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Ecampus Schedule of Classes - All Terms

College of Business

BANA 574 – Neural Networks and Deep Learning for Business (3)

Applies an application-centric view to introduce the most up-to-date machine learning technologies in the business context. Investigates the concepts of advanced deep learning algorithms including recurrent neural networks, convolutional neural networks, graph neural network, deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks, along with their applications in business. Engages hands-on experience in applying advanced machine learning software over multimedia data to resolve current business challenges. 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
Sp27589394003Fan, S.Online Open303000
Registration Restrictions
Enforced Prereqs: BANA 571 [B-] and BANA 572* [B-] and BANA 573 [B-]
Campus Restrictions: +DSC (Dist. Degree Corvallis Student)
Class Notes: This course requires online proctored testing, which mayinclude testing fees and the use of security measures,such as a scan of your testing environment and the requiredinstallation of a desktop application. Please carefullyreview online proctored test information at:https://ecampus.oregonstate.edu/services/proctoring
Syllabus: Available in Canvas to students enrolled in this course.
Find textbooks for BANA 574 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.

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