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Arts, Sciences, and Engineering |
Computer Science |
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Course Section Listing |
Course |
Course Title |
Term |
Credits |
Status |
|
COURSE_SECTION-3-166635 |
CSC 240-1 |
Data Mining |
Spring 2024 |
4.0 |
Open |
|
Schedule: |
|
Day |
Begin |
End |
Location |
Start Date |
End Date |
|
TR
|
450 PM
|
605 PM
|
Dewey Room 1101
|
01/17/2024
|
05/11/2024
|
|
|
Enrollment: |
Enrolled
106
|
Capacity
110
|
|
|
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Co-Located: |
CSC 240-1 (P), CSC 440-1, DSCC 240-1, DSCC 440-1, TCS 440-1 |
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Instructors: |
Thaddeus Pawlicki |
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Delivery Mode: |
In-Person |
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Restrictions: |
Instructor permission is required for this course. Use the “Request Course Section Prerequisite Override” task found on your academics dashboard under the Planning & Registration section to request this permission. |
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Description: |
Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. CSC 440, a graduate-level course, requires additional readings and a course project. Prerequisites will be strictly enforced: CSC171, CSC 172 and MATH 161. Recommended: CSC 242 or CSC262; MATH165. |
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Offered: |
Fall Spring Summer |
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|
|
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Course Section Listing |
Course |
Course Title |
Term |
Credits |
Status |
|
COURSE_SECTION-3-142303 |
CSC 240-1 |
Data Mining |
Spring 2023 |
4.0 |
Open |
|
Schedule: |
|
Day |
Begin |
End |
Location |
Start Date |
End Date |
|
TR
|
450 PM
|
605 PM
|
Dewey Room 1101
|
01/11/2023
|
05/06/2023
|
|
|
Enrollment: |
Enrolled
92
|
Capacity
95
|
|
|
|
Co-Located: |
CSC 240-1 (P), CSC 440-1, DSCC 240-1, DSCC 440-1, TCS 440-1 |
|
Instructors: |
Thaddeus Pawlicki |
|
Delivery Mode: |
In-Person |
|
Description: |
Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. CSC 440, a graduate-level course, requires additional readings and a course project. Prerequisites will be strictly enforced: CSC171, CSC 172 and MTH 161. Recommended: CSC 242 or CSC262; MTH165. |
|
Offered: |
Fall Spring Summer |
|
|
|
|
Course Section Listing |
Course |
Course Title |
Term |
Credits |
Status |
|
COURSE_SECTION-3-178604 |
CSC 240-1 |
Data Mining |
Fall 2024 |
4.0 |
Open |
|
Schedule: |
|
Day |
Begin |
End |
Location |
Start Date |
End Date |
|
TR
|
325 PM
|
440 PM
|
Gavett Hall Room 206
|
08/26/2024
|
12/18/2024
|
|
|
Enrollment: |
Enrolled
60
|
Capacity
75
|
|
|
|
Co-Located: |
CSC 240-1 (P), DSCC 240-1 |
|
Instructors: |
Cantay Caliskan |
|
Delivery Mode: |
In-Person |
|
Description: |
Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. Prerequisites will be strictly enforced: CSC171, CSC 172 and MATH 161. Recommended: CSC 242 or CSC262; MATH165. Open to CSC and DSCC majors during registration week. |
|
Offered: |
Fall Spring Summer |
|
|
|
|
Course Section Listing |
Course |
Course Title |
Term |
Credits |
Status |
|
COURSE_SECTION-3-156478 |
CSC 240-1 |
Data Mining |
Fall 2023 |
4.0 |
Open |
|
Schedule: |
|
Day |
Begin |
End |
Location |
Start Date |
End Date |
|
TR
|
325 PM
|
440 PM
|
Gavett Hall Room 206
|
08/30/2023
|
12/22/2023
|
|
|
Enrollment: |
Enrolled
74
|
Capacity
75
|
|
|
|
Co-Located: |
CSC 240-1 (P), DSCC 240-1 |
|
Instructors: |
Cantay Caliskan |
|
Delivery Mode: |
In-Person |
|
Description: |
Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. Prerequisites will be strictly enforced: CSC171, CSC 172 and MATH 161. Recommended: CSC 242 or CSC262; MATH165. Open to CSC and DSCC majors during registration week. |
|
Offered: |
Fall Spring Summer |
|
|
|
|
Course Section Listing |
Course |
Course Title |
Term |
Credits |
Status |
|
COURSE_SECTION-3-131996 |
CSC 240-1 |
Data Mining |
Fall 2022 |
4.0 - 0.0 |
Open |
|
Schedule: |
|
Day |
Begin |
End |
Location |
Start Date |
End Date |
|
TR
|
325 PM
|
440 PM
|
Gavett Hall Room 206
|
08/31/2022
|
12/22/2022
|
|
|
Enrollment: |
Enrolled
48
|
Capacity
75
|
|
|
|
Co-Located: |
CSC 240-1 (P), DSCC 240-1 |
|
Instructors: |
Cantay Caliskan |
|
Description: |
Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. Prerequisites will be strictly enforced: CSC171, CSC 172 and MTH 161. Recommended: CSC 242 or CSC262; MTH165. |
|
Offered: |
Fall Spring Summer |