DCSN 216 — 1 AUB past paper

Introduces applied data mining techniques including data processing and a set of data analytics tools related to predictive modeling such as classification and regression trees, logistic regression, artificial neural networks and other techniques. Students will learn how to use these tools to provide practical solutions to problems faced by businesses today. They will gain knowledge in how to improve decision-making by adopting a data analytics approach. The course is designed for advanced undergraduate students and features the use of data mining software. Case studies and practical examples will be extensively presented throughout the course.

Common questions about DCSN 216

What is DCSN 216 at AUB?

DCSN 216 Business Analytics Using Data Mining is a 3-credit course at American University of Beirut (AUB), in the Suliman S. Olayan School of Business. Introduces applied data mining techniques including data processing and a set of data analytics tools related to predictive modeling such as classification and regression trees, logistic regression, artificial neural networks and other techniques.

How many credits is DCSN 216?

DCSN 216 Business Analytics Using Data Mining is worth 3 credits at AUB.

Who teaches DCSN 216 at AUB?

Studiety has 1 professor on record for DCSN 216: Imad Bou-Hamad. Sections change every term, so check the registrar for who is teaching now.

What are the prerequisites for DCSN 216?

DCSN 216 lists 1 prerequisite: BUSS 200 Business Statistics.

Are there past papers for DCSN 216?

Yes — 1 file for DCSN 216 have been shared by AUB students on Studiety, including exams, quizzes, syllabi and notes. They are free to download with a student account.

DCSN 216Business Analytics Using Data Mining