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Advanced Computational Techniques Semester 7 (BE Fourth Year) BE Civil Engineering University of Mumbai Topics and Syllabus

CBCGS [2019 - current]
CBGS [2015 - 2018]
Old [2000 - 2014]

Syllabus

100 Review of Basic Statistics and Probability
  • Probability Distributions, Theoretical: binomial, poisson, normal, exponential, hypergeometric, uniform
200 Sampling and Sampling Distributions
  • Probability and non-probability samples, sampling and non-sampling errors.
  • Sample size, sampling distributions: t, F and ƛ ²distributions.
300 Hypothesis Testing
  • Type I and II error, testing of mean, proportion, tests for equality of mean and variances of two populations, confidence interval, ƛ ² test for goodness of fit, ANOVA (one way classification),Non parametric tests: sign test, U test
400 Correlation and Regression
  • Karl Pearson's and Rank Correlation coefficient, simple linear regression least squares method.
500 Management Decision Making
  • System approach, decision making under uncertainty and risk: decision tables and decision tree.
600 Linear Programming
  • Graphical solution, simplex method, dual, sensitivity analysis, transportation and assignment problems
700 Introduction to Genetic Algorithms
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