Viscosity, measurement of
Orifices and mouthpieces, sharp-crested weirs and notches, pitot tube
Pressure intensity and pressure head: pressure and specific weight
relationship, absolute and gauge pressure, measurement of pressure,
Piezo-meter, manometer, pressure transducers. Differential manometer
Engineering, Trapezoidal and Simpson's rule numerical integration
properties of fluids; density, specific weight, specific volume, specific
non-uniform flow. Pathline, streamlines and stream tubes. Velocity
Steady and unsteady flow, laminar and turbulent flow, uniform and
Review of integration concept and their physical significance for
Different forms of energy in a flowing liquid, head, Bernoulli's equation
differential equations, Euler and modified Euler methods, Runge
Jacobi's method, Gauss-Seidal method, Sparse matrices, Solution of
Drag and Lift forces, buoyancy and floatation. Equilibrium of floating
Solids and fluids (liquidsand gases). Units and dimensions. Physical
and its application, Energy line and Hydraulic Gradient Line, Introduction
Averages.
Probability:
Curve Fitting:
Random Variable:
trapezoidal section.
Simple Regression:
independent events
Presentation of Data:
to Poisson distribution.
its coefficients, kurtosis.
analysis of pipe networks.
Measures of Dispersion:
Probability Distribution:
Steady Flow through Pipes:
Measures of Central Tendency:
Uniform Flow in Open Channels:
frequency curves and their types.
Fifth Semester
PROBABILITY & STATICS (3 + 1)
Scatter diagram, linear regression and correlation
a random variable, Moment generating functions.
Goodness of fit, Fitting a straight line, parabola, circle.
01
Binomial, Poisson, uniform, exponential and normal distribution functions and its approximation
Pipes in series and parallel. Transmission of energy through pipes. Introduction to computer aided
properties, Weighted mean, median, quartiles, mode and their relations, Merits and demerits of
Darcy -weisbach equation for flow in pipes. Losses in pipe lines, hydraulic grade lines and energy lines.
Range, moments, skewness, quartile deviation, mean deviation, standard deviation, variance and
Chezy’s and Manning’s equations, Bazin’s and Kutter’s equations, Most economical rectangular and
Introduction, distribution function, discrete random variable and its probability distribution,
Continuous random variable and its probability density function, Mathematical expectation of
Definitions, sample space, events. Laws of probability, conditional probability, Dependent and
Classification, tabulation, classes, graphical representation, histograms, frequency polygons,
Means: Arithmetic Mean(A.M), Geometric Mean (G.M) , Harmonic Mean (H.M), and their