The University of Southampton

ELEC1201 Programming

Module Overview

To introduce the student to the concepts of programming using the C programming language, with an emphasis on programming for embedded systems. 

Aims & Objectives

Aims

Having successfully completed the module, you will be able to:

A1. Know how to write and debug programs using an IDE.

A2. Understand the principles of designing structured programs.

A3. Know when to use the appropriate statements available in the C language.

A4. Know how to download and debug programs on an embedded target.

A5. Understand the differences between compiled and interpreted languages.

Intellectual Skills

Having successfully completed the module, you will be able to:

B1. Analyse existing programs.

B2. Design new structured programs.

B3. Debug and test programs.    

Subject Specific Skills 

Having successfully completed the module, you will be able to:

C1. Write programs to execute on an AVR microcontroller.

C2. Communicate with an AVR microcontroller using simple serial protocols.

C3. Interact with the physical world using an AVR microcontroller.

C4. Use a number of compilation tools.

C5. Use a scripting language for numerical and graphical tasks.                    

Employability/Transferable/Key Skills

Having successfully completed the module, you will be able to:

D1. Program.

D2. Manage your time in a laboratory.

D3. Record and report laboratory work.        

Syllabus

  • Basic concepts:
    • Storage and CPU
    • Data movement
    • Flow control
    • Input/output
  • Program design:
    • Structured programming
    • Function decomposition
    • Data representation
    • Hardware/software decomposition
    • Testability
  • Software development:
    • C Programming under Windows and Linux
    • IDEs and command line tools
    • Debugging
    • Static analysis
    • Testing
  • Embedded software development on the AVR microcontroller:
    • C programming
    • Assembly language
    • AVR instruction set
    • Digital interfacing (De-bouncing, parallel and serial IO)
    • Analogue interfacing (ADC, PWM)
    • Timers and counters
    • Interrupts
  • Simple communications:
    • UART (for communications and debugging)
    • I2C
    • SPI
    • JTAG (for programming and OCD)

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture24
Demonstration or Examples SessionWeekly feedback sessions on the laboratory sessions12
Specialist Lab40.5

Assessment

Assessment methods

These technical labs consider C programming and embedded C programming, 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 ELEC1200. It is conducted under the umbrella of ELEC1029 but the marks contribute towards this module and ELEC1200.

MethodHoursPercentage contribution
Technical Labs: C Programming-20%
Technical Labs: Embedded C Programming-25%
Design Exercise-15%
In-class test: Hosted C-20%
In-class test: Embedded C-20%

Referral Method: By examination, with the original coursework mark being carried forward

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COMP8010 Differential Equations and Simulations

Module Overview

Aims & Objectives

Aims

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture36
Tutorial12

Assessment

Assessment methods

MethodHoursPercentage contribution

Referral Method: By examination

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COMP8006 Introduction to Statistical data Analysis in Research

Module Overview

To introduce participants to the key issues associated with experimental and observational studies in the domain of computer science and cognate areas. To develop the basic skills and knowledge needed to plan, analyse, and interpret such studies. In particular, to develop the basic skills and knowledge needed to statistically analyse data and interpret the results. To attain these aims through conceptual understanding and minimal (but not negligible) formal mathematical treatment.

Aims & Objectives

Aims

Explain basic concepts in statistical analysis Explain basic concepts in research design and data collection Explain the principles underpinning statistical data analysis Critically evaluate research designs and their data analysis Select and apply appropriate statistical techniques Interpret the results of the basic statistical techniques (F, t, r, chi) Plan observational and experimental research studies Calculate required sample sizes Use SPSS to apply statistical techniques

