This module aims to introduce the mathematical foundations for machine learning and a set of representative approaches to address data-driven problem solving in computer science and artificial intelligence.
This module will be taught together with COMP3206: Machine Learning. This module will have higher requirements on the desired learning outcomes which will be assessed by a different set of coursework.
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:
| Activity | Description | Hours |
|---|---|---|
| Lecture | Lectures using whiteboard and slides | 20 |
| Computer Lab | Timetables computer labs during weeks 8 and 9 | 6 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Assignment on implementing machine learning algorithms | - | 20% |
| - | % | |
| Exam | 2 hours | 80% |
Referral Method: By examination
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|
Referral Method: By examination
[NB This modules is called Interdisciplinary Studies. Please correct.]
This module is offered in the context of a multi-disciplinary programme that requires students to both demonstrate appropriate appreciation of disciplines which are foreign to them (including an understanding of current research and research methods, an awareness of the current limits of knowledge in that discipline) and an appreciation of the possibilities of multi- and inter-disciplinary research opportunities.
No specific pre-requisites.
This module addresses a large number of problems in web science, chosen by the students as individuals or in groups. Previous issues have included the following:
| Activity | Description | Hours |
|---|---|---|
| Lecture | One lecture per week | 10 |
| Tutorial | Student-led study groups, once per week | 10 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Poster pitch: students make short presentations to their peers presenting an overview of the interdisciplinary analysis of their chosen Web Science. A version of their poster will be printed and on display | - | 0% |
| Poster: Interdisciplinary Coursework #1 Students have the opportunity to revise the poster they presented earlier in the week, if they choose. | - | 10% |
| Peer review of draft individual reports (in pairs) | - | 0% |
| Multidisciplinary Investigation Based on Private Reading, Individual Interdisciplinary Coursework #2 | - | 90% |
Referral Method: By set coursework assignment(s)
To give students an understanding of the role of database systems in information management, the theoretical and practical issues that influence the design, implementation and applications of database management systems and languages.
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:
| Activity | Description | Hours |
|---|---|---|
| Lecture | Each week you will have 3 one hour lecturers, you will need to prepare for these. Where appropriate for the activity Slide will be up in advance and direct reading will be provided. | 33 |
| Computer Lab | A computer laboratories for 4 weeks to practice your skills. Attendance is expected as this is your opportunity to get help and feedback on the practical aspects of the course, which you will need in order to complete the coursework. | 12 |
The initial coursework will be on line from week one. However a hand-in of the database design is required in week 3. Formative feedback and in class discussion of an appropriate design will be given in week 4. This will then be used to answer the remaining part of the assignment. None engagement in the excise will limit your understanding of the problem to be addressed.
| Method | Hours | Percentage contribution |
|---|---|---|
| Database design and implement | - | 20% |
| Exam | 2 hours | 80% |
Referral Method: By examination
This is a core module for computer science and software engineers. It teaches the basic data structures and algorithms which underpins modern software engineering. Without these algorithms most software would be hopelessly slow to the point of unusability. The course also teaches the principles behind the algorithms and data structures and the software engineering lessons which data structures and algorithms teach us.
Knowledge and Understanding
Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:
A1. Knowledge of common data structures and algorithms
A2. Understanding of time complexity
A3. Understanding of how to code data structures using object oriented methods
Intellectual Skills
Having successfully completed the module, you will be able to:
B1. Choose the most appropriate data structure for a particular problem
B2. Understand the operation of a number of important computer algorithms using those structures
B3. Understand how to evaluate an algorithm for efficiency
B4. Choose an appropriate algorithmic strategy to solve a problem
Subject Specific Skills
Having successfully completed the module, you will be able to:
C1. Have a greater confidence to write programs in Java
C2. Be able to code a simple data structure
C3. Be able to use data structures to build complex algorithms
Employability/Transferable/Key Skills
Having successfully completed the module, you will be able to:
D1. Be able to solve problems algorithmically
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Assessed Tutorials | - | 15% |
| Exam | 2 hours | 85% |
Referral Method: By examination
The aim of this module is to teach the students advanced programming techniques using Java in order to support its use on other modules. C will also be taught in order to introduce explicit memory allocation and the use of pointers.
Intellectual Skills
Having successfully completed the module, you will be able to:
B1. Construct Java applications with Graphical User Interfaces in Swing and AWT
B2. Construct multi-threaded Java applications
B3. Use persistent storage for Java applications
B4. Use pointers to manipulate dynamically allocated storage in C
B5. Perform testing on Java programs using JUnit
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Computer Lab | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Coursework Assignment | - | 75% |
| Laboratory Exercises | - | 25% |
Referral Method: By set coursework assignment(s)
This modules aims:
Knowledge and Understanding
Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:
A1. Structured requirements analysis methods
A2. Structured design methods and design patterns
A3. The role of formal methods and their relevance to software engineering
A4. The role of model refinement in Event-B
A5. The role of verification in formal development
A6. The relationship between specifications and implementations
Intellectual Skills
Having successfully completed the module, you will be able to:
B1. Derive software requirements in a systematic way
B2. Applying structured design methods to software development
B3. Construct a formal specification from a set of English language requirements
B4. Apply refinement to Event-B models
B5. Apply verification techniques to Event-B models
Subject Specific Skills
C1. Document and typeset a specification using a standard word processor
C2. Use a UML drawing tool
C3. Analyse an Event-B specification using Rodin
| Activity | Description | Hours |
|---|---|---|
| Lecture | ||
| Tutorial |
| Method | Hours | Percentage contribution |
|---|---|---|
| Coursework | - | 25% |
| Exam | 2 hours | 75% |
Referral Method: By examination
This course aims to introduce students to the fundamental commercial issues inherent in IT projects and their contexts, with focus upon smaller rather than larger operations. The target audience will be taken to be an early-career IT team leader, manager, or entrepreneur.
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
|
Topic |
|
The viable systems model; general systems theory; stakeholders; external (uncontrollable) factors. |
|
Introduction to the structure and functions of an IT business; value-added reseller, retailer, services / software house, facilities management, consultancy. Special case of a research group. |
|
The cost and reward structure of an IT business; shareholders & classes of shareholder; contribution / value added, operating profit, profit before tax, declared profit; dividends. |
|
Buying, starting-up, and selling IT businesses; loans, venture capital; exit planning; financing, leverage; capitalisation of intellectual property; valuing the business; board control, the special case of the 40:40:20 triangle. |
|
Selling shares in the business, flotation, unlisted securities market (USM). |
|
The cost structure of an IT project: Distinguishing between pay and cost; direct overheads and allocated overheads; costs of being in business and of staying in business; buy or lease; out-source or in-house. |
|
Project budgeting; estimating, providing quotations, offers, and estimates; contracts and bidding: time & materials, firm fixed price, cost plus; penalty clauses; negotiating, re-negotiating, and walking away. |
|
Managing project budgets; effects of schedule slippage and budget over-run; staying in business; cash flows, discounted cash flow, NPV, IRR, break-even. |
|
IPR; licences and licensing; confidentiality, non-disclosure. |
|
Risk management and risk analysis; probability, severity, exposure, amelioration, insurance; bankruptcy. |
|
Cost-benefit analysis; customer value, stakeholder value, shareholder value; link to cash flow; cost savings, productivity, quality enhancement (faster, quicker, better); |
|
Managing knowledge workers; management, leadership, and entrepreneurship; incentives; selected theories of management & leadership. |
|
Working in the IT industry: retainer, freelance / self-employed, contracted, consultant, employee; legal and commercial issues including tax, IPR, confidentiality; career planning; changing jobs, changing employers, changing roles. |
|
Power, influence, politics, culture; what matters; who and what you want to be; positioning for success |
| Method | Hours | Percentage contribution |
|---|---|---|
| Assignment 1 requires you to submit a project proposal in response to a hypothetical call for tender, working with a colleague. | - | 40% |
| Assignment 2 requires you to submit an IT “start-up” business plan, working with a colleague. | - | 30% |
| In-class test: assessment is a supervised unseen restricted time open-book open-Internet individual in-class exercise, undertaken in class time in week 12, comprising 20 multiple-choice questions. | - | 30% |
Referral Method: By set coursework assignment(s)
This module aims to introduce students to the software engineering process, its tools, skills, and techniques, particularly modelling, validation, design and its mapping to code. The focus will be on a principled, object-oriented process from requirements modelling and analysis through code, with rolling case study and coursework examples developing the knowledge and skills.
Knowledge and Understanding
Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:
A1. The software development process
A2. Requirements elicitation and structuring
A3. Requirements modelling in UML and set-theoretic notations, and their validation
A4. The use of UML design notations
A5. The relationship between models and implementations
A6. Concepts of software architecture, design patterns and their applicability
A7. Characteristics of appropriate APIs, Tools, IDEs
Intellectual Skills
Having successfully completed the module, you will be able to:
B1. Specify, analyse and organise requirements for a software product
B2. Model, analyse and validate such software requirements using UML and set-theoretic notations
B3. Apply appropriate UML design patterns and notations to the design of components of a product
B4. Select and use appropriate APIs, Tools, IDEs in mapping these designs to code
Subject Specific Skills
Having successfully completed the module, you will be able to:
C1. Apply an appropriate software engineering process and tools to the task of structuring, modelling and validating requirements for a software product
C2. Apply appropriate software engineering techniques and tools to the task of designing, testing and implementing code from a suitable requirements model
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Exam | - | 70% |
| Small group requirements modelling/ analysis coursework | - | 15% |
| Small group design-to-code coursework | - | 15% |
Referral Method: By examination
These can be summarised briefly as:
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Group Technical Contribution | - | 50% |
| Group Presentations and Report | - | 25% |
| Individual Contributions (Reflection -5%, Technical and presentation-20%) | - | 25% |
Referral Method: By set coursework assignment(s)