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Business intelligence course syllabus pdf

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11/30/2020 ITS 531 B10 Business Intelligence - Simple Syllabus

https://uofcumberlands.simplesyllabus.com/en-US/doc?term_id=bf97a663-8e64-42ac-a45d-1ce178c92511&family_name=syllabus&entity_id=b24675… 1/12

Fall 2020 Second Bi-Term · ITS 531 B10 ·  Print · Last updated Nov 6, 2020 · Follow

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School of Computer and Information Sciences COURSE SYLLABUS

Course Information ITS531 - B10 Business Intelligence Fall 2020 Second Bi-Term Course Format: Online CRN: 11900

Instructor Information

Name: Michael Jones Email: michael.jones@ucumberlands.edu Phone: (229)798-3363 (If no answer, be sure to send questions to my email address) Office Location: Georgia Office Hours/Preferred Contact Times: Office Hours: By appointment

Course Description This course covers theories and applications of business analytics. The focus is on extracting business intelligence from firms' business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product assortment. The emphasis is placed on the 'know-how' -- knowing how to extract and apply business analytics to improve business decision-making.

https://uofcumberlands.simplesyllabus.com/api2/doc-pdf/y1djunl34/Fall-2020-Second-Bi-Term-ITS-531-B10-Business-Intelligence.pdf?locale=en-US
https://uofcumberlands.simplesyllabus.com/en-US/my-courses
11/30/2020 ITS 531 B10 Business Intelligence - Simple Syllabus

https://uofcumberlands.simplesyllabus.com/en-US/doc?term_id=bf97a663-8e64-42ac-a45d-1ce178c92511&family_name=syllabus&entity_id=b24675… 2/12

Course Objectives Upon completion of this course:

Perform business reporting and visual analytics

Understand management support system technologies

Understand foundations and technologies for decision making

Understand techniques for predictive modeling

Understand emerging trends and future impacts

Learner Outcomes

Understand the main components of collaborative systems, robotics, and AI support systems.

Compare and contrast predictive analytics with prescriptive and descriptive analytics.

Understand the key concepts in statistical modeling, visualization, and data mining.

Analyze the key concepts in text mining, sentiment analysis, big data, and cloud computing,

Analyze the components of knowledge systems, the Internet of Things, and Intelligent Applications.

Course Website Access to the course website is required via the iLearn portal on the University of the Cumberlands website: http://www.ucumberlands.edu/ilearn/ or https://ucumberlands.blackboard.com/

Required Books and Resources

http://www.ucumberlands.edu/ilearn/
https://ucumberlands.blackboard.com/
11/30/2020 ITS 531 B10 Business Intelligence - Simple Syllabus

https://uofcumberlands.simplesyllabus.com/en-US/doc?term_id=bf97a663-8e64-42ac-a45d-1ce178c92511&family_name=syllabus&entity_id=b24675… 3/12

Title: Business Intelligence and Analytics ISBN: 9780135192016 Authors: Ramesh Sharda, Dursun Delen, Efraim Turban Publisher: Pearson Publication Date: 2019-01-04 Edition: 11th ED.

Course Required text can be found and purchased via the UC Barnes and Noble Bookstore: https://cumber.bncollege.com/shop/cumberlands/page/find-textbooks

Suggested Books and Resources

Machine Learning with Python for Everyone ISBN: 9780134845647 Authors: Mark Fenner Publisher: Addison-Wesley Professional Publication Date: 2019-07-30

Analytics, Data Science, and Artificial Intelligence ISBN: 9781292341552 Authors: RAMESH. DELEN SHARDA (DURSUN. TURBAN, EFRAIM.), Dursun Delen, Efraim Turban Publication Date: 2020-05-22

Requirements and Policies Academic Integrity/Plagiarism

At a Christian liberal arts university committed to the pursuit of truth and understanding, any act of academic dishonesty is especially distressing and cannot be tolerated. In general, academic dishonesty involves the abuse and

https://cumber.bncollege.com/shop/cumberlands/page/find-textbooks
11/30/2020 ITS 531 B10 Business Intelligence - Simple Syllabus

https://uofcumberlands.simplesyllabus.com/en-US/doc?term_id=bf97a663-8e64-42ac-a45d-1ce178c92511&family_name=syllabus&entity_id=b24675… 4/12

misuse of information or people to gain an undeserved academic advantage or evaluation. The common forms of academic dishonesty include:

Cheating – using deception in the taking of tests or the preparation of written work, using unauthorized materials, copying another person’s work with or without consent, or assisting another in such activities.

Lying – falsifying, fabricating, or forging information in either written, spoken, or video presentations.

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