Statistical Applications and Optimization Laboratory Industrial Engg 6th Sem Syllabus for BE 2017 Regulation Anna Univ

Statistical Applications and Optimization Laboratory detail syllabus for Industrial Engineering (Industrial Engg), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (IE8662), Category (PC), Contact Periods/week (4), Teaching hours/week (0), Practical Hours/week (0). The total course credits are 4.

For all other industrial engg 6th sem syllabus for be 2017 regulation anna univ you can visit Industrial Engg 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for statistical applications and optimization laboratory is as follows.”

Course Objective:

• To give adequate exposure to applications of software packages in the areas of Applied Statistics, Operations Research and Reliability

List of Experiments:

1. 1. Mean, Median, Mode, measures of dispersion
   2. Look up tables, Statistics
   3. Data analysis

Simple Operation Research Programs

1. 1. Initial Solution of TP, Inventory Price Break Models

Optimization Package (TORA /LINDO)

1. LP Models
2. Transportation
3. Assignment
4. Maximal flow
5. Minimal spanning tree
6. Shortest route
7. Network scheduling

Course Outcome:

• Ability to use software packages in the area of statistical analysis operation research and reliability predictions.

List of Equipment for a Batch of 30 Students

1. Personal computers with following software, Language and packages
   1. MS Excel
   2. TORA
   3. LINDO
   4. C or Other equivalent Language.

For detail syllabus of all other subjects of BE Industrial Engg, 2017 regulation do visit Industrial Engg 6th Sem syllabus for 2017 Regulation.

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