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Haug had a BA in mathematics and quantitative methods and computer science, and an MS in software engineering, both from the University of St. He has over twenty-five years of experience in academia and industry, working in areas including software development, database design and implementation, and network administration to implement projects across many technology platforms, DDBMS, and programming languages.
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Thomas, where he has taught graduate courses in software development, distributed database management systems, and data warehousing. Haug is an adjunct professor with the Graduate Programs in Software at the University of St. Rahimi holds a BS in electrical engineering and a PhD, both in computer science, from the University of Minnesota.įrank S. He has spoken in many national and international conferences and has published many scientific articles. He had been a database design and implementation consultant, providing services to the industry and the federal government for over thirty years. He is also a cofounder of DWSoft Corporation and InfoSpan, two companies specializing in metadata management for data warehousing. Rahimi, PhD, is an associate professor with the Graduate Program in Software at the University of St. Using SET operators, Date/Time Functions, GROUP BY clause (advanced features) and advanced subqueriesĬomposite data types, cursors and exceptions.Saeed K. PL-SQL: Beginning with PL / SQL, Identifiers and Keywords, Operators, Expressions, Sequences, Control Structures, Cursors and Transaction, Collections and composite data types, Procedures and Functions, Exceptions Handling, Packages, With Clause and Hierarchical Retrieval, Triggers.ĭatabase Management Systems Practicals Practical NoĬreating and Managing other database objects Transaction management and Concurrency: Control Transaction management: ACID properties, serializability and concurrency control, Lock based concurrency control (2PL, Deadlocks), Time stamping methods, optimistic methods, database recovery management. Operators, grouping and ungrouping, relational comparison.Ĭalculus: Tuple relational calculus, Domain relational Calculus, calculus vs algebra, computational capabilitiesĬonstraints, Views and SQL: Constraints, types of constrains, Integrity constraints, Views: Introduction to views, data independence, security, updates on views, comparison between tables and views SQL: data definition, aggregate function, Null Values, nested sub queries, Joined relations. Relational Algebra and Calculus: Relational algebra: introduction, Selection and projection, set operations, renaming, Joins, Division, syntax, semantics.
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Relational database model: Logical view of data, keys, integrity rules, Relational Database design: features of good relational database design, atomic domain and Normalization (1NF, 2NF, 3NF, BCNF). Introduction to Databases and Transactions: What is database system, purpose of database system, view of data, relational databases, database architecture, transaction managementĭata Models: The importance of data models, Basic building blocks, Business rules, The evolution of data models, Degrees of data abstraction.ĭatabase Design, ER Diagram and Unified Modeling Language: Database design and ER Model: overview, ER Model, Constraints, ER Diagrams, ERD Issues, weak entity sets, Codd’s rules, Relational Schemas, Introduction to UML Database Management Systems Syllabus Unit
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