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SYSE 3355 Eric Meyers | |||||
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SYSE 3355 Eric Meyers | |||||
Data Science for Engineers
SYSE 3355
Erik Jonsson School of Engineering and Computer Science
Fundamental topics of data science, including principles of data processing and representation, modeling and algorithms, and evaluation mechanisms; use of real-world engineering problems and data to illustrate and demonstrate the advantages and disadvantages of different algorithms and compare their effectiveness and efficiency. 3 credit hours.
Prerequisites: ENGR 2300 and ENGR 3341.
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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Data Science for Engineers
SYSE 3355
Erik Jonsson School of Engineering and Computer Science
Fundamental topics of data science, including principles of data processing and representation, modeling and algorithms, and evaluation mechanisms; use of real-world engineering problems and data to illustrate and demonstrate the advantages and disadvantages of different algorithms and compare their effectiveness and efficiency. 3 credit hours.
Prerequisites: ENGR 2300 and ENGR 3341.
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.
