Design and Analysis of Algorithms and Lab offers an in-depth understanding of algorithmic techniques essential for solving computational problems efficiently. This course dives into core concepts such as divide and conquer, dynamic programming, greedy algorithms, and graph theory while focusing on the theoretical underpinnings of algorithm design and performance analysis. Students will gain insights into time and space complexity, ensuring they can evaluate and optimize solutions for real-world applications. The lab component enhances learning by enabling students to implement, test, and refine algorithms using modern programming tools. Through practical exercises and real-world scenarios, participants will develop a hands-on understanding of problem-solving strategies and algorithmic thinking. This course bridges the gap between theoretical knowledge and practical application, equipping students with the skills needed to tackle challenges in software development, data science, and beyond.
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Lekha D is currently working as an Assistant Professor in the Department of Computer Science and Engineering, at R.M.K. College of Engineering and Technology, Puduvoyal, Chennai, India. She acquired M.E. degree in Computer Science and Engineering from Velammal Engineering College in 2020. She has completed many certifications to her credit. She has published many papers in various Indexed Journals and Conferences at both National and International level. Her research interests include Cyber Security, Network Security, Artificial Intelligence and Machine Learning. She is a life member of the ISTE, IAENG and CSI. Yuvasri B is currently working as an Assistant Professor in the Department of Computer Science and Engineering, at R.M.K. College of Engineering and Technology, Puduvoyal, Chennai, India. She acquired M.E. degree in Computer Science and Engineering from R.M.K. Engineering College in 2018. She has completed many certifications to her credit. She has published many papers in various Indexed Journals and Conferences at both National and International level. Her research interests include Network Security, Artificial Intelligence and Machine Learning, Data Mining. She is a life member of the ISTE, IAENG and CSI. Dr. Ponnuviji N P is currently working as an Associate Professor in the Department of Computer Science and Engineering, at R.M.K. College of Engineering and Technology, Puduvoyal, Chennai, India. She acquired her M.C.A. degree from University of Madras in 2001 and M.Tech. degree in Computer Science and Engineering from SRM University in 2015 and Ph.D. from Anna University in 2023. She has 15+ years of teaching experience in reputed Engineering Colleges in Andhra Pradesh and Tamil Nadu and 4 years of Industry experience. She has completed many certifications to her credit from IBM and Google. She has published many papers in various Indexed Journals and Conferences at both National and International level and has also won the Best Paper Award in an IEEE Conference. Her research interests include Cloud Computing, Network Security, Data Mining and Machine Learning. She is a life member of the ISTE, IAENG and CSI. Dr. Raja Suguna M is currently working as an Associate Professor in the Department of Computer Science and Engineering, at R.M.K. College of Engineering and Technology, Puduvoyal, Chennai, India. She acquired her M.E degree in Computer Science and Engineering from Anna University in 2014 and Ph.D. from Saveetha University in 2023.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Design and Analysis of Algorithms and Lab offers an in-depth understanding of algorithmic techniques essential for solving computational problems efficiently. This course dives into core concepts such as divide and conquer, dynamic programming, greedy algorithms, and graph theory while focusing on the theoretical underpinnings of algorithm design and performance analysis. Students will gain insights into time and space complexity, ensuring they can evaluate and optimize solutions for real-world applications. The lab component enhances learning by enabling students to implement, test, and refine algorithms using modern programming tools. Through practical exercises and real-world scenarios, participants will develop a hands-on understanding of problem-solving strategies and algorithmic thinking. This course bridges the gap between theoretical knowledge and practical application, equipping students with the skills needed to tackle challenges in software development, data science, and beyond. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781300663041
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