Programmes / Courses under the Dean's Office

Programmes

MSc in Project Management

BTech Electrical Engineering

BTech Mechanical Engineering

Faculty Courses

  • Technical Report Writing & Presentations Workshop 2005

Report Writing & Presentations 2005
Referencing
Laboratory Manual
ENGR 1180 : Engineering Mathematics I
MATH 2230- Engineering Mathematics II

  • LEVEL: 1
    SEMESTER: 1
    COURSE CODE: ENGR 1000
    COURSE TITLE: INTRODUCTION TO ENGINEERING
    NUMBER OF CREDITS: 3 CREDITS
    COURSE DESCRIPTION
    : An introduction to the following: historical development of engineering; formation of the engineer; role and functions of engineers and professional organisations; creative and critical thinking; technical communications; ethics; liability; safety; legal forms of association; contracts; company law; intellectual property; engineering economics and business operations; infrastructure; energy systems and economics, environment and sustainable development; approaches to design.
  • LEVEL: 1
    SEMESTER: 1
    COURSE CODE: ENGR 1001
    COURSE TITLE: INFORMATION TECHNOLOGY FOR ENGINEERS
    NUMBER OF CREDITS: 3

    COURSE DESCRIPTION: Spreadsheets: Introduction to spreadsheets for repeat computations, creating and editing graphs and charts, use of solver, introduction to analysis tools. Databases: constructing a database using tables and forms, retrieving information through reports and queries. Binary computations: storage of data within the computer, variable types and limitations imposed on computations. Algorithms for simple numerical methods. Development of algorithms. Programming: Introduction to C++, coding of algorithms, syntax for data types, input and output, mathematical operations, loops, functions and pointers.
  • LEVEL: 3
    SEMESTER: 2
    COURSE CODE: ENGR 3000
    COURSE TITLE: THE TECHNOLOGY OF THE STEELPAN NUMBER OF CREDITS: 3
    COURSE DESCRIPTION:
    This course attempts to summarise and present, in a formal fashion, current knowledge on various technological aspects of the steelpan musical instrument. The major technologies that impact on the instrument are acoustics, mechanical vibrations, metallurgy, physical structure and signal analysis. However, no special prerequisite knowledge is required in any of these areas. The course starts off with an overview of the very subjective area of the perception of music. This is essential as it provides a reference point for later discussions.
    Other topics include the manufacturing process, including a discussion on the types of
    metallurgical properties required for different instrument characteristics, the modal properties of the instrument and the dynamics of the stick impact. The course ends with some consideration of significant recent developments.
  • LEVEL: 3
    SEMESTER: 2
    COURSE CODE: ENGR 3001
    COURSE TITLE: NATURAL HAZARDS & DISASTER MANAGEMENT IN THE CARIBBEAN
    NUMBER OF CREDITS: 3
    COURSE DESCRIPTION:
    Definitions and concepts, characteristics of natural hazards in the Caribbean, economic, social and environmental impacts; techniques for identification, mapping and prediction, vulnerability and risk assessment, the disaster management cycle, structural and non-structural mitigation, emergency planning, recovery and reconstruction, disaster management and development planning, disaster management and agriculture, tourism, public health, public policy and legislation, sociology of disasters, disaster education.
  • SEMESTER: 1
    COURSE CODE: FOST 3000
    COURSE TITLE: PRINCIPLES OF FOOD SCIENCE NO. OF CREDITS: 3
    SYLLABUS:
    The basic chemistry of carbohydrates, proteins, lipids, vitamins, salt, preservatives and antioxidants, enzymes, additives and water in relation to food preservation and processing.
  • SEMESTER: 2
    COURSE CODE: FOST 3001
    COURSE TITLE: PRINCIPLES OF FOOD PROCESSING NO. OF CREDITS: 3
    SYLLABUS
    : Introduction to basic concepts and operations used to accomplish food preservation.

