This course offers the student a comprehensive introduction to error analysis also identify the types and pattern of error moreover to establish error taxonomies. The course has main objectives for the student to: collection of sample for learner language, identification of error, description of error, evaluation of error, and also how utilize the distributions.

Recommended Books

1. An introduction to Error Analysis by John R.Taylor, University Science Books, California, 1982

2. Measurements and their Uncertainties A practical guide to modern error analysis by I FAN G. HUGHES and THOMAS P. A. HASE, OXFORD UNIVERSITY PRESS

Suggested Books

1. Errors of Observations by J.B.Toping, IOP, 1962.

2. Data Reduction and Error Analysis for Physical Science by P. Bevington, McGraw Hill 3rd Edition 2003

3. Bevington, Phillip and Robinson, D. Data Reduction and Error Analysis for the Physical Sciences, 2nd. ed. McGraw-Hill: New York, 1991.

key Day and Time:

Regular

Every Monday from 11:00am to 12:00pm

Every Tuesday from 11:00am to 12:00pm

Every Wednesday from 11:00am to 12:00pm

Credit hour: 03

Self support

Every Monday from 3:30pm to 4:30pm

Every Tuesday from 3:30pm to 4:30pm

Every Wednesday from 3:30pm to 4:30pm

Credit hour: 03

Valuation system for exams:

Mid term     30 Mark's

Final term   50 Mark's

Sessional    20 Mark's

(Assignment+Quiz+Attendace+Presentation)