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System Approach in Civil Engineering Semester 7 (BE Fourth Year) BE Civil Engineering University of Mumbai Topics and Syllabus

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University of Mumbai Syllabus For Semester 7 (BE Fourth Year) System Approach in Civil Engineering: Knowing the Syllabus is very important for the students of Semester 7 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.

The University of Mumbai Semester 7 (BE Fourth Year) System Approach in Civil Engineering syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 7 (BE Fourth Year) System Approach in Civil Engineering Syllabus to learn about the subject's subjects and subtopics.

Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 7 (BE Fourth Year) System Approach in Civil Engineering Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 7 (BE Fourth Year) System Approach in Civil Engineering in addition to this.

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

University of Mumbai Semester 7 (BE Fourth Year) System Approach in Civil Engineering Revised Syllabus

University of Mumbai Semester 7 (BE Fourth Year) System Approach in Civil Engineering and their Unit wise marks distribution

University of Mumbai Semester 7 (BE Fourth Year) System Approach in Civil Engineering Course Structure 2021-2022 With Marking Scheme

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Syllabus

100 Concept of Systems Approach
  • System, boundaries of system, goals and objectives, optimality,
  • Mathematical models, objective function and constraints,
  • Problem solving mechanism, types of problems, modeling/problem formulation,
  • Sub-optimization, solution techniques,
  • Sensitivity Analysis
200 Decision Theory
  • Classification of decision situations, decision tables and decision tree,
  • criteria for decision making under certain, uncertain and risk conditions,
  • Utility theory.
300 Time Series Analysis
  • Variations in time series,
  • Trend analysis: method of moving averages
  • Method of least squares
400 Linear Programming
  • Formulation of Linear optimization models, Civil engineering applications.
  • Simplex method, special cases in simplex method,
  • Method of Big M, Two phase method, duality, sensitivity analysis General nature of problem, formulation of problems
  • Graphical nature and formulation of problem, method of solution,
  • Sensitivity analysis
500 Non-linear Programming
  • Single variable unconstrained optimization –Local and Global optima, Uni-modal Function
  • Sequential Search Techniques: Dichotomous, Fibonacci, Golden Section methods.
600 Distribution Models
  • Transportation problems and its variants
  • Assignment problems and its variants
  • Games Theory
700 Queuing, Sequencing and Replacement Models
  • Queuing Theory, queue discipline, Simulation
  • Sequencing model – n jobs through 2, 3 and M machines
  • Replacement Models
800 Dynamic Programming
  • Multi stage decision processes, Principle of optimality, Recursive equation, Application of D.P.
  • Decision theory
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