My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6307 Latifur Khan | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6307 Latifur Khan | |||||
Grades: 1,327
Median GPA: A-
Mean GPA: 3.619
3.4
Professor rating
2.8
Difficulty
25
Ratings given
77%
Would take again
Introduction to Big Data Management and Analytics for non CS-Majors
CS 6307
Erik Jonsson School of Engineering and Computer Science
Database fundamentals including Query Processing, Parallel/Distributed Data Processing, NoSQL systems (e.g., Key-value stores, Column-oriented data stores, MapReduce), Graph Processing, and Recommendation Systems using Big Data technologies. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Prerequisites: (CS 5303 or equivalent) and (CS 5343 or equivalent).
Offering Frequency: Each year
Grades: 224
Median GPA: A
Mean GPA: 3.863
Click a checkbox to add something to compare.
Grades: 1,327
Median GPA: A-
Mean GPA: 3.619
3.4
Professor rating
2.8
Difficulty
25
Ratings given
77%
Would take again
Introduction to Big Data Management and Analytics for non CS-Majors
CS 6307
Erik Jonsson School of Engineering and Computer Science
Database fundamentals including Query Processing, Parallel/Distributed Data Processing, NoSQL systems (e.g., Key-value stores, Column-oriented data stores, MapReduce), Graph Processing, and Recommendation Systems using Big Data technologies. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Prerequisites: (CS 5303 or equivalent) and (CS 5343 or equivalent).
Offering Frequency: Each year
Grades: 224
Median GPA: A
Mean GPA: 3.863
Click a checkbox to add something to compare.