Syllabus

Basic concepts of research design (the philosophy of the nature of data, theory, evidence, science, and proof;  observational and experimental studies;  independent and dependent variables;  differences between samples versus correlations between measures;  control and matching in experimental design;  blind and double-blind studies;  experimental and observational bias) Basic concepts of statistical data analysis (measures of central tendency and variability, populations, samples, sampling distributions, effect of sample size and population variance on sampling error, central limit theorem, confidence intervals, hypothesis testing, types of error, test power, effect magnitude, determining appropriate sample sizes, non-parametric techniques) Basic concepts of psychometrics (the construction of questionnaires and other data gathering instruments;  instrument reliability and validity) Basic concepts of correlational and observational designs (causality and correlation;  scatter plots;  correlation matrix;  simple linear regression) Basic concepts of experimental designs and principles of the analysis of variance (multiple independent variables, interactions, main effects, Latin squares;  repeated measures / split plot designs and more sensitive tests of effects; adjusting for violation of assumptions) Single (uni-) variate analysis of variance;  analysis of covariance;  analysis of factorial designs;  the general linear model (Student’s t-test as the test of a difference relative to sampling error;  F test as the test of the variability of sample means relative to sampling error;  degrees of freedom, MS, and SS;  post-hoc tests;  error rates and Type I error control;  main and interaction effects and the structure of their tests;  the interpretation of interaction effects;  simple main and simple interaction effects;  profile graphs)

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture20
Tutorial12

Assessment

Assessment methods

MethodHoursPercentage contribution
Weekly problem sets-100%

Referral Method: There is no referral opportunity for this syllabus in same academic year

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OPTO6003 Photonic Materials

Module Overview

The aim of the course is to provide knowledge of optical materials as a fundamental tool for understanding optical fibres, optical communications, sensing and nonlinear optics, in general. The course will give a detailed and mathematical introduction to glasses and crystals, optical fibres, fiberized devices and sensors, detectors, nonlinear phenomena and their applications

Aims & Objectives

Aims

Knowledge and Understanding

 

Having successfully completed the module, you will be able to:

 

A1. Understand the fundamentals of photonic materials and recognise the importance of photonic materials in device applications.

A2. Design, fabricate and characterise photonic materials (single crystals, amorphous and glassy materials) and evaluate their interaction with light.

A3. Perform quantitative calculations on the properties of optical materials (loss, dispersion, nonlinearity)

A4. Comprehend the basics of light propagation in waveguides and optical fibres, the fundamentals of optical fibre devices and sensors and a qualitative understanding of waveguide properties (singlemode vs multimode, dispersion, nonlinearity, active vs passive)

A5. Design basic fiberised components and sensors

A6. Understand the basics of nonlinear optics.

A7. Evaluate nonlinear properties of specific devices

 

Intellectual Skills

 

Having successfully completed the module, you will be able to:

 

B1.       Appreciate the influence of materials upon the performance of optical devices and sensors. 

B2.       Understand the underlying physical principles that determine the way in which optical devices and sensors are designed

 

 

Subject Specific Skills 

 

Having successfully completed the module, you will be able to:

 

C1.      Formulate and propose an appropriate material or combination of materials for device development.

C2.      Design optical fibre devices/sensors and understand the tools required to fabricate them.

C3.      Conceive nonlinear devices and their response.                 

 

Employability/Transferable/Key Skills

 

Having successfully completed the module, you will be able to:

 

D1.      Produce a scientific report on specific topics.

D2.      Design a device and predict its performance.

Syllabus

Materials in Photonics

-           Introduction

-           Single crystals, amorphous and glassy materials

-           Crystallography

-           Novel glasses and transparent glass-ceramics

 

Materials Fabrication and Characterisation

-           Crystal growth and thin-film deposition

-           Structural characterisation

-           Thermal and Optical characterisation

 

Light – Matter – Structure Interaction

-           Light–Matter interaction

-           Waveguide structures: planar waveguides, fibres and optical microresonators

-           Fibre loss mechanisms: Structure-property correlations

 

Optical fibres

-           Guiding conditions

-           Optical properties

-           Specialty fibres and photonic crystal fibres

-           Fabrication

 

Fibre gratings 

-           Bragg gratings

-           Long period gratings

-           FBG and LPG applications

 

Fibre devices

-           Fused devices

-           Optical Fibre Sensors

 

          Detectors

          -           Silicon

          -           III/V detectors

Introduction to Nonlinear Optics

-           Nonlinear susceptibility

-           Wave Equation

-           Nonlinear interactions (SHG and phase matching)

 

Nonlinear Fibre Optics

-           Short pulse propagation (NLSE)

-           Dispersion and nonlinearity (pulse solutions)

