CCMAS Course Search

Fundamental concepts: Electric fields, charges, magnetic fields. current, B-H curves Kirchhoff’s laws, superposition. Thevenin, Norton theorems, Reciprocity, RL, RC, RLC circuits. DC, AC bridges, Resistance, Capacitance, Inductance measurement, Transducers, Single phase circuits, Complex j - notation, AC circuits, impedance, admittance, susceptance.

Sounds and sound patterns in English Language (vowels and consonants, phonetics and phonology). English word classes (lexical and grammatical words, definitions, forms, functions, usages, collocations). Major word formation processes; the sentence in English (types: structural and functional). Grammar and usage (tense, concord and modality). Reading and types of reading, comprehension skills, 3RsQ. Logical and critical thinking; reasoning methods (logic and syllogism, inductive and deductive argument, analogy, generalisation and explanations). Ethical considerations, copyright rules and infringements. Writing activities (pre-writing (brainstorming and outlining). Writing (paragraphing, punctuation and expression). post- writing (editing and proofreading). Types of writing (summary, essays, letter, curriculum vitae, report writing, note-making, etc. Mechanics of writing. Information and Communication Technology in modern language learning. Language skills for effective communication. The art of public speaking.

Introduction to computers and computing; computer organisation – data processing, memory, registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation of non-numeric information; problem-solving and algorithm development; coding (solution design using flowcharts and pseudo codes). Data models and data structures; computer software and operating system; computer operators and operators precedence; components of computer programs; introduction to object oriented, structured and visual programming; use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT). Elements of software engineering.

Mathematical preliminaries for continuum mechanics. Linear Independence, basis vectors, dimensionality. The Einstein summation convention. Scaling, scalar, vector and tensor products. Cartesian and curvilinear orthogonal coordinate systems. Tensors as linear transformations. Tensor invariants. Additive and multiplicative decompositions. Differentiation of vectors and tensors. Gradient, divergence and curl. Integral theorems of stokes and gauss. Use of symbolic algebra and computed graphical illustrations. Thermodynamic laws. Prerequisite: GET 301, GET 302

Referential and spatial descriptions of deformation and motion. Polar decomposition theorem. The deformation gradient and other measures of shape changes. Material and spatial time derivatives. Referential and spatial gradients. Leibniz-Reynold’s transport theorem. Theory of stress and heat flow. Cauchy’s lemma. Cauchy stress law, balance laws of mass, momentum and energy. The second law of thermodynamics. Introduction to constitutive modelling. Prerequisite: SSG 321

Introduction to optimum systems control problems in engineering. Calculus of extrema and single-stage decision processes. State estimation techniques and design of linear filters. Vibrational calculus and continuous optimal control. Design of Linear Quadratic Regulators; the minimum time, minimum fuel, and minimum energy control policies. The maximum principle and Hamilton Jacobi theory. Applied optimum systems control examples.

Dynamic systems. Time domain and frequency domain modelling and response analysis of linear control systems. State Space representations, the exponential matrix and transfer functions. Detailed time response analysis of linear second order control systems. Routh’s method for determination of BIBO stability of linear control systems. Steady State Error Analysis and Design of Feedback Control Systems. Discrete time analysis for digital control systems. 400 Level GET 402 Engineering Project I (2 Units: C; PH 90) Learning Outcomes At the end of this course, the students should be able to: 1. Complete the design phase of a complex engineering problem sourced from industry or community during the SIWES III programme. 2. Demonstrate the connection between engineering product-making and the theoretical courses they have learned following the applicable industry best practices. Course Contents In the second semester of the 400-level students, preferably in groups, work from the university on the identified industry or organization to tackle industry complex engineering problems. Theoretical issues may be provided by the department faculty or industry experts. During the vacation, students will now work full time with the organisation/industry on the project as part of the SIWES III. The students can also go beyond the department and engage in multidisciplinary undertakings. Literature survey, review of existing systems etc. must be achieved to a satisfactory extent. GET 404 Engineering Valuation and Appraisal (2 Units: C; LH 30) Learning Outcomes At the end of this course, the students should be able to: 1. Identify at least three (3) objectives of engineering valuation work, valuer's primary duty and responsibility and valuation terminologies. 2. Describe at least four (4) Valuer's obligation to his or her client, to other valuers, and to the society. 3. Demonstrate with example the engineering valuation methods, valuation standards, and practices. 4. Prepare engineering valuation and appraisal reports and review 5. Discuss expert witnessing and ethics in valuation. 6. Determine price, cost, value, depreciation and obsolescence in real property, personal property, personal property, machinery and equipment, oil, gas, mines, and quarries valuation.

Computer graphics for modelling, design, and analysis. GUI based interaction with graphic design software. API graphics programming using Python or C++. Introduction to design applications in finite elements using computational fluid dynamics and multiphysical simulation for linear and nonlinear constitutive models; simulation and analysis tools such as fusion 360, NASTRAN, ANSYS, or solid works. Graphics for scenario analysis automation and optimization. Design project. Prerequisite: SSG 431

Elementary set theory, subsets, union, intersection, complements, Venn diagrams. Real numbers, integers, rational and irrational numbers. Mathematical induction, real sequences and series, theory of quadratic equations, binomial theorem, complex numbers, algebra of complex numbers, the argand diagram. De-Moiré’s theorem, nth roots of unity. Circular measure, trigonometric functions of angles of any magnitude, addition and factor formulae.

Functions of a real variable, graphs, limits and idea of continuity. The derivative, as limit of rate of change. Techniques of differentiation, maxima and minima. Extreme curve sketching, integration, definite integrals, reduction formulae, application to areas, volumes (including approximate integration: Trapezium and Simpson's rule).