Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	2	2	23A52402e	OPTIMIZATION TECHNIQUES	2.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	OPTIMIZATION TECHNIQUES - 23A52402e (Theory)	23A52402e	23A52402e	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	book_file	note
1	OPTIMIZATION TECHNIQUES - 23A52402e (Theory)	Engineering Optimization: Theory and practice	S.S.Rao	New Age International (P) Limited	None	Textbook	Link	True
2	OPTIMIZATION TECHNIQUES - 23A52402e (Theory)	Introduction to O.R	Hiller &Libermann (TMH).	None	None	Reference	Link	True
3	OPTIMIZATION TECHNIQUES - 23A52402e (Theory)	Quantitative Analysis For Management/ Barry Render	Ralph M. Stair, Jr and Michael E. Hanna	Pearson	Global Edition	Reference	Link	True

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

Sno	subject	date	title