-           Gain

 

Novel Fibres and Waveguide Devices (semiconductors and soft glass)

-           Material considerations

-           Engineering dispersion and nonlinearity

-           Applications

 

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture30
Tutorial6

Assessment

Assessment methods

MethodHoursPercentage contribution
Coursework Assignment-30%
Exam2.5 hours70%

Referral Method: By examination

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OPTO6002 Solid State and Ultrafast Lasers

Module Overview

The aim of the course is to provide knowledge of solid state and ultrafast lasers as fundamental tools of contemporary science and technology. The operating principles of a wide variety of lasers in these two areas will be covered, as well as practical implementations and uses. Solid state and Ultrafast lasers are used in many branches of science and technology, and are an important sub-field within the field of photonics, because they drive technologies in related disciplines.

Aims & Objectives

Aims

Knowledge and Understanding

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

  • Appreciate the potential variety of solid state lasers, with their various advantages and disadvantages
  • Appreciate the breadth of applications for solid state lasers, and why each laser suits a particular application
  • Appreciate the physics behind ultrafast pulse generation and propagation
  • Appreciate the diversity and applicability of attosecond technologies in science and engineering.

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Understand how the design of lasers will influence their output characteristics
  • Be able to assess the application of different laser systems to particular applications
  • Perform quantitative calculations on the operating parameter and output parameters of a wide variety of solid state and ultrafast lasers.
  • Predict the properties of new laser systems based upon knowledge of their design parameters

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Use a variety of information sources (lectures, web, journals) to understand & solve problems (in this case in contemporary laser physics)
  • Use feedback from problem classes to prepare for answering examination questions

Syllabus

•  Part 1: Solid state lasers

  • Fundamentals of lasers
  • Laser beams and their properties - Gaussian beam optics, beam propagation factor (M2), multimode beams
  • Spectroscopic and physical properties of solid-state and fibre laser gain media
  • Theory for three/four-level lasers – Threshold, slope efficiency, output power, gain
  • Laser modes and resonator design
  • Pump sources, pump delivery and coupling schemes
  • Transverse and longitudinal mode selection
  • Wavelength diversity – Main laser transitions, wavelength selection and tuning
  • Continuous-wave and pulsed laser architectures – Design considerations and techniques
  • Heat generation and thermal management
  • Power scaling strategies (cladding-pumping, MOPAs, thin disk, planar/slab, etc)
  • Power scaling limits (thermal, damage, nonlinear, self-focussing)

•  Part 2 – Ultrafast lasers and attosecond technologies

•  ultrafast oscillators

•  ultrafast pulse measurement: autocorrelation,  FROG, SPIDER

•  dispersion and ultrafast pulse propagation.

•  Chirped pulse amplification: Ti-sapphire, fibre

•  basics of HHG

•  QM modelling of attosecond electron dynamics

•  phase matching in extreme NLO

•  attosecond pulse production & measurement

•  attophysics examples

Learning & Teaching

Learning & teaching methods

Combination of lectures, lab visits and problem classes.

ActivityDescriptionHours
Lecture36
Tutorial12

Assessment

Assessment methods

MethodHoursPercentage contribution
6 Problem Sheets-30%
Exam2.5 hours70%

Referral Method: By examination

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COMP1203 Computer Systems I

Module Overview

This module aims to give students an understanding of the fundamentals of computer hardware and of the principles of operation of computers and peripheral devices. In addition, the module aims to give an overview of the main families of microprocessors and their differences. Some digital electronics is also covered - with hands-on experience in the lab with a small arm-based linux board.

Aims & Objectives

Aims

Intellectual Skills

Having successfully completed the module, you will be able to:

B1.  Describe the main components of a computer and understand their function.

B2.  Understand differences between the main architectural families and modules

B3.  Understand the basic features and functions of microcontrollers.

Subject Specific Skills

Having successfully completed the module, you will be able to:

C1.  Write simple programs in a low-level programming language (assembly)

Syllabus

  • Computer architecture evolution
  • Introduction to Digital Electronics
  • Computer arithmetic
  • Assembly programming
  • CPU structure
  • RISC, Superscalar Architectures
  • Buses and Interconnection
  • Memory Systems and cache
  • Input and Output. Interrupts
  • Storage systems and RAID
  • Advanced architectures
  • Introduction to Operating Systems
  • ARM Linux-based single board computers

Learning & Teaching

Learning & teaching methods

Combination of lectures, labs and self-driven reading and learning.

