DATABASE SYSTEMS - 2021/2
Module code: COMM051
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
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A key aspect of business operations today, across sectors almost, has to do with gathering the right type of data and storing it in a way that it can be readily available to the right person at the right time. This course looks into the techniques that allow us nowadays to define and operate on large volumes of data as and when it is created. This paves the way for making more intelligent uses of data, whether this has to do with correctness (reliability and consistency) or informing more strategic decisions of the business so it can better prepare itself for the future.
MOSCHOYIANNIS Sotiris (Computer Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: I240
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
- Introduction to database systems:
- Data, databases
- The ANSI/SPARC Architecture
- Database Management Systems
- Database Users
- Relational Database Design – data definition
- The Relational Model of data
- Database schema and Database instance
- Entity Relationship (ER) Modelling
- Designing relations from ER Models
- Normalisation of a database schema - functional dependency, Normal Forms
- Relational Database Design – data manipulation
- Relational Algebra
- Relational operations
- Relational manipulations
- Cartesian Product
- Set difference
- Implementation – defining and querying data
- SQL tables
- DDL: implementing a database schema using SQL
- Relational algebra operations in SQL
- DML: implementing data manipulations using SQL
- Defining and running transactions using SQL
- Concurrency control
- Transactions - ACID properties
- Recovery (Shadow paging, Rollback)
- Concurrency anomalies (lost update, dirty data, inconsistent analysis)
- Serialisation and scheduling
- Locking schemes – S/X Lock, 2PL
- Distributed Databases
- Centralised vs Truly distributed database systems
- Data fragmentation
- Data replication
- Data allocation
- Business Intelligence – an introduction
- Decision making support
- Denormalisation – Star and Snowflake database schema
- Measures, Cubes
|Assessment type||Unit of assessment||Weighting|
|Examination||2 HOUR EXAM||50|
Individual coursework instead of the group coursework.
The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module learning outcomes.
Thus, the summative assessment for this module consists of:
Group coursework or individual coursework as an alternative form of assessment with a set of theoretical and practical tasks.
This addresses LO1, LO2 and LO3.
An exam with a set of questions that students are required to answer.
This addresses LO1, LO4 and LO5.
Formative assessment and feedback
Lecture slides are used extensively in the lectures with each lecture consisting of a number of slides explaining the theory together with exercises and sample solutions. Possible solutions to lab exercises are discussed witrh each student during the lab session and sample solutions are released the week after on SurreyLearn.
- The main aim of this module is to equip students with the principles and skillset necessary to take an informal textual specification of the requirements of a business and design and develop a database system that fufills those business operational needs. In addition, the module looks at three more advanced areas that build on relational databases, namely transactions and recovery, distributed databases, and business intelligence.
|1||Model and structure data of a business so it can be stored in a database||KC|
|2||Design, optimise and implement a database system, given a set of business requirements found in a textual requirements specification document||KCP|
|3||Develop and apply transaction processing techniques for ensuring consistency of the database in the face of concurrent operations on data||CPT|
|4||Appreciate key concepts of distributed database sytems and critically evaluate different distributed architectures||KCT|
|5||Understand business intelligence solutions and the subtle differences between designing database systems that support transactions and designing databases to support BI solutions.|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Lecture Hours: 24
Laboratory Hours: 20
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- Provide students with the key principles and concepts that underline the successful design and implementation of database systems today. The lectures are designed in a way that encourages students to interact with the material and develop a critical evaluation of the various options as well as an analytical thinking of ‘what’, ‘when’ and ‘how’ in database systems. This helps the students develop problem solving skills when it comes to designing and implementing a database system in response to specific requirements.
A number of other modules in the programme, including the MSc Dissertation will most likely require that the student can define and handle (modify, query) data.
- Enable students to apply relevant technologies and tools for the development of database systems, transactions and distributed database designs.
The learning and teaching methods include:
- Lectures (10 weeks, 2h each week) using detailed lecture slides and hand-on exxercises to enahnve student engagement and gauge student understanding
- Labs (7-8 weeks, 2h each week) using database system sheets and computing labs
Students will be expected to distribute the remaining workload on self-study, preparation for lectures and labs, preparation and submission of the group coursework, preparation for the exam.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for DATABASE SYSTEMS : http://aspire.surrey.ac.uk/modules/comm051
Programmes this module appears in
|Information and Process Systems Engineering MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.