NDAK15006U CHANGED: Advanced Computer Systems (ACS)
MSc Programme in Computer Science
The overall purpose of this course is to offer students an
understanding of techniques in computer systems with a focus on
correctness and adherence to system properties, such as modularity
and atomicity, while at the same time achieving high performance.
The course exposes students to various system mechanisms,
especially from distributed systems, database systems, and network
systems.
The course will explore the following aspects:
- System abstractions and design principles
- Modularity with clients and services
- Performance
- Atomicity and transactions
- Concurrency control and recovery
- Reliability, fault-tolerance, and redundancy
- Distributed protocols for replication
- Large-scale data processing
Knowledge
- Describe the design of transactional and distributed systems, including techniques for modularity, performance, and fault tolerance.
- Explain how to employ strong modularity through a client-service abstraction as a paradigm to structure computer systems, while hiding complexity of implementation from clients.
- Explain techniques for large-scale data processing.
Skills
- Implement systems that include mechanisms for modularity, atomicity, and fault tolerance.
- Structure and conduct experiments to evaluate a system's performance.
Competences
- Discuss design alternatives for a modular computer system, identifying desired system properties as well as describing mechanisms for improving performance while arguing for their correctness.
- Analyze protocols for concurrency control and recovery, as well as for distribution and replication.
- Apply principles of large-scale data processing to analyze concrete information-processing problems.
See Absalon when the course is set up.
Working knowledge of Java, including concurrency and communication mechanisms.
Notions of UNIX / shell scripting are helpful, but not required.
- Category
- Hours
- Exam
- 24
- Lectures
- 42
- Project work
- 90
- Theory exercises
- 50
- Total
- 206
Written feedback is provided as comments to assignment solutions
in Absalon.
Continuous feedback is provided during exercise classes, where a
time window of each class is allocated for Q&A with teaching
assistants.
As
a exchange, guest and credit student - click here!
Continuing Education - click here!
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 4 hours under invigilationCHANGED in 2018/2019
- Exam registration requirements
4-6 take home assignments, marked as pass / fail, must be passed to participate in the final exam.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
If a student is not qualified then qualification can be achieved by approval of equivalent assignments with hand-in no later than 2 weeks before the re-exam.
If 10 or fewer students are registered, then the re-exam may be held as an oral examination of 25 minutes without preparation. Otherwise, the re-exam will take the same format of the ordinary exam of a written exam of 4 hours under invigilation.
Criteria for exam assesment
See Learning Outcome.
Course information
- Language
- English
- Course code
- NDAK15006U
- Credit
- 7,5 ECTS
- Level
- Full Degree MasterBachelor
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- A
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Contracting faculty
- Faculty of Science
Course Coordinators
- Marcos Antonio Vaz Salles (7-7f766a7b6c787c496d7237747e376d74)