This course introduces the fundamental concepts, circuits laws, theorems and techniques used in electrical circuit analysis and transient analysis, as well as its application. The course covers circuit topologies and DC excitations, transient response, AC response, polyphase circuits. The use of computer software for circuit simulation and design are emphasized to expose students to computer-based tools.(Laboratory) This course allows the students to verify the laws and theorems discussed in fundamentals of electrical circuits (lecture) through simulation, experimentation and project construction. The course topics include experimental determination of the characteristics of the different circuit configuration ( series, parallel, series/parallel, delta, and wye), electrical power, Ohm’s Law, Kirchoff’s Voltage and Current Laws, Superposition Theorem, Thevenins equivalent circuit, and maximum power transfer. The use of computer software for circuit simulation and design are used as basis in verifying experimental results and to expose students to computer-based tools.
This course covers vectors; kinematics; dynamics; work, energy and power; impulse and momentum; dynamics of rotation; elasticity; and oscillation. Fluids; thermal expansion, thermal stress; heat transfer; calorimetry; waves; electrostatics; electricitry; magnetism; optics; image formation by plane and curved mirrors; and image formation by thin lenses
includes Computer networks and open system standards; transmission media and
methods; LAN and WAN technologies; packet forwarding; host-to-host
communications; network services; wireless networks; computer network design;
network administration, management and security.
This course covers the different ways of representing
and storing data, including list, stacks, queues, trees, sets, and graphs, sorting and searching algorithms. It also includes the
study of algorithms used to create, update and access these data structures.
Discussions may be done using pseudocodes or sample programs, and implementation may use C++ or other languages that support these structures.
This course covers the concept of numerical analysis and computer software tools in dealing with engineering problems. It includes techniques in finding the roots of an equation, solving systems of linear and non-linear equations, eigenvalue problems, polynomial approximation and interpolation, ordinary and partial differential equations. The Monte-Carlo method, simulations, error propagation, and analysis, the method of least squares and goodness-of-fit tests are also discussed.
This course covers operational amplifiers. Signal converters, power switching devices and the construction and operation of sensors and transducers for converting physical parameters into electrical signals and vice-versa. The course focuses on the application of this devices in developing signal conversion circuits that allows measurement, processing and control of physical parameters by digital processing system such as a finite state machine or a digital computer. Topics on actuators are also included.
This is an introductory course
in computer programming logic.The students will learn algorithms applicable to
all programming languages, including: identifiers, data types, arrays, control
structures, modular programming, generating reports, and computer memory
concepts. The students will learn to use charts commonly used in business and
information processing. Program logic will be developed using flowcharts and
The course includes Computer networks and open system standards; transmission media and methods; LAN and WAN technologies; packet forwarding; host-to-host communications; network services; wireless networks; computer network design; network administration, management and security.
This course includes the study of first order differential equations, higher order linear differential equations; linear differential equations with constant coefficients; simultaneous linear differential equations; Laplace transforms; numerical methods, boundary value and initial value problems, qualitative analysis of solutions, and applications of differential equations.
This course introduces the concept of integration and its
application to some physical problems such as evaluation of areas, volumes of
revolution, force and work. The fundamental formulas and various techniques of
integration are taken up and applied to both single variable and multi-variable
functions. The course also includes tracing of function of two variables for a
better appreciation of the interpretation of the double and triple integral as
volume of a three dimensional region bounded by two or more surfaces.