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Design and modify data structures capable of insertion, deletion, search, and related operations. Combine data structures to build more complex implementations. Trace through and predict the behavior of algorithms (including code) designed to implement data structure operations.
There will be 3 in person exams, 2 midterms and 1 final. The common hour exams are scheduled so that students from every section take the exams at the same time. Each exam is 150 points. Exams are in person. You are required to be on campus to take the exams, DO NOT make arrangements for those days.
To investigate the essential properties of data structures and algorithms for operating on them; to use these structures as tools to assist algorithm design; to extend exposure to searching, sorting and hashing techniques.
(1.1) () Implement and analyze Java code to manipulate 1D and 2D arrays. (1.2) () Describe and illustrate memory representation and allocation involving-1D and 2D array implementations in Java. (1.3) Explain algorithmic efficiency as it relates to speed and space consumption. (1.4) Categorize algorithms according to their Big O complexity.
The course studies a variety of useful algorithms and analyze their complexity; students will gain insight into principles and data-structures useful in algorithm design. This course counts as category A for the M.Sc. degree requirement.
Data structures: search trees, hash tables, heaps, Fibonacci heaps, union-find. Algorithms: string matching, sorting and ordering statistics, graph algorithms. NP-completeness. Expected Work: 6-7 homework assignments. There is a midterm and final examination.
Data structures and algorithms are at the heart of all computer programs and applications. This course is an introduction to many of the common data structures like arrays, linked lists and tree structures as well as some fundamental algorithms on data collections and graphs.
The Bachelor of Science in Data Science at Rutgers provides students with a foundation in data literacy, statistical inference, and data management. The program includes courses in calculus, linear algebra, and principles of information and data management.
The main goal of this graduate course is to expose students to many common data structures like arrays, linked lists tree structures and hash tables, and to fundamental techniques for algorithm design and analysis. A variety of application contexts will be considered.
MAKE SURE TO COMPLETE USING YOUR RUTGERS EMAIL ACCOUNT (netid@scarletmail.rutgers.edu). More information under the Syllabus – Assignments including: Early submission; Plagiarism detection; Follow our Academic Integrity guidelines