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.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
| Activity | Description | Hours |
|---|---|---|
| Lecture | Ten double lectures that introduce students to key topics, followed by a final revision lecture. | 21 |
| Tutorial | Space Cadets: An optional weekly session for students who need more challenging topics and materials | 10 |
| Tutorial | Space Monkeys: An optional weekly session for students new to programming who need additional support | 10 |
| Computer Lab | Ten two-hour labs that complement the lectures, and give students the chance to practice the topics and principles introduced that week | 20 |
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).
| Method | Hours | Percentage contribution |
|---|---|---|
| Coursework | - | 30% |
| Laboratory Work | - | 20% |
| Exam | 3 hours | 50% |
Referral Method: By examination
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.
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.
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
| Activity | Description | Hours |
|---|---|---|
| Lecture | 3 lectures per week | 24 |
| Tutorial | 1 problem class per week | 9 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Problem Classes | - | 20% |
| - | % | |
| Exam | 2.5 hours | 80% |
Referral Method: By examination
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.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
There will be 36 hours of lectures, 2 x 3-hour labs, and a number of tutorial sessions (schedule to be advised).
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 | |
| Specialist Lab | 6 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Design task, approx 500 words | - | 10% |
| 2 x 3-hour laboratory | - | 10% |
| In-class tests | - | 5% |
| Exam | 2 hours | 75% |
Referral Method: By examination
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.
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.
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.
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 | |
| Specialist Lab | 6 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Laboratory | - | 10% |
| In-class tests | - | 10% |
| Exam | 2 hours | 80% |
Referral Method: By examination
To explain the mathematical techniques needed to analyse linear and simple non-linear electrical and electronic circuits.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
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
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 10 | |
| Specialist Lab | 23.3 |
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.
| Method | Hours | Percentage contribution |
|---|---|---|
| Technical Labs | - | 10% |
| Design Exercise | - | 15% |
| Problem Sheets | - | 30% |
| In Class Test | - | 35% |
| Skills Labs | - | 10% |
Referral Method: By examination
The World Wide Web has changed the world. It has changed the ways we communicate, collaborate, and educate. We increasingly live in a Web-dependent society in a Web-dependent world. The Web is also the largest human information construct and it is growing faster than any other system. However, it is a striking fact that there is no systematic discipline to study the Web. We need to understand the current, evolving, and potential Web but at the moment we have no means of predicting the impact that future developments in the Web will have on society or business. Web Science aims to anticipate these impacts. It is the study of the social behaviours in the Web at the inter-person, inter-organizational and societal level, the technologies that enable and support this behaviour, and the interactions between these technologies and behaviours. It is therefore inherently interdisciplinary and at even the simplest level represents a fundamental collaboration between computer science and the social sciences.
This unit provides an introduction to Web Science, an overview of current research and an appreciation of the diverse set of disciplines that make up this multidisciplinary research area.
Intellectual Skills
Having successfully completed the module, you will be able to:
begin to synthesise a broadly based understanding of the Web as a socio-technical phenomenon;
describe the technical infrastructure and architecture of the Web, including hypertext, social and semantic Web;
understand the contribution of a range of social and technical approaches to the Web.
Subject Specific Skils
Having successfully completed the module, you will be able to:
describe the evolution and architecture of the Web.
write and present arguments about the Web and society;
appreciate and synthesise different disciplinary approaches to understanding the Web.
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.
| Activity | Description | Hours |
|---|---|---|
| Lecture | 24 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| 1500 Word Essay | - | 40% |
| Exam | 2 hours | 60% |
Referral Method: By examination
To embed an understanding of Object Oriented development and grow specific skills in using C++ in a variety of situations.
Having successfully completed the module, you will be able to:
A1. Appreciate basic HCI and its relevance to UI design.
A2. Describe the software lifecycle.
A3. Describe the principles of Object-Oriented programming, including the concepts of inheritance, abstraction and polymorphism.
A4. Describe the relationship between application, kernel and stand-alone code.
Having successfully completed the module, you will be able to:
B1. Analyse, enhance and debug existing OO programs.
B2. Design new OO programs.
B3. Effectively integrate reusable OO libraries.
Subject Specific Skills
Having successfully completed the module, you will be able to:
C1. Design, write and debug C++ using the Eclipse IDE.
C2. Implement effective application, kernel-level, and stand-alone C++.
C3. Make use of SystemC.
Employability/Transferable/Key Skills
Having successfully completed the module, you will be able to:
D1. Model software systems before implementation.
D2. Keep an effective record of the development and testing of your work.
D3. Manage your time in a collaborative project.
D4. Use appropriate techniques to work effectively within a team.
• 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
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 | |
| Specialist Lab | 30 |
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.
| Method | Hours | Percentage contribution |
|---|---|---|
| Technical Labs | - | 30% |
| Collaborative Project | - | 30% |
| Exam | 1.5 hours | 40% |
Referral Method: By examination
This module aims to:
Knowledge and Understanding
Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:
A1. Principles of mathematical proof and sound logical reasoning
A2. The interplay of syntax and semantics in mathematics, logic and computer science
A3. The language of set theory and common operations on sets, including infinite sets.
A4. Functions and relations as fundamental structures in computer science.
A5. Logical systems and the concept of formal proof.
A6. Basic counting techniques and their applications to common data structures.
A7. Elementary ideas of probability theory and statistics.
A8. Elementary concepts of linear algebra.
Intellectual Skills
Having successfully completed the module, you will be able to:
B1. Use the language of logic and set theory in order to make precise formal statements.
B2. Recognise, understand and construct rigorous mathematical proofs.
B3. Critically analyse and solve counting problems on finite, discrete structures.
B4. Apply operations on vectors and matrices and solve systems of linear equations.
B5. Calculate probabilities of events and recognise probability distributions
B6. Use statistical analysis, including sampling, hypothesis testing and regression
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Homework assignments | - | 25% |
| Exam | 2 hours | 75% |
Referral Method: By examination
Students will get an overview over a wide range of topics such as signal processing, transistor level circuit and analogue circuit techniques. State of the art computer aided design tools such as Spice and Matlab are being introduced and applied to real world problems.
Students will understand working methods necessary to ensure that they work with academic integrity and relevant policies and procedures adopted at Southampton University.
| Activity | Description | Hours |
|---|---|---|
| Lecture | 24 | |
| Computer Lab | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| An introduction to Matlab: signal processing (all students) | - | 25% |
| Circuit Techniques: Analysis of operational amplifier circuit using Orcad PSPICE. (only MSD, NANO, MEMS, SOC, BIO MSc students). | - | 25% |
| Signal processing: signal conversion and analysis (only COMMS, SSP MSc students) | - | 25% |
| Transistor Circuit Design Exercise (only MSD, NANO, MEMS, SOC, BIO MSc students) | - | 25% |
| Comms I: Analogue and Digital Modulation in Matlab (only COMMS, SSP MSc students) | - | 25% |
| Comms II: Baseband system simulation in Matlab (only COMMS, SSP MSc students) | - | 25% |
| LTSpice (only MSD, NANO, MEMS, SOC, BIO MSc students) | - | 25% |
Referral Method: By set coursework assignment(s)
| Method | Hours | Percentage contribution |
|---|
Referral Method: By examination