ActivityDescriptionHours
Lecture36
Computer Lab6

Assessment

Assessment methods

MethodHoursPercentage contribution
Laboratory Work-25%
Exam2 hours75%

Referral Method: By examination

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COMP1202 Programming I

Module Overview

This module aims to introduce students to the principles of programming using an object oriented approach, and to provides them with the programming skills necessary to continue the study of computer science. Java is used as the introductory language.

Aims & Objectives

Aims

Knowledge and Understanding

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

  • Simple object oriented terminology, including classes, objects, inheritance and methods.
  • Basic programming constructs including sequence, selection and iteration, the use of identifiers, variables and expressions, and a range of data types.
  • Good programming style

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Analyse a problem in a systematic manner and model in an object oriented approach

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Demonstrate a range of basic C&IT skills, including use of the Web to locate study materials

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Design a short program, compile the program, debug the program and test the program
  • Use simple programming environments to aid the above process

Syllabus

  • Writing and running programs
  • Compilation, Interpretation and the Java Virtual Machine
  • Variables, Objects, Primitives and Scope
  • Methods
  • Computational Thinking
  • Constructors
  • Loops and Arrays
  • Collections and Iterators
  • The Java Library
  • Integrated Development Environments
  • Testing and Debugging
  • Software Design (What makes a good program)
  • Super and Sub Classes (Inheritence)
  • Polymorphism and Dynamic Binding
  • Abstract Classes and Interfaces
  • Designing Applications (Moving from problem to solution)
  • Event Driven Programming

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureTen double lectures that introduce students to key topics, followed by a final revision lecture.21
TutorialSpace Cadets: An optional weekly session for students who need more challenging topics and materials10
TutorialSpace Monkeys: An optional weekly session for students new to programming who need additional support10
Computer LabTen two-hour labs that complement the lectures, and give students the chance to practice the topics and principles introduced that week20

Assessment

Assessment methods

The exam is open book, and taken on University workstations with full access to internet resources (although no communication software or social media are permitted).

MethodHoursPercentage contribution
Coursework-30%
Laboratory Work-20%
Exam3 hours50%

Referral Method: By examination

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OPTO6004 Metamaterials, Nanophonics and Plasmonics

Module Overview

The aim of the course is to provide knowledge and basic understanding of the fundamental and applied aspects of controlling, guiding and manipulating electromagnetic radiation on the sub-wavelength. The course will present a detailed introduction to the three cornerstones of future photonic technologies, namely metamaterials, plasmonics and nanophotonics, covering the latest advancements in these new rapidly expanding research fields.

Aims & Objectives

Aims

Having successfully completed the module, you will:

A1. Gain knowledge on electromagnetism, near-field optics and plasmonics 

A2. Comprehend the concept of metamaterials and underlying principles of their operation

A3. Learn about the existing and potential applications of metamaterials 

A4. Understand the basics of transformation optics

A5. Understand how light can be guided and manipulated on the nanoscale

A6. Learn about the existing nanofabrication technologies

Intellectual Skills

Having successfully completed the module, you will be able to:

B1. Follow, understand and appreciate current research in metamaterials, nano-photonics and plasmonics.

B2. Apply knowledge gained during the course to solve problems related to engineering response of plasmonic and metamaterial structures.

Subject Specific Skills 

Having successfully completed the module, you will be able to:

C1. Relate the electromagnetic properties of metamaterials to their structural motifs and complexity.

C2. Design metamaterial and plasmonic nanostructures and identify the techniques allowing their fabrication.

Employability/Transferable/Key Skills

Having successfully completed the module, you will be able to:

D1. Efficiently solve scientific problems.

D2. Think analytically.

D3. Study effectively.

