Mechanical Engineering – B.Eng/B.Eng (Hons)

Several Variable Calculus: vectors and vector calculus; functions of several variables; partial derivatives; gradients; extreme values; differentials; double and triple integrals; line integrals; surface integrals.

Complex Analysis: basic topology functions and mappings; limits; continuity and differentiability; analytic and harmonic functions; exponential, trigonometric and hyperbolic functions; principal logarithms and complex exponents; arcs, contour integrals and antiderivatives; Cauchy-Goursat theorem and Cauchy integral formula; Taylor and Laurent series; Fourier transforms and Laplace transforms; evaluating integrals; singularities and residues; real improper integrals; trigonometric integrals.

Kinematics and kinetics of particles and rigid bodies; the Newton’s second law of motion; principle of work and energy; impulse and momentum; introduction to dynamics applications.

Partial differential equation of fluid motion; boundary layers, fluid flow about immersed bodies; fluid machinery; performance characteristics for pump, turbines and compressors; compressible flow.

Forces and stresses; relation of stress and strain; bars under axial loading; torsion of shafts; straight beams under pure bending and transverse loading; transformation and Mohr’s circle of plane stress; failure criteria under plane stress; shear and bending-moment diagram; defection of beams by integration and superposition method; buckling of columns.

Basic of thermodynamics; properties of pure substance; heat and work; basic energy conversion; ideal gas; first law of thermodynamics; second law of thermodynamics; entropy; carnot cycle; introduction to heat transfer mechanisms.

Experimental studies via laboratory practices on dynamics, solid mechanics, and mechanical measurement.

Size and dimensions; tolerance limits; metal fabrication processes without scrap: casting, forging, hobbing, extruding, welding, etc.; metal fabrication processes with scrap: metal cutting, grinding, etc.; heat treatment processes; fundamental of plastic injection; relationship between materials and manufacturing processes; manufacturing cost estimation.

Linkage, kinematic diagram; degrees of freedom in motion; equivalent linkages; velocity analysis; cam; gear train; gear train analysis; acceleration analysis; acceleration diagram; force analysis of mechanism system; linkage force; static force analysis; dynamic force analysis; balance of machines; static balance; dynamic balance.

Partial differential equation of fluid motion; boundary layers, fluid flow about immersed bodies; fluid machinery; performance characteristics for pump, turbines and compressors; compressible flow.

Stress concentrations, plastic deformations, and residual stresses of bars, shafts, and straight beams; stresses in thin-walled pressure vessels; transformation and Mohr’s circle of plane strain; impact loading and work-energy method; deflections of beams under unsymmetrical bending and curved beams by moment-area method; problem solving by energy methods.

Power cycles and refrigeration cycles; thermodynamic property relations; energy change efficiency; gaseous mixtures and psychrometry; chemical reactions and combustion process analysis; phase equilibrium; compressible fluid flow.

Experimental studies via laboratory practices on thermodynamics, fluid mechanics, and automotive technology.

The aims of this course are to encourage students to analyse the systems of the English language; to expose them to a variety ofchallenging and interesting texts in the reading activities and to stimulate them to give their own opinions when participating in discussions.
IELTS-style reading and writing tasks are also included.

This course provides comprehensive coverage of the grammatical and lexical systems of English, so that students can express themselves with precision, and with a good command of idioms and collocation.

Probability and Statistics: probabilities and probability rules; conditional probability and Bayes’ rule; descriptive statistics; random variables; discrete random variables; mean and variance of discrete random variable; binomial, Poisson, geometric, exponential and normal distributions; sampling distributions; the central limit theorem; inferential statistics; linear regression; analysis of variance.