AQM 1000-04 - FOUND BUS ANALYTICS

Academic Period:

Fall 2025

Section:

AQM 1000-04 - FOUND BUS ANALYTICS

Title:

FOUNDATIONS OF BUSINESS ANALYTICS

Meeting Patterns:

Mon/Wed | 13:15 - 14:45

Locations:

Horn Computer Center 164 Can be several values or empty

Start Date:

Monday, August 25, 2025 Date format can be changed

End Date:

Friday, December 12, 2025 Date format can be changed

Instructor Name:

George Recck

Instructor Email:

recck@babson.edu

Academic Unit:

MAST - Mathematics, Analytics, Science and Technology

Academic Level:

Undergraduate

Maximum Credits:

4

Delivery Mode:

In-Person

Allowed Grading Bases:

Graded

Section Status:

Closed

Enrollment Count:

38

Section Capacity:

36

Description:

AQM1000 Foundations of Business Analytics 4 Foundation Liberal Arts Credits    The course introduces the necessary quantitative methods that are prerequisites to follow-on courses in AQM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better appreciate the importance of using modern technological tools for effective model building and decision-making. The initial third of the course focuses on basic frequentist statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data visualization, data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, confidence intervals, and hypothesis testing. The remainder of the course is dedicated to decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. Topics include introductions to linear regression, time series analysis, and simulation. The course emphasizes the effective communication of quantitative results through written, visual, and oral means.

HTML Description:

AQM1000 Foundations of Business Analytics
4 Foundation Liberal Arts Credits 
 
The course introduces the necessary quantitative methods that are prerequisites to follow-on courses in AQM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better appreciate the importance of using modern technological tools for effective model building and decision-making. The initial third of the course focuses on basic frequentist statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data visualization, data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, confidence intervals, and hypothesis testing. The remainder of the course is dedicated to decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. Topics include introductions to linear regression, time series analysis, and simulation. The course emphasizes the effective communication of quantitative results through written, visual, and oral means.

Format:

In-Person Can be several values or empty

Session:

Full Session Can be several values or empty

Elective:

Can be several values or empty

Program:

Foundation Liberal Arts (UGrad), , Can be several values or empty