Syllabus

1. Introduction to the course

2. Metamaterials: theory and design

3. Negative refraction and perfect lens

4. Engineering giant optical activity

5. Theory of planar metamaterials

6. Chiral effects in planar metamaterials

7. Dispersion engineering and slow light

8. Collective effects in metamaterials

9. Cloaking and transformation optics (part 1)

10. Cloaking and transformation optics (part 2)

11. Metamaterial fabrication technologies

12. Optics of metals

13. Plasmons and their excitations

14. Plasmonic nanoparticle

15. Hybridising plasmonic resonances (part 1)

16. Hybridising plasmonic resonances (part 2)

17. Plasmonic waveguides

18. Challenges in plasmonics

19. Optical antennas

20. Extraordinary transmission

21. Purcell effect

22. Low-dimensional forms of carbon (part 1)

23. Low-dimensional forms of carbon (part 2)

24. Photonics of nanoscale phase transitions

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture3 lectures per week24
Tutorial1 problem class per week9

Assessment

Assessment methods

MethodHoursPercentage contribution
Problem Classes-20%
-%
Exam2.5 hours80%

Referral Method: By examination

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ELEC2216 Advanced Electronic Systems

Module Overview

This module focuses on how to create real electronic systems. It covers 'building block' circuits using biplolar transistors and FETs, and looks at the use and operation of op-amps. It also covers how to deliver timing in circuits, interfacing in mixed-signal electronic systems (using ADCs and DACs), and filters. It also looks at how to provide power to systems, and interface with sensors.

Aims & Objectives

Aims

Knowledge and Understanding

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

  • Demonstrate understanding of circuit analysis for bipolar and MOS circuits
  • Demonstrate knowledge and understanding of the requirements for and operation of sensor interface circuits, power supplies, data converters and oscillators
  • Understand the key concepts of feedback in electronic circuits
  • Understand the concepts of filter design, and be able to demonstrate knowledge and understanding of how to design a simple filter using operational amplifiers

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Apply key circuit analysis theory to allow the abstraction of problems
  • Use feedback in circuit design and explain its importance
  • Apply filter design methods to design simple filters
  • Derive circuits for sensor interface circuits and oscillators
  • Use simulation to investigate a range of problems related to electronic circuits
  • Interpret datasheets and use them to aid the design of systems

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Record and report laboratory work
  • Define problems in standard form to allow standard solutions

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Analyse simple circuits containing active elements such as bipolar and MOS transistors, and Op-amps
  • Appreciate the practical limitations of such devices
  • Apply links between mathematical concepts to a range of engineering problems

Syllabus

Transistor Modelling and Circuits

  • Ebers Moll Model for the bipolar transistor and its modifications.
  • Hybrid pi model and high frequency effects.
  • SPICE parameters for bipolar transistors.
  • Common emitter, common base and common collector amplifiers.
  • Bode Diagram, Bandwidth, low and high frequency effects.
  • Miller effect
  • Amplifier design.
  • Differential pair.

Operational Amplifiers

  • Design and properties of simple op amps
  • Effect of feedback network on BW.  Closed loop and open loop Gain and BW with feedback.  Interaction with internal pole of op-amp.  Stability
  • Limitations of real op amps
    • Slew rate
    • Input and output range
    • Offset voltage and current
    • Noise sources

Timing

  • Why timing is important
  • Ring oscillators
  • Relaxation oscillators and 555 timers
  • Voltage-controlled oscillators
  • Frequency references – principles of quartz crystal as a frequency reference, use of dividers for different frequencies, integration of crystal oscillator into circuits

Data Conversion

  • Basic specs of converters: inc. sample rate (relation to Nyquist) linearity, resolution (relation to SNR)
  • Introduction to Analogue-to-Digital Conversion
    • Sample and Hold, analogue multiplexing
    • Anti-alias filter requirements.
    • Topologies: Successive Approximation, Dual Slope, Binary Weighted
  • Introduction to Digital-to-Analogue Conversion
    • Properties of DACs
    • R/2R ladder topology
    • The need for reconstruction filters

Filters

  • Butterworth design using Sallen-Key circuit

Sensor Interfacing

  • Resistive-output sensors
  • Bridge circuits
  • Differential amplifiers

Power supplies

  • Transformers and rectification
  • Linear regulators
  • Switching regulator types

System Considerations

  • System-level stability: decoupling, ground loops
  • Basics of EMC and screening
  • Examples of complete electronic systems

Learning & Teaching

Learning & teaching methods

There will be 36 hours of lectures, 2 x 3-hour labs, and a number of tutorial sessions (schedule to be advised).

