CURRENT TOPICS IN BUSINESS ANALYTICS AND ARTIFICIAL INTELLIGENCE

Name: CURRENT TOPICS IN BUSINESS ANALYTICS AND ARTIFICIAL INTELLIGENCE
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Rating: 4.9 (412 reviews)

GENBUS 840

과목 설명

Covers emerging and current topics in the industry through applied learning experiences - case studies, industry meetings, and exercises or workshops.

선수과목

Graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.88

-1.75% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

82.61%

-11.14% 과거 데이터 대비

학급 규모

11.65% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

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Focuses on various technologies needed to perform data analytics. Techniques of extracting structured and unstructured data from databases, applications, or social networks. Transform and combine data with other relevant information and load into targeted systems. How to use programming languages to collect data from the web and leverage libraries for other, more, advanced data analysis.

INTRODUCTION TO ARTIFICIAL INTELLIGENCE IN BUSINESS

GENBUS 107

Introduction to the foundational concepts and applications of Artificial Intelligence (AI) in today's business world. Covers what AI is, how it works, and its growing impact on various business contexts. Topics include predictive AI, deep learning, generative AI, leveraging AI tools, and responsible AI.

CONTEMPORARY TOPICS

GENBUS 365

A course for the exploration of subject areas possibly to be introduced into the business curriculum.

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GENBUS 891

An introduction to text mining and generation for business applications. Includes an overview of text data and approaches for making text data useful for descriptive and predictive analytics. Also, includes key applications of natural language processing, such as chatbots and recommender systems.

CONTEMPORARY TOPICS

GENBUS 765

Exploration of advanced subject areas possibly to be introduced into the business curriculum.