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Course Catalog 2013-2014
ELT-53006 Networking Laboratory II, 3-5 cr |
Additional information
The students attend laboratories in TC-229 lab, each lab requires a preparation report and is a measured event. The labs take 4-hour slots, so be aware of collisions with other courses. The labs are completed in groups of 3 to 4 students.
This course is intended to be taken in parallel with ELT-53106 Computer Networking II
Suitable for postgraduate studies
Person responsible
Dmitri Moltchanov, Vitaly Petrov, Alexander Pyattaev, Evgeny Kucheryavy
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
In each task, a student has to make an acceptable pre-report, a measurement part in the laboratory and a final report (which is graded pass-fail). The course has 5 laboratory sessions. A minimum of 3 must be completed.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
Each lab contains a preparation guide that students follow independently or as a group to make a prelab report. The completed prelab report gives the right to attend the lab, where the students build the network and take measurements. Final lab report for each lab is graded pass-fail by the assistant.
Learning Outcomes
By carrying out practical assignments, the student gains skills that help him/her apply the theoretical knowledge of computer networking into the problems that arise in the real world. Additionally, course gives experience in group work on computer networking. The course is complementary to ELT-53106 Computer Networking II.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | The goal of the VPN assignment is to provide basic operation of the IPSEC: the exchange of keys and encryption of the transmission. | Network security | IPsec |
2. | The goal of the BGP-task is to provide a deeper idea how exterior gateway protocols work in practice. The material contains the usage of BGP for controlling the incoming traffic in multi-operator environment. During the task, a network composed of five routers and four operators, is being configured and different traffic-controlling tests are being applied. | BGP | |
3. | Use-cases and configuration of MPLS domain in a lab environment are practiced. | ||
4. | Quality of service assurance, DiffServ support and queuing disciplines are studied. RED algorithm is dimensioned and configured in routers. | Statistics, basics of queuing theory | |
5. | Cloud and distributed storage topics are considered - networked file systems, redundancy and fault-tolerant storage. | Software systems, file systems. | RPC, Kerberos |
Instructions for students on how to achieve the learning outcomes
The assessments of laboratory courses are based on achieving the goals of the assignments in the laboratory, and on the quality of reports. Each completed lab you complete gives 1 CP, and the grade is (number of completed reports)/(number of completed labs) * 5, rounded up.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Prerequisites
Course | Mandatory/Advisable | Description |
ELT-51006 Networking Laboratory I | Mandatory | 1 |
ELT-51106 Computer Networking I | Mandatory | 1 |
ELT-53106 Computer Networking II | Advisable | 1 |
1 . Or equivalent knowledge from other studies.
Additional information about prerequisites
ELT-53106 Computer Networking II is highly recommended in parallel with this course, as the lectures provide the necessary material for the labs.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
Course | Corresponds course | Description |
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More precise information per implementation
Implementation | Description | Methods of instruction | Implementation |
Communication networks laboratory course, complementary to the ELT-53106 Computer Networking II course. Gives practical knowledge about technologies considered on the lectures. | Seminar work Laboratory assignments |
Contact teaching: 70 % Distance learning: 10 % Self-directed learning: 20 % |