ActivityDescriptionHours
Lecture36
Tutorial12
Specialist Lab6

Assessment

Assessment methods

MethodHoursPercentage contribution
Design task, approx 500 words-10%
2 x 3-hour laboratory-10%
In-class tests-5%
Exam2 hours75%

Referral Method: By examination

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ELEC2215 Power Circuits

Module Overview

The module aims to provide a detailed understanding of more advanced topics in circuit theory, in particular developing a good understanding of the fundamental theory of three phase circuits, power transmission lines, general network solutions and the state space approach.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfullycompleted the module, you will know:

A1.       Concepts of network topology applied to network problems.

A2.       State-space methods applied to network problems.

A3.       Basic synthesis techniques.

A4.       Power in AC circuits, conservation of power.

A5.       Transmission line theory; short, medium and long lines, including full solution.

A6.       Balanced and unbalanced three phase circuits.

Intellectual Skills

Having successfully completed the module, you will be able to:

B1.       Calculate electrical power in single and three-phase circuits.

B2.       Apply different solution methods to general electrical network problems.

B3.       Model transmission lines of varying length. 

B4.       Apply sequence network representation to overhead lines and buried cables. 

B5.       Use basic synthesis techniques. 

Subject Specific Skills 

Having successfully completed the module, you will be able to:

C1.      Perform a range of electrical measurements on three-phase ciruits.

C2.      Undertake measurements of transmission line parameters.

C3.      Model and analyze circuits with different methods. 

C4.      Apply basic synthesis techniques for realising impedances. 

Employability/Transferable/Key Skills

Having successfully completed the module, you will be able to:

D1.      Undertake laboratory experiment as part of a small team.

D2.      Record and report laboratory work.

Syllabus

Transmission line theory: Definition of short, medium and long lines and their simulation with discrete elements; solution of T and Pi networks, with appropriate phasor diagrams, ABCD constants. Lossy and lossless line models. Voltage and current loci; rigorous solution for uniformly distributed constants (in both the time and frequency domains); reflected and incident values, propagation constant, attenuation and phase constants, surge/characteristic impedance; algebraic and hyperbolic equations with ABCD comparison of the latter with Pi networks.  Impactof transposition.  Application of sequence networks.

Network Topology: Definitions: trees, links, loops, cuts etc; conversion of circuits to branches and loops etc and the possible variations for any given circuit; expansion of Kirchhoffs laws in cuts and loops; formation of current branch matrices and the relationships I = C.i and V = A.B; determination of admittance and impedance matrices; methods of solutions (including revision of matrix algebra).

State Space: Motivation; definitions: state-variable, state-variable, etc; algorithms for writing state equations for circuits; solution of such equations by Laplace transform methods; solution of simple circuit network problems. Solution of state equations in the time domain (linear-time invariant case): solution of the state differential equation (exponential of a matrix, its computation, forced- and free response in the state-space setting); dynamics of eigenvectors and eigenvalues, and their circuit interpretation; sinusoidal steady-state from the state-space point of view; introduction to observability and controllability from a circuit-theoretic point of view; internal and i/o stability, and their relationship.

Synthesis of one-ports: Positive-real functions; Synthesis of two-element circuits; Brune synthesis. 

Three-phase: Unbalanced mesh and four-wire star circuits; unbalanced three-wire star circuits; solution by Millman's theorem, star-delta transform and graphical methods; symmetrical components and use in solving unbalanced systems; positive, negative and zero sequence networks; use of two-wattmeter method on balanced and unbalanced systems for kW and kVAr measurement. Laboratory Coursework: 3-phase Star and Mesh circuit relationships Transmission line.

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture36
Tutorial12
Specialist Lab6

Assessment

Assessment methods

MethodHoursPercentage contribution
Laboratory-10%
In-class tests-10%
Exam2 hours80%

Referral Method: By examination

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