Course Details in 2023/24 Session

Module Title	LC Electrical Engineering 1
School	School of Engineering
Department	Elec, Elec & Sys Engineering
Module Code	04 28604
Module Lead	Dr Tim Jackson
Level	Certificate Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-24 hours Practical Classes and workshops-20 hours Guided independent study-156 hours Total: 200 hours
Exclusions
Description	In this module, the fundamentals of electronic and electrical engineering are covered. It will begin with analogue circuits describing the fundamentals of circuit analysis and the design of analogue devices. The fundamentals of digital systems will then be covered using Boolean algebra and related techniques to analyse digital circuits up to an introduction to flip flops. Finally Electrical power and machinery systems will be introduced. Syllabus. Analogue Circuits. Analysis of circuits: Basic circuit variables and sources Impedance, resistance, reactance, Ohm’s law and terminal equations of resistors, capacitors and inductors, phasor description by analogy with vectors. Series and parallel connections, voltage and current division and duality Kirchoff’s laws Mesh analysis and nodal analysis directly and with matrices Thevenin’s and Norton’s theorems Maximum power theorem Resonance Design of devices by applying circuit laws: Diodes in polarity protection and power-on indicators Inverting op-amp amplifier Differential op-amp amplifier Application of sources, LED indicators, diode protection and op-amp in a 4-point resistance measurement from a strain gauge applicable to a model bridge Digital Systems Contents: Introduction to data types: rational, irrational, integer and binary numbers. Variable representing binary signals. Combinations of binary variables (bits and words) Representations of integer and fractional numbers using binary bits – emphasis that all representations are simply bit-patterns. Stimuli of multi-bit inputs. Truth tables. Introduction to basic logic gates: AND gates, OR gates and Inverters, symbols, truth tables and Boolean equation representation. Circuit diagram representation of Boolean equations, Boolean equation representation of circuits. Canonical, sum-of-product representation of circuits and equations. Basic rules of Boolean algebra minimisation of Boolean equations by algebraic manipulation. The K-map. Boolean minimisation by use of the K-map. Introduction to the concepts of space and time relating to Boolean variables (functions of time). Introduction to Set-Reset, D-type, T-type and JK flip-flops, described via timing waveforms and transition tables. Conversion of flip-flops to other forms of flip-flops. Simple counters and shift-registers (if time permits). Electrical Power and Machines: Magnetic Circuits Magnetic Fields, Circuits and Materials, Transformers, Inductors DC Machines Theory and Operation Power in reactive circuits, power factor RMS values Diode based Rectifier Three Phase Systems and power
Learning Outcomes	By the end of the module students should be able to: Explain using mathematical arguments the origin and nature of the physical laws and design rules required for the analysis and design of analogue and digital circuits and electrical machines. Solve problems involving the analysis and design of analogue and digital circuits and electrical machines.
Assessment	28604-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (50%) 28604-02 : Coursework : Coursework (50%)
Assessment Methods & Exceptions	Main assessment: (30%) ongoing Canvas based combined formative/summative assessment e.g. quizzes with feedback opportunity to consolidate learning every week (already set up) (20%) laboratory data submission collected weekly (must be completed to pass module at 80% completion rate) (50%) end of module assessment: Multiple choice timed examination taken remotely or at invigilated PC clusters on campus, questions will appear in random order and are drawn from question banks. Supplementary/Reassessment Multiple choice timed examination taken remotely or at invigilated PC clusters on campus, questions will appear in random order and are drawn from question banks. Questions will cover topics and skills explored in lab so all learning outcomes are covered. Lab data analysis must be completed at 80% completion rate to be awarded module credits.
Other	Duplicate of Dubai-based module 30326
Reading List