Description:
Review of managerial and statistical data techniques used for logistics analysis. Hypothesis testing, regression and correlation analysis, forecasting, data mining, and statistical analysis.
Semester:
Summer of every year
Credits:
Variable from 2 to 3
Restrictions:
Open only to students in the Master of Science in Logistics and the Master of Science in Manufacturing and Innovation.
Description:
Quantitative and statistical methods for decision making. Hypothesis testing, regression and correlation analysis, forecasting, linear programming, decision analysis and project management.
Semester:
Summer of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to master's students in the Supply Chain Management major.
Description:
Quantitative and statistical methods for decision making. Hypothesis testing, regression and correlation analysis, forecasting, linear programming, decision analysis, and project management.
Semester:
Summer of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to master's students in the Supply Chain Management major.
Description:
Quantitative and statistical methods for decision making. Hypothesis testing, regression and correlation analysis, forecasting, linear programming, decision analysis, and project management.
Semester:
Summer of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to master's students in the Supply Chain Management major.
Description:
Quantitative and statistical methods for decision making. Hypothesis testing, regression and correlation analysis, forecasting, linear programming, decision analysis, and project management.
Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to master's students in the Supply Chain Management Major.
Description:
Quantitative and statistical methods for decision making. Hypothesis testing, regression and correlation analysis, forecasting, linear programming, decision analysis, and project management.