Elmasri navathe fundamentals of database systems.pdf
Each student should complete his/her homework and project assignments independently.
Topics: Components of a Database System, File Structures, Access Methods, Query Processing and Optimization, Transactions, Concurrency Control, Recovery, Distributed Databases, Security, Trends (data mining, RDF, Cloud and etc).
Course Description, this course is intended to give students a solid background in database management systems, particularly relational database management systems.M copying someone else's assignment, or the common solution of written or programming assignments will be considered cheating.Florida International University, office: ECS 318, email: taoli.edu.You are strongly encouraged to carefully do every assigned problem on your own.) 1/15/2014 The Database Design Chapter attack on titan episode 23 2 1/18/2014 The Database Design II Chapter 2 Quiz.Fundamentals of Database Systems.Online students should watch all the lecture videos.Viswanath Gunturi, eE/CS 2-209,M chemical structure and bonding pdf 2:30-3:30pm and T 4:30-5:30pm 626-7512, schedule: lecture, homework and examination schedule, external Web Pages: photoshop cs6 extended trial version SQL and Oracle links, Internal Web Pages: Main (.edu/Courses/Spring13/5708/ Class Notes, homeworks, Streaming Video, Instructor Announcements, TA Announcements, Moodle site link, Teams.They should also be familiar with relational model, SQL, storage and indexing, query evaluation, transaction management, and some selected topics.Late homeworks should be submitted to the TA in email (postscript, pdf, text or MS Word doc files) as well as on paperin CSE Office (EE/CS 4-192).Class participation includes database news and active learning.Supplementary Book : Rick Greenwald, Robert Stackowiak and Jonathan Stern, Oracle Essentials: Oracle Database 11g, 4th Edition, O 'Reilly.Fundamentals of Distributed dbmss, Web Databases and Cloud Databases (NoSQL / NewSQL Semi-structured data management (XML/json, XPath and XQuery Document data-stores (i.e., CouchDB, MongoDB, RavenDB Key-Value data-stores (e.g., BerkeleyDB, MemCached Introduction to Cloud Computing (NFS, GFS/Hadoop hdfs, Replication/Consistency Principles Big-data processing/analytic frameworks (Apache MapReduce/PIG, Spark/Shark.No late homeworks will be accepted, and no make-up for the midterm and final examinations will be given.
Format and Grading The course assignments include homeworks and implementation projects.
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