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File: Papoulis Probability 180667 | Ee Fitted
ee2 mathematics probability and statistics dr bruno clerckx department of electrical and electronic engineering imperial college london october 2018 1 322 b clerckx imperial ac uk room 816 eee building ...

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                           EE2 Mathematics
                      Probability and Statistics
                             Dr Bruno Clerckx
         Department of Electrical and Electronic Engineering, Imperial College London
                               October 2018
                                                                    1/322
                         b.clerckx@imperial.ac.uk
                           Room 816, EEE Building
                     Course materials on Blackboard page.
                                                                        2/322
         Teaching details:
           ◮ Autumn 2018 term
                ◮ 15 Lectures
                ◮ 7 Classes
           ◮ Summer 2019 term
                ◮ 2 Lectures (for Revision)
         Course content:
           ◮ Probability & Statistics
         Exam Paper: 2 prob/stats questions, closed-book
                                                                               3/322
     Texts
         The general content of the course is covered in many books.
         Look for “Statistics For Engineers” type titles:
           ◮ Montgomery, D.C. and Runger, G.C. (2011) Applied
              Statistics and Probability for Engineers, 5th edition, Wiley.
           ◮ Devore, J.L (2004) Probability and Statistics for
              Engineering and the Sciences, 7th edition,
              Thomson/Brooks/Cole.
           ◮ Vining, G.G. (2006) Statistical Methods for Engineers,2nd
              edition, Brooks/Cole.
         More mathematical:
           ◮ Rice, J. (1993) Mathematical Statistics and Data Analysis,
              Wadsworth.
         For EEE graduates (reference for the 4th year course)
           ◮ Papoulis, A and Pillai, S. (2002) Probability, Random
              Variables and Stochastic Processes, McGraw-Hill.
                                                                              4/322
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...Ee mathematics probability and statistics dr bruno clerckx department of electrical electronic engineering imperial college london october b ac uk room eee building course materials on blackboard page teaching details autumn term lectures classes summer for revision content exam paper prob stats questions closed book texts the general is covered in many books look engineers type titles montgomery d c runger g applied th edition wiley devore j l sciences thomson brooks cole vining statistical methods nd more mathematical rice data analysis wadsworth graduates reference year papoulis a pillai s random variables stochastic processes mcgraw hill...

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