Lecture Discrete Structures for Computing

Lecture Discrete Structures for Computing - Chapter 1b: Predicate Logic present the content: predicate logic - motivation, syntax, proof theory; semantics of predicate logic; soundness and completeness of predicate logic; undecidability of predicate logic,...

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Lecture Discrete Structures for Computing - Chapter 2: Proving Methods present the content: proof methods, terminology, proving a theorem, proof by contraposition, proof by contradiction, mathematical induction, homeworks and exercises,...

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Lecture Discrete Structures for Computer Science - Chapter 4: Sets and Functions present the content: sets, set operation, functions, one-to-one and onto functions; sequences and summation; venn diagram; recursion,...

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Lecture Discrete Structures for Computer Science - Chapter 4: Relations present the content: properties of relations, combining relations, representing relations, closures of relations, types of relations, relations antisymmetric,...

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Lecture Discrete Structures for Computer Science - Chapter 5: Counting present the content: introduction, counting techniques, pigeonhole principle, permutations & combinations, applications of combinatorics,...

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Lecture Discrete Structures for Computing - Chapter 0: Introduction present the content: course description, course outline, document, some applications, subjects in general discrete mathematics course, topics relational to the course,...

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This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables. In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems.

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In this chapter, the following content will be discussed: Relational DBMSs dominate the market for business DBMSs. You will undoubtedly use relational DBMSs throughout your career as an information systems professional. This chapter provides background so that you may become proficient in designing databases and developing applications for relational databases in later chapters.

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This chapter provided a broad presentation about the database development process. You learned about the relationship between database development and information systems development, the phases of database development, and the kinds of skills you need to master. This chapter presents the notation of entity relationship diagrams to provide a foundation for using entity relationship diagrams in the database development process.

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In this chapter, the following content will be discussed: More of an interactive demonstration than an animation, demonstrate conceptual execution model of Type II nested queries, type II nested queries are important for solving problems involving difference operator, problems with difference are not common.

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In this chapter, the following content will be discussed: This chapter augments your database application development skills with stored procedures and triggers. Stored procedures provide reuse of common code, while triggers provide rule processing for common tasks.

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This chapter shows you how to apply your query formulation skills to building applications with views. This chapter also emphasizes views as the foundation for building database applications. Before discussing the link between views and database applications, essential background is provided.

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In this lesson, you will leam about specific steps you can take to secure your computer system and your data from a variety of threats. You might be surprised to learn that computer security is not primarily a technical issue, and is not necessarily expensive. For the most part, keeping your system and data secure is a matter of common sense.

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This lesson introduces you to some of the most commonly used types of application software the programs that millions of people use each day to accomplish routine tasks. Although you might think of a computer as being a highly specialized machine, in fact it is most often used for basic, everyday tasks at home, school, and work. By applying computers and application programs to these mundane tasks, people can be more productive, creative, and efficient.

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Lecture 6 - System structures for implementation presents the following content: Block diagram representation of computational structures, signal flow graph description, basic structures for IIR systems, transposed forms, basic structures for FIR systems.

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Students learn in a number of ways and in a variety of settings. They learn through lectures, in informal study groups, or alone at their desks or in front of a computer terminal. Wherever the location, students learn most efficiently by solving problems, with frequent feedback from an instructor, following a worked-out problem as a model. Worked-out problems have a number of positive aspects. They can capture the essence of a key concept -often better than paragraphs of explanation. They provide methods for acquiring new knowledge and for evaluating its use.

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