 

MATHEMATICS COURSES

  • LEVEL: 1
    SEMESTER: 1
    COURSE CODE: ENGR 1180
    COURSE TITLE: ENGINEERING MATHEMATICS I NUMBER OF CREDITS: 3
    COURSE DESCRIPTION:
    Vectors: plane and space vectors, dot and cross product, vector equations of lines and planes. Elementary linear algebra: geometric interpretation of linear equations, Gaussian elimination, definition of a vector space, span and subspace, basis, dimension. Matrices: transpose, determinants, rank and its application to linear systems, matrix inversion by cofactors. Series: partial sums, comparison and ratio tests, Maclaurin and Taylor series. Complex numbers: definition and properties, complex roots of a quadratic equation, complex numbers as vectors, modulus and argument, products and quotients, De Moivre’s theorem, exponential form, hyperbolic functions, loci in the Argand diagram. Ordinary differential equations: definitions, direction fields, linear first order differential equations, separable differential equations, modelling with first order equations, exact equations, numerical approximations, homogeneous second order equations with constant coefficients, fundamental solutions, complex and repeated roots of the characteristic equation, reduction of order, method of undetermined coefficients.
  • LEVEL: 2
    SEMESTER: 1
    COURSE CODE: MATH 2230
    COURSE TITLE: ENGINEERING MATHEMATICS II NUMBER OF CREDITS: 3
    COURSE DESCRIPTION
    : Vector calculus: parametric curves and arc length, review of partial
    differentiation, vector fields, line integrals and double integrals, Green’s theorem, surface
    integrals, triple integrals and Divergence theorem. Laplace transforms: definition and existence of Laplace transforms, properties of Laplace transforms (linearity, inverse transform, shift formulae, Laplace transform of derivatives), applications and further properties of Laplace transforms (solving differential equations, convolution and integral equations, Dirac’s delta function, differentiation of transforms, Gamma function). Fourier series: definitions, convergence, even and odd functions, half range expansions. Partial differential equations: definitions, heat equation (derivation, solution by separation of variables, insulated ends as boundary conditions, nonhomogeneous boundary conditions), wave equation (derivation, solution by separation of variables), Laplace’s equation in Cartesian and polar coordinates.
  • LEVEL: 2
    SEMESTER: 2
    COURSE CODE: MATH 2240
    COURSE TITLE: STATISTICS NUMBER OF CREDITS: 2
    COURSE DESCRIPTION:
    Statistics and probability; frequency distribution, frequency polygons and histograms; introduction to probability; basic axioms; conditional probability, Bayes theorem, mutual independence; introduction to random variables; probability distribution, Bernoulli trials, the binomial distribution and the Poisson distribution; probability density and mass functions of a continuous random variable; expectation and variance; the exponential and normal distributions; distributions of sample means; point estimates; confidence intervals; statistical inference - tests of significance; linear regression.
  • LEVEL: 2
    SEMESTER: 2
    COURSE CODE: MATH 2250
    COURSE TITLE: INDUSTRIAL STATISTICS NUMBER OF CREDITS: 3
    COURSE DESCRIPTION:
    Statistics and probability; frequency distributions, frequency polygons and histograms; introduction to probability; basic axioms, conditional probability, Bayes theorem, mutual independence; introduction to random variables; probability distribution, Bernoulli trials, the Binomial distribution and the Poisson distribution; probability density and mass functions of a continuous random variable; expectation and variance; the exponential and normal distributions; distribution of sample means; point estimates; confidence intervals; statistical inference - tests of significance. Regression analysis; analysis of multiple regression; non-parametric statistical methods; analysis of variance; design of experiments; randomised block design and analysis.
  • LEVEL: 3
    SEMESTER: 1
    COURSE CODE: MATH 3530
    COURSE TITLE: MATHEMATICS III NUMBER OF CREDITS: 3
    COURSE DESCRIPTION:
    Linear algebra: systems of equations, vector spaces, determinants, eigenvalues, similarity, positive definite matrices, singular value decomposition. Optimisation and mathematical programming, calculus of variations.
    programming, calculus of variations.