Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

CSE 482  Big Data Analysis

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
CSE 331 and CSE 335 and STT 351
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major.
Description:
Data collection, storage, and preprocessing, and analysis techniques. Programming for large-scale data analysis. Case studies and applications.
Effective Dates:
SS17 - US19


CSE 482  Big Data Analysis

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(CSE 331) and (STT 351 or STT 380 or STT 430 or STT 441)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major.
Description:
Data collection, storage, and preprocessing, and analysis techniques. Programming for large-scale data analysis. Case studies and applications.
Effective Dates:
FS19 - US21


CSE 482  Big Data Analysis

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(CSE 331) and (STT 351 or STT 380 or STT 430 or STT 441) and MTH 314 and (MTH 234 or MTH 254H or LB 220)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Data Science Major.
Description:
Principles and techniques for large-scale data analysis and applications.
Effective Dates:
FS21 - US25


CSE 482  Big Data Analysis

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(CSE 331 and CSE 380) and (STT 351 or STT 380 or STT 430 or STT 441) and (MTH 314 or MTH 317H) and (MTH 234 or MTH 254H or LB 220)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Data Science Major.
Description:
Principles and techniques for large-scale data analysis and applications.
Effective Dates:
FS25 - Open