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    Java Programming

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    Computing &Math. Sc.-University of Greenwich FMI- University of Shumen -BSc Informatics JAVA Programming Lecture 1 March 2007 Lecture notes by Dilwyn Edwards‚ presented by Stanev How do you learn? Programming is very obviously a task-oriented activity and the only way to learn is by doing it. Get as much practice as you can by trying all the exercises and don’t be afraid to try out your own ideas by modifying some of the examples. You can learn a certain amount from online tutorials

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    Object-Oriented Programming (OOP) / Event-Driven Programming (EDP) versus Procedural Programming (PP) Name Institution Date Introduction Programming is an innovative undertaking through which programmers use computers to carry out tasks and solve problems. Programming paradigms are the various approaches to programming. Two of the most fundamental programming paradigms include object-oriented programming as well as procedural programming. Object-oriented programming employs the interaction

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    Programming Methods

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    This assignment gave me the opportunity to computerize a manual membership system of Richard’s Tennis Club using various methods and techniques. The computerization of this system introduced several advantages but also created some limitations. The first report in task 1 had to contain a list of all the paid up members. To compile this list‚ the expiry date of each member was calculated depending upon the type of membership. Once the expiry date was set‚ this date was compared to the variable ‘today’

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    C++ Programming

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    Fundamentals of Digital Computing Vishesh Shrivastava (4) Electronics and Communication Technology Vishesh Shrivastava (5) Introduction to C++ Programming Sanjeela Sagar BSc IT SECOND YEAR: SEM III (New Syllabus) (1) Logic and Discrete Mathematics S. R. Rege: Latika Bonde (2) Computer Graphics Ravindra Sangle (3) Advanced SQL Sanjeela Sagar (4) Object Oriented Programming with C++ Sanjeela Sagar (5) Modern Operating Systems Jayalakshmi Srinivas: R. Kamatchi BSc IT SECOND YEAR: SEM IV (New Syllabus) (1)

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    Linear Predictive Coding

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    Linear Predictive Coding Jeremy Bradbury December 5‚ 2000 0 Outline I. II. Proposal Introduction A. Speech Coding B. Voice Coders C. LPC Overview III. Historical Perspective of Linear Predictive Coding A. B. C. IV. V. VI. History of Speech & Audio Compression History of Speech Synthesis Analysis/Synthesis Techniques Human Speech Production LPC Model LPC Analysis/Encoding A. B. C. D. E. Input speech Voice/Unvoiced Determination Pitch Period Estimation Vocal Tract Filter Transmitting the Parameters

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    Database and Programming

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    College of Business Hospitality & Tourism Studies Department of Computer Science & Information System CIN623 Database Design & Programming Final Examination Trimester 1 – 2011 Date: Duration:3 hours plus 10 minutes INSTRUCTION TO STUDENTS 1. You are allowed ten minutes extra reading time during which you are not to write 2. Write all answers to each question in the Answer Booklet. 3. Write your Student ID number at the top of each attached sheet. 4. Insert all written foolscaps in their correct sequence

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    Nonlinear Programming

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    • It is easy to use the Excel Solver to solve NLPs. • The process is similar to a linear model. • For NLPs having multiple local optimal  solutions‚ the Solver may fail to find the  optimal solution because it may pick a local  extremum that is not a global extremum. 22 Example 2 • Trucko is trying to determine where they should locate a  single warehouse. The positions in the x‐y plane of their four  customers and the number of shipments made annually to  each customer are given. Trucko

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    Signals and Linear System

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    EE2 Signals and Linear Systems Pier Luigi Dragotti Electrical & Electronic Engineering Department Imperial College London URL: http://www.commsp.ee.ic.ac.uk/~pld/Teaching/ E-mail: p.dragotti@imperial.ac.uk PLD Autumn 2012 Thursday‚ 27 September 12 Signals and Linear Systems Lecture 1 Aims and Objectives “