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College of Business

BANA 572 – Machine Learning and Text Mining for Business (3)

Examines how machine learning (ML) and natural language processing (NLP) technologies can be used to improve decision-making. Covers the fundamental principles and techniques of ML, NLP, and uses real-world examples and cases to place ML and NLP techniques in context. Provides hands-on experience with ML and NLP software. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.

For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.

Continue to Registration.

TermCRNSecCrP/NInstructorTypeStatusCapAvailWL CapWL Avail
202603564994003Kaskela, T.0TBD404000
Registration Restrictions
Enforced Prereqs: (BA 574 [B-] or BANA 570 [B-] ) and (BA 575 [B-] or BANA 571 [B-] )
Major Restrictions: +2047, +2059, +CG14 (Marketing Insights and Analytics, Business Analytics, Business Analytics)
Campus Restrictions: +DSC, +PDX (Dist. Degree Corvallis Student, Oregon State - Portland)
Class Notes: This course requires online proctored testing, which mayinclude testing fees and the use of security measures, suchas a scan of your testing environment. Please carefullyreview online proctor test information at:https://ecampus.oregonstate.edu/services/proctoring .
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.)
Find textbooks for BANA 572 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

Legend
= Signifies the course as a Baccalaureate Core Course.
= Signifies that fees may apply to the course.
+ = Include restriction.
- = Exclude restriction.
* = Prereq may be taken prior to or simultaneously with this course.