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5.0
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5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6385 Andras Farago | |||||
A | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
CS 6385 Andras Farago | |||||
A | |||||
Grades: 1,438
Median GPA: A
Mean GPA: 3.767
3.4
Professor rating
2.4
Difficulty
23
Ratings given
69%
Would take again
Algorithmic Aspects of Telecommunication Networks
CS 6385
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
Grades: 855
Median GPA: A
Mean GPA: 3.811
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Grades: 1,438
Median GPA: A
Mean GPA: 3.767
3.4
Professor rating
2.4
Difficulty
23
Ratings given
69%
Would take again
Algorithmic Aspects of Telecommunication Networks
CS 6385
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
Grades: 855
Median GPA: A
Mean GPA: 3.811
Click a checkbox to add something to compare.