PRINCIPLES OF CIRCUITS Kirchhoff’s voltage and current laws Ideal circuit elements: resistors, inductors and capacitors, voltage and current sources Mutual inductance The superposition theorem and linearity

STEP RESPONSE OF RL AND RC CIRCUITS Analysis of source-free RC and RL circuits Time constant of an RC and RL circuit The unit step forcing function Step response of RL and RC circuits

COMPLEX NUMBERS: Algebra; Argand diagram; polar form; Euler's formula

AC THEORY Properties of sine waves Sinusoidal excitation of RL and RC circuits: phase and amplitude of 1st order lead and lag. AC theory Impedance and admittance AC analysis of RLC circuits Resonant RLC circuits; coupled resonators Q factor Phasor diagrams Power in AC circuits Complex power Thevenin's theorem on AC circuits 3-phase circuits, phasors, instantaneous power in a balanced system

DIODE CIRCUITS Diode as a non-linear device Loadline solution of circuits Piecewise linear treatment of the diode Zener diode Rectifier and voltage regulator circuits

Learning & teaching methods

Assessment methods

These technical labs consider MATLAB and RC Filters and Frequency Response, addressing the above-listed learning outcomes. They are conducted under the umbrella of ELEC1029 but the marks contribute towards this module.

The design exercise considers circuits and programming, addressing the above-listed learning outcomes, as well as those of ELEC1201. It is conducted under the umbrella of ELEC1029 but the marks contribute towards this module and ELEC1201.

Skills labs are conducted under the umbrella of the zero-credit ELEC1029 module and address its learning outcomes. The marks contribute to a number of ELEC12xx modules, including this one.

Referral Method: By examination

 Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:

social and technological approaches to understanding the web;

the range of disciplines, research methods and theoretical approaches required to analyse, critique and develop the Web;

current and emerging research questions for Web Science.

Learning & teaching methods

Assessment methods

Referral Method: By examination

•  Relationship between C and C++; other OO languages

•  Introduction to the Raspberry Pi platform

•  Introduction to C++

o    Encapsulation

o    Classes

o    Objects

o    Inheritance

o    Polymorphism

•  Programming in C++

o    The software lifecycle

o    Source code control

o    Testing

o    object-oriented programming

o    Use of OO modelling tools, including UML

o    GUIs; UI design

o    Exception Handling

o    Storage (Files & Databases)

o    Dynamic memory allocation

•  Introduction to data structures

o    Trees and Graphs

o    Stacks queues and linked lists

o    searching and sorting

•  Use of high-level program development tools

•  Approaches to collaborative programming

•  Databases and other persistent storage

•  Operating systems and device drivers

•  Introduction to System C

•  Multi-threaded programming in C++ 2011

•  Introduction to distributed computing

Learning & teaching methods

Assessment methods

These technical labs consider C++ programming, addressing the above-listed learning outcomes. They are conducted under the umbrella of ELEC1029 but the marks contribute towards this module.

Referral Method: By examination

• Mathematical proof
• Proof by case analysis, proof by contradiction.
• Induction and recursion.
• Universal properties.
• Sets, functions and relations
• Basic notation, representations and examples. Membership and subsets.
• Operations on sets: union, sum, intersection and complement.
• Pairs, tuples, cartesian products, powersets.
• Relations, equivalence relations and partial orders.
• Functions: injections, surjections, bijections.
• Cardinality, infinite sets.
• Logic
• Propositional logic. Logical connectives.
• Syntax and semantics.
• Natural deduction, soundness and completeness.
• Quantifiers and predicate logic.
• Combinatorics
• Basic principles of counting: product and sum rules, inclusion-exclusion principle, pigeonhole principle.
• Combinations, permutations and arrangements, binomial theorem.
• Introduction to trees and graphs: directed, undirected and weighted.
• Probability and statistics
• Introduction to probability: elementary probability formulae, discrete and continuous probability distributions.
• Introduction to statistics: sampling, confidence intervals, hypothesis testing, regression.
• Algebra
• Linear and quadratic equations, systems of equations.
• Polynomials: basic properties and operations.
• Vectors: basic properties, scalar product, vector product.
• Matrix algebra: basic properties, inverse, determinant, eigenvalues, eigenvectors, solving systems of linear equations.

Learning & teaching methods

Assessment methods

Referral Method: By examination

• Circuit Techniques
  • Basic operational amplifier principles and circuits
  • Differences between real and ideal operational amplifiers
  • Basic analogue filter techniques
  • Butterworth and Chebychev filter implementations
• Transistor Circuits
  • Basic operation of a transistor
  • Differences between transistors (BJT and FET)
  • Transistor biasing
  • Basic amplifier configurations
  • Current Mirrors
  • Long Tail Pair configuration
  • Components of an Op-amp
  • Simple applications of analogue design
• Signal Processing Techniques
  • The concepts of signal and system
  • The general techniques of signal conversion and analysis
• Communications Techniques
  • Block diagram, constellation diagram and eye diagram
  • Spectral analysis
  • Baseband communication system
  • Bit Error Ratio computation
• Report Writing
  • Writing and the Scientific Method
  • Practical approaches to report writing
  • Maintaining Academic Integrity

Learning & teaching methods

Assessment methods

Referral Method: By set coursework assignment(s)

Learning & teaching methods

Assessment methods

Referral Method: By examination

Introduction: Fluids and Other Materials:

• Properties: density, pressure, temperature, viscosity, surface tension/capillary action 
• Definitions: Newtonian fluids, non-Newtonian fluids, plastics

Hydrostatics:

• Hydrostatic pressure and head, absolute/gauge and atmospheric pressure, the hydrostatic paradox, measurement by manometer
• Forces on free surfaces, 
• buoyancy and submerged and floating body stability

Fluid mechanics

• Compressible and incompressible flow, 
• Laminar and turbulent flow, Reynold’s number, mean velocity, 
• Continuity of flow (conservation of mass). 
• Conservation of momentum
• Applications: force on plates from jets, pipes and curved pipes from jets, jet reaction force/propulsion 
• Streamlines, Euler’s equation, Bernoulli’s equation, and Navier-stokes 
• Applications: Closed conduit flow/ pipe flow, Reynolds number, friction loss, Moody diagram

Thermodynamics 1

• Introduction and thermodynamic terminology; systems (open and closed), properties, processes, cycles; work; heat; specific heat; temperature (zeroth low of thermodynamics); internal energy; enthalpy. 
• First Law of Thermodynamics First law and SFEE; specific heats of gases, application to non-flow processes

Fluid mechanics and Thermodynamics

• Applications of SFEE to nozzles, diffusers, turbines
• Conservation of energy and applications to fluid flow, pitot tube, ecryst meter

Thermodynamics 2

• Second Law of Thermodynamics Statement of the law; heat engines; cycle efficiency; reversible and irreversible cycles and processes; the Carnot cycle; the reversed Carnot cycle; concept of entropy.

Molecular Structure of Polymers

• Polymerisation
• Molecular architecture
• Copolymerisation
• Thermoplastics and thermosets

Amorphous Polymers

• Brittle materials
• The glass transition
• The thermodynamics of deformation
• The entropy spring
• Viscoelasticity, creep, stress relaxation and superposition
• Representations of elastic and viscous behaviour
• The Kelvin Model of viscoelasticity
• The Maxwell Model of viscoelasticity

Ordering in Polymers

• The thermodynamics of crystallisation 
• Fractionation, segregation and properties
• Environmental stress cracking and crazing
• Synthetic and biological fibres
• Fibre compactions

Blends and Composites

• The thermodynamics of mixing
• The mechanical properties of miscible and immiscible blends
• Copolymerisation – structure and mechanical properties
• Anisotropy in aligned long-fibre composites
• Short fibre composites – end effects, and orientation

Properties of engineering materials relevant to failure

• Engineering stress-strain curves
• Yield strength and hardness
• Brittle and ductile materials; impact and fracture toughness
• Fatigue and creep resistance
• Corrosion

Elements of fracture mechanics

• Criteria for brittle and ductile fracture, relation between yield strength and toughness, Ductile-Brittle Transition Temperature
• Designing of tough materials, metal-matrix composites

Metals and Alloys: microstructure vs mechanical properties

• Crystalline and polycrystalline solids, grains and grain boundaries
• Dislocations motion as a primary plastic deformation mechanism
• Grain size, solution, order, precipitation and dispersion strengthening
• Energy stored in grain boundaries and dislocations, effect of Cold Work

Microstructure control in metal alloys during solidification

• Free energy as a driving force, phase diagram, partition coefficient 
• Annealing: recovery, ecrystallization and grain growth
• Precipitation, nucleation and growth, dispersion strengthened alloys

Diffusion

• Thermal activation
• Steady-state and transient processes
• Surface hardening via diffusion

Learning & teaching methods

Assessment methods

Referral Method: By examination

Analysis and Design -

  Requirements Engineering 

  System Analysis and Design Principles 

  Architectural and Detailed Design in OO

 Approaches to Software Testing

Tools - 

  Tools for UML 

  Rodin for Event-B

Critical Systems -

  Design for Critical and Safety Critical Systems

  Levels of Criticality

  Formal Modelling of Critical Systems

  Validation and Verification

Learning & teaching methods

Assessment methods

Referral Method: By examination

Wireless Communications

- Radio propagation issues: pathloss, slow-fading, fast-fading, dispersion, wideband channels, power-budget, etc

- Cellular principles and multiple access techniques, such as FDMA, TDMA, CDMA, SDMA, OFDMA, etc.

- Modulation schemes, detection techniques and error rate calculations;

- Coherent and non-coherent communications;

- Space-time processing principles and diversity techniques;

- Direct-sequence code division multiple-access;

- Frequency-hopping code division multiple-access;

- Hybrid spread-spectrum code division multiple-access;

- Broadband multicarrier and  orthogonal frequency division multiplexing (OFDM) communications.

Optical Communications

- WDM systems

- dispersion (material and waveguide) but not based on derivations of modes

- effects of dispersion on choices of fibre - DSF, DCF and NZ-DSF

- multimode fibres and capacity

- nonlinear limits on power transmission

- electronics dispersion compensation

- advanced coding formats applied to optical comms

- error budget and simple comparison to back-to-back BER / power

Learning & teaching methods

Assessment methods

Referral Method: By examination

Each week is centred around a guest lecture from an external speaker on a variety of topics under the following headings:

• E-Heatlth
• Cybercrime and cyber security
• Open data and open access
• Politics and activism

Learning & teaching methods

Assessment methods

The examination must be sat at computers, with full access to the Web and other information services. (Only synchronous communication during the exam is barred.)

Referral Method: By examination