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CSCD 429 — DATA MINING and DATA MINING LAB

CIM Verified
1
Objectives
10
Matches
0
Reviewed
12
Occupations
Your experience with this course
Top occupation matches for this course
40.0% Statisticians 7t
41.9% Mathematicians 6t
49.9% Bioinformatics Technicians 5t
31.6% Sales Engineers 3t
34.6% Tutors 3t

Learning Objectives & Matches

LO4 CIM

Gain a working knowledge of clustering methods

10 O*NET task matches
Batch:
Bioinformatics Technicians 3.9/5
50% ok

Develop or apply data mining and machine learning algorithms.

Biostatisticians 4.2/5
43% ok

Develop or implement data analysis algorithms.

Mathematicians 3.9/5
42% ok

Perform computations and apply methods of numerical analysis to data.

Mathematicians 3.2/5
40% ok

Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.

Statisticians 3.4/5
40% ok

Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.

Multiple Machine Tool Setters, 3.9/5
38% ok

Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics.

Mathematicians 4.2/5
37% ok

Mentor others on mathematical techniques.

Management Analysts 4.5/5
37% ok

Gather and organize information on problems or procedures.

Bioinformatics Scientists 3.7/5
37% ok

Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.

Neuropsychologists 4.2/5
37% ok

Participate in educational programs, in-service training, or workshops to remain current in methods and techniques.

Source: Course learning outcomes from EWU's official Course Inventory Management (CIM) system. O*NET task matches are computed by comparing each learning outcome statement against every O*NET task statement using sentence-embedding similarity; faculty review confirms which matches count as preparation evidence.