**Phys 114**** -
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Introduction to Data Reduction with Applications (3-0-3)**

An introduction to both the theory and application of error analysis and data reduction methodology. Topics include the binomial distribution and its simplification to Gaussian and Poisson probability distribution functions, estimation of moments, and propagation of uncertainty. Forward modeling, including least-squares fitting of linear and polynomial functions, is discussed. The course enables students to apply the concepts of data reduction and error analysis using data analysis software applied to real data sets found in the physical sciences.

**COURSE OUTLINE
(including lecture notes and HW assignments)**

**
Frequency Asked Questions from Student Emails**

**Need help with Matlab?**

Physics Department Tutoring:**
Schedule for Physics Tutoring**

http://math.njit.edu/students/

http://math.njit.edu/students/

**GRADES and Logbook of Assignments:
**SECTION 001

Home work Solutions: WK2, WK3 Example of Matlab Code to Import Data, WK4, WK5, WK7, WK8, WK9, WK11, WK12

Equation sheet for Final

PLEASE NOTE THAT THE COURSE CONTENT VARIES FROM YEAR TO YEAR. Consult the syllabus and assigned HW problems and labs to determine what will be covered on this year's exams