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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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TE 6385 Andras Farago | |||||
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TE 6385 Andras Farago | |||||
Grades: 1,317
Median GPA: A
Mean GPA: 3.778
3.4
Professor rating
2.4
Difficulty
23
Ratings given
69%
Would take again
Algorithmic Aspects of Telecommunication Networks
Erik Jonsson School of Engineering and Computer Science
This is an advanced course on topics related to the design, analysis, and development of telecommunications systems and networks. The focus is on the efficient algorithmic solutions for key problems in modern telecommunications networks, in centralized and distributed models. Topics include: main concepts in the design of distributed algorithms in synchronous and asynchronous models, analysis techniques for distributed algorithms, centralized and distributed solutions for handling design and optimization problems concerning network topology, architecture, routing, survivability, reliability, congestion, dimensioning and traffic management in modern telecommunication networks. 3 credit hours.
Prerequisites: CS 5343 and CS 5348 and (CS 3341 or ENGR 3341 or equivalent).
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Grades: 1,317
Median GPA: A
Mean GPA: 3.778
3.4
Professor rating
2.4
Difficulty
23
Ratings given
69%
Would take again
Algorithmic Aspects of Telecommunication Networks
Erik Jonsson School of Engineering and Computer Science
This is an advanced course on topics related to the design, analysis, and development of telecommunications systems and networks. The focus is on the efficient algorithmic solutions for key problems in modern telecommunications networks, in centralized and distributed models. Topics include: main concepts in the design of distributed algorithms in synchronous and asynchronous models, analysis techniques for distributed algorithms, centralized and distributed solutions for handling design and optimization problems concerning network topology, architecture, routing, survivability, reliability, congestion, dimensioning and traffic management in modern telecommunication networks. 3 credit hours.
Prerequisites: CS 5343 and CS 5348 and (CS 3341 or ENGR 3341 or equivalent).
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.