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Cornell University    
 
    
 
  Dec 15, 2017
 
Courses of Study 2017-2018
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HADM 3740 - Fundamentals of Database Management and Data Analysis


     
Spring. 3 credits. Student option grading.

Elective. Co-meets with HADM 6740 . Graduate students must enroll in HADM 6740 .  Due to capacity restraints in the Binenkorb Lab, attendance at the first class is mandatory; no-show students are dropped to make room for stand-by students; students may not drop the course after the second week of class.

M. McCarthy.

Prepares students to create and manage information in a knowledge-based organization. Students learn to design and use database tools  to perform analyses and to make decisions in today’s information-rich business environment. The course provides both theoretical and practical perspectives of database design and administration, with a focus on application. To manage this balance, students first gain a foundation of database concepts from lecture and course readings, and subsequently apply these fundamentals through various projects and assignments. Topics include information and information management in organizations; fundamentals of relational database design and implementation; writing and running SQL queries; working in database design teams and as individual research analysts; database design and management using Microsoft Access; database normalization; data-driven decision making; conversion of data into information and knowledge that can be leveraged to achieve business objectives; the role of data and information management in contemporary society; and data management opportunities in the hospitality industry.



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