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Provides course outcomes and a complete syllabus for Data Structures & Algorithms, covering complexity, searching, sorting fundamentals, stacks, queues, and core applications.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/md-university-rohtak-btech-cse-scheme-of-studies-and-examination-2019-20-dbms-and-data-structures-algorithms-semester-3-4/176598/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/md-university-rohtak-btech-cse-scheme-of-studies-and-examination-2019-20-dbms-and-data-structures-algorithms-semester-3-4/176598.png","ImageObject",442,249,{"name":88,"@type":89},"Maya Linwood","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-27","2026-09-02",true,{"@type":98,"interactionType":99,"userInteractionCount":20},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the examination pattern for the DBMS and Data Structures & Algorithms courses?","Question",{"text":108,"@type":109},"The examiner sets nine questions total, with question one compulsory and having six parts of 2.5 marks each from all units. 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(Information Technology)\n&\nB.Tech. (Computer Science and Information Technology)\nSEMESTER 3rd & 4th\nScheme effective from 2019-20\nCOURSE CODE AND DEFINITIONS\n\u000f\nB.Tech. (Computer Science and Engineering)\nCommon with B.Tech. (Information Technology) &\nB.Tech. (Computer Science and Information Technology)\nScheme of Studies/Examination  w.e.f. 2019-20\nSemester- 3\n\u000f\nB.Tech. (Computer Science and Engineering)\nCommon with B.Tech. (Information Technology) &\nB.Tech. (Computer Science and Information Technology)\nScheme of Studies/Examination w.e.f. 2019-20\nSemester- 4\n*MC-106G  is a mandatory non –credit course in which the students will be required passing marks in theory.\nNOTE: At the end of 4th semester each student has to undergo Practical Training of 4/6 weeks in an Industry/ Institute/ Professional Organization/ Research Laboratory/ training centre etc. and submit typed report along with a certificate from the organization & its evaluation shall be carried out in the 5th Semester.\nDatabase Management System\nObjectives of the course\nTo understand the different issues involved in the design and implementation of a database system.\nTo study the physical and logical database designs, database modeling, relational, hierarchical, and network models\nTo understand and use data manipulation language to query, update, and manage a database\nTo develop an understanding of essential DBMS concepts such as: database security, integrity, concurrency, distributed database, and intelligent database, Client/Server (Database Server), Data Warehousing.\nTo design and build a simple database system and demonstrate competence with the fundamental tasks involved with modeling, designing, and implementing a DBMS.\nNote: Examiner will set nine questions in total. Question one will be compulsory. Question one will have 6 parts of 2.5 marks each from all units and remaining eight questions of 15 marks each to be set by taking two questions from each unit. The students have to attempt five questions in total, first being compulsory and selecting one from each unit.\nUnit: 1\nDatabase   system   architecture:   Data   Abstraction,   Data   Independence,   Data   Definition\nLanguage (DDL), Data Manipulation Language (DML). Data  models:  Entity-relationship model, network model, relational and object oriented data models, integrity constraints, data manipulation operations.\nUnit: 2\nRelational query languages: Relational algebra, Tuple and domain relational calculus, SQL3, DDL and DML constructs, Open source and Commercial DBMS - MYSQL, ORACLE, DB2, SQL server.\nRelational database design: Domain and data dependency, Armstrong's axioms, Normal forms, Dependency preservation, Lossless design.\nQuery processing and optimization: Evaluation of relational algebra expressions, Query equivalence, Join strategies, Query optimization algorithms.\nUnit: 3\nStorage strategies: Indices, B-trees, hashing,\nTransaction processing: Concurrency control, ACID property, Serializability of scheduling, Locking and timestamp based schedulers, Multi-version and optimistic Concurrency Control schemes, Database recovery.\nUnit: 4\nDatabase Security: Authentication, Authorization and access control, DAC, MAC and RBAC models, Intrusion detection, SQL injection.\nAdvanced topics: Object oriented and object relational databases, Logical databases, Web databases, Distributed databases, Data warehousing and data mining.\nSuggested books:\n“Database System Concepts”, 6th Edition by Abraham Silberschatz, Henry F. Korth, S. Sudarshan, McGraw-Hill.\nSuggested reference books\n“Principles of Database and Knowledge – Base Systems”, Vol 1 by J. D. Ullman, Computer Science Press.\n“Fundamentals of Database Systems”, 5th Edition by R. Elmasri and S. Navathe, Pearson Education\n“Foundations of Databases”, Reprint by Serge Abiteboul, Richard Hull, Victor Vianu, Addison-Wesley\nCourse Outcomes\nFor a giv","cbCaipc4C6EPiWXL","https://ap.wps.com/l/cbCaipc4C6EPiWXL","docx",168671,52,"English","# Scheme effective from 2019-20\n## Course code and definitions\n## Database Management System (Objectives, Units, Outcomes)\n## Data Structure & Algorithms (Objectives, Units)","[{\"question\":\"What is the examination pattern for the DBMS and Data Structures \\u0026 Algorithms courses?\",\"answer\":\"The examiner sets nine questions total, with question one compulsory and having six parts of 2.5 marks each from all units. Students must attempt five questions: the compulsory question plus one selected from each unit.\"},{\"question\":\"What are the key DBMS topics covered in the syllabus?\",\"answer\":\"Topics include database system architecture, data abstraction and independence, DDL/DML, relational query languages and SQL, normalization and lossless design, query processing and optimization, indexing and storage strategies, transactions and concurrency control, security and SQL injection, plus advanced DB concepts like distributed and data warehousing.\"},{\"question\":\"What training requirement is specified at the end of the 4th semester?\",\"answer\":\"Each student must undergo practical training for 4/6 weeks in an industry/institute/professional organization/research laboratory/training centre and submit a typed report with a certificate; evaluation is carried out in the 5th semester.\"}]","M.D. University Rohtak - B.Tech CSE Scheme of Studies and Examination 2019-20 - DBMS and Data Structures & Algorithms (Semester 3 & 4) | DOCX",1788324965]