BSc Artificial Intelligence with Industrial Experience / Course details
Year of entry: 2021
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Course unit details:
|Unit level||Level 2|
|Teaching period(s)||Semester 2|
|Offered by||Department of Computer Science|
|Available as a free choice unit?||No|
The course unit assumes that students already have a solid understanding of the main principles of computing within a single machine, have a basic understanding of the issues related to machine communication and networking, and have a notion of what distributed computing is. The syllabus will contain topics covering the fundamentals of distributed computing, its application in modern systems and issues to be considered when designing distributed systems.
|Unit title||Unit code||Requirement type||Description|
To provide students with the awareness of the impact and benefits of distributed computing in their everyday interaction with modern computer technology, as well as knowledge of the fundamentals of distributed computing, and understanding of essential techniques and methods, to equip students with basic skills to further explore more advanced course units that require knowledge of distributed computing.
- Have acquired knowledge and understanding of the main principles, techniques and methods supporting the basic functionality of distributed systems.
- Have developed the ability to identify applications where distributed computing is used and its impact on society.
- Have acquired knowledge and understanding of main issues to be considered when designing a distributed system.
- Have developed the ability to understand how the main principles, techniques and methods supporting distributed computing are applied in practice in existing systems.
- Have developed the ability to design and implement prototypical distributed computing applications using available technologies.
Revision of the characteristics of distributed systems. Challenges. Architectural models.
Remote Invocation and Distributed Objects
Java RMI, CORBA, Web Services.
Synchronous vs asynchronous messaging. Point-to-point messaging. Publish-subscribe.
Concurrency, co-ordination and distributed transactions
Ordering of events. Two-phase commit protocol. Consensus.
Caching and Replication
Service-Oriented Architectures, REST and Web Services
Teaching and learning methods
22 in total, 2 per week
10 hours in total, 5 2-hour sessions
- Analytical skills
- Problem solving
|Practical skills assessment||100%|
COMP28112 reading list can be found on the Department of Computer Science website for current students.
|Scheduled activity hours|
|Assessment written exam||2|
|Practical classes & workshops||12|
|Independent study hours|
|Sandra Sampaio||Unit coordinator|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.