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George Mason University

Business Analytics II -- BUS 310

Course Descriptions (from the University): This course introduces the concepts of modeling relationships contained in data and the use of linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. The course also introduces students to fundamentals of linear programming to solve optimization problems in business. Lecture: 3 hours

Prerequisites: Essential and expected knowledge: Proficiency in elementary algebra and geometry. Familiarity with recent versions of MS Word, PowerPoint, and Excel. Deficiencies in any of these areas should be self-remediated. And completion of BUS 210 with a grade of C or higher.

Syllabus -- in Word format

Important Dates (traditional section)
Exam Ia/b/c Data Part I Data -- Friday, March 9th key/key/key/key/key/study guide/formula sheet
Exam IIa/b/c/Data/Part 1 Data-- Friday, April 20th key/key/key/key/key/study guide
Final Exam a/b/c/Part I/Data -- Friday May 11th 10:30, 4:30, 7:20 key/key/key/key/key/study guide/formula sheet

see the syllabus for a more detailed calendar