#1
8th October 2019, 09:40 PM
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Course syllabus and duration of MTech(Industrial Engineering) in CV Raman Computer Academy Bhubaneswar?
Hello everyone, can any of you kindly tell me about the duration of MTech(Industrial Engineering) which is available in CV Raman Computer Academy Bhubaneswar? I also want to know about the syllabus of this course. Please tell me as soon as possible.
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#2
14th October 2019, 12:11 AM
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Re: Course syllabus and duration of MTech(Industrial Engineering) in CV Raman Computer Academy Bhubaneswar?
MTech in Industrial Engineering is a 2 year duration course and is divided into 4 semesters. This course deals with the optimization of complex processes and concerned with the development, improvement, implementation and evaluation. The detailed syllabus is given below.
Semester I Probability and Statistics Operations Research Industrial Engineering Systems Program Elective I Semester II Operations Planning and Control Program Elective II Program Elective III Program Elective IV Professional Project Activity in Summer Vacation Semester III Major Project Part I Supply Chain Management Logistics Entrepreneurship Project Management Special Topics in IE Maintenance Management Operations Management Service System Design Semester IV Major Project Part II Analytics and Optimization Manufacturing Informatics Optimization Stochastic Modeling and Simulation Advanced Operations Research Product Life Cycle Management Value Engineering and Life Cycle Costing Reliability Engineering Quality Systems |
#3
14th October 2019, 01:06 AM
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Re: Course syllabus and duration of MTech(Industrial Engineering) in CV Raman Computer Academy Bhubaneswar?
Course syllabus and duration of M.Tech (Industrial Engineering) in CV Raman Computer Academy, Bhubaneswar are as mentioned below:-
Probability and Statistics Operations Research Industrial Engineering Systems Operations Planning and Control Supply Chain Management Logistics Entrepreneurship Project Management Special Topics in IE Maintenance Management Operations Management Service System Design Analytics and Optimisation Manufacturing Informatics Optimisation Stochastic Modelling and Simulation Advanced Operations Research Product Life Cycle Management Value Engineering and Life Cycle Costing Reliability Engineering Quality Systems |
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