Applied Statistics and Urban Operations Research - I

Semester: 
Fall
Lecture Notes

This course is designed to provide graduate students with knowledge on key concepts on probabilistic modelling; queueing theory; mathematical programming, network modelling and facility location problems, and network programming and optimization.

http://tinyurl.com/AppliedStatsLectures

Related materials
PreviewAttachmentSize
0_course_overview.pdf991.63 KB
1_probabilisticmodelling_randomvariables.pdf549.26 KB
2_probabilisticmodelling_poissonprocess.pdf1.53 MB
3_probabilisticmodelling_functionsofrandomvariables.pdf652.79 KB
4_basics_of_queuing_theory_i.pdf4.74 MB
5_basics_of_queuing_theory_deterministic.pdf469.56 KB
6_networkmodelling_i.pdf1.13 MB
6_networkmodelling_ii.pdf1.46 MB
7_mathprogramming.pdf679.47 KB
8_networkprogramming.pdf1.16 MB
9_presentation_skills.pdf239.18 KB
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