{"id":16741,"date":"2019-12-10T03:55:52","date_gmt":"2019-12-10T03:55:52","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/computational-methods-and-algorithms-industrial-engg-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/"},"modified":"2020-07-07T13:41:56","modified_gmt":"2020-07-07T13:41:56","slug":"computational-methods-and-algorithms-industrial-engg-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/computational-methods-and-algorithms-industrial-engg-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/","title":{"rendered":"Computational Methods and Algorithms Industrial Engg 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III)"},"content":{"rendered":"

Computational Methods and Algorithms Industrial Engg 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Industrial Engineering (Industrial Engg), 2017 regulation is collected from the Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (IE8072), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n

For all other industrial engg 7th sem syllabus for be 2017 regulation anna univ you can visit Industrial Engg 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective III subjects do refer to Professional Elective III<\/a>. The detail syllabus for computational methods and algorithms is as follows.<\/p>\n

Course Objective:<\/h4>\n

A brief introduction to algorithmic design tools with some applications.<\/p>\n

Unit I<\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Unit II<\/h4>\n

Algorithm Design Methods<\/strong>
\nGreedy – Divide and conquer – Backtracking – Branch and bound – Heuristics- Meta heuristics<\/p>\n

Unit III<\/h4>\n

Basic Tools<\/strong>
\nStructured approach – Networks – Trees – Data structures<\/p>\n

Unit IV<\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Unit V<\/h4>\n

Applications<\/strong>
\nSorting – Searching – Networks – Scheduling – Optimization models – IE applications<\/p>\n

Course Outcome:<\/h4>\n