{"id":16442,"date":"2019-12-10T03:46:33","date_gmt":"2019-12-10T03:46:33","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/computational-methods-and-algorithms-ind-engg-mang-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/"},"modified":"2019-12-10T03:46:33","modified_gmt":"2019-12-10T03:46:33","slug":"computational-methods-and-algorithms-ind-engg-mang-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-ind-engg-mang-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/","title":{"rendered":"Computational Methods and Algorithms Ind Engg & Mang 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III)"},"content":{"rendered":"

Computational Methods and Algorithms Ind Engg & Mang 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Industrial Engineering & Management (Ind Engg & Mang), 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 ind engg & mang 7th sem syllabus for be 2017 regulation anna univ you can visit Ind Engg & Mang 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.\n<\/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\n<\/p>\n

Unit III<\/h4>\n

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

Course Outcome:<\/h4>\n