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| 1.
| [Distributed and Parallel Computing Concepts]
Students are able to apply distributed and parallel computing concepts, to make correct conceptual choices, and to design software architectures for solving real-world problems.
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| 2.
| [Distributed Fault-tolerant Architectures]
Students are able to design and implement distributed software architectures that are efficient and fault-tolerant, and to deploy them on modern clouds.
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| 3.
| [Parallel Computing Architectures]
Students are able to design and implement parallel software architectures to process the drastically increasing amount of data in an efficient, scalable, and fault-tolerant manner.
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Mapping from Course Learning Outcomes to Programme Learning Outcomes
| | PLO a | PLO b | PLO c | PLO d | PLO e | PLO f | PLO g | PLO h | PLO i | PLO j |
| CLO 1 | T,P | T,P | T,P | | | | | | | |
| CLO 2 | | | T,P | T,P | | | T,P | | | T,P |
| CLO 3 | | | T,P | T,P | | | T,P | | | T,P |
T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to
here.
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| Syllabus |
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Calendar Entry:
This course introduces the basic concepts and modern software architectures on distributed and parallel computing. Topics include: computer network primitives, distributed transactions and two-phase commits, webservices, parallelism and scalability models, distributed consistency models, distributed fault-tolerance, actor and monads, Facebook photo cache, Amazon key-value stores, Google Map-reduce, Spark, and TensorFlow.
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Detailed Description:
| Distributed and Parallel Computing Concepts |
Mapped to CLOs
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| Computer network primitives (remote procedure calls and message queues) | 1 |
| Distributed transactions, ACID, and two-phase commits | 1 |
| Amdahl’s laws, strong and weak consistency models | 1 |
| Actors and monads | 1 |
| Distributed Fault-tolerant Architectures |
Mapped to CLOs
|
| Distributed consensus algorithms and architectures | 2 |
| Distributed virtual machine primary-backup algorithms and architectures | 2 |
| Amazon EC2 clouds and DynamoDB stores | 2 |
| Webservices | 2 |
| Parallel Computing Architectures |
Mapped to CLOs
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| Facebook photo cache | 3 |
| Map-reduce paradigm and Hadoop | 3 |
| Spark | 3 |
| TensorFlow | 3 |
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Assessment:
Continuous Assessment:
50%
Written Examination:
50%
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| Teaching Plan |
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Please refer to the corresponding Moodle course.
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| Moodle Course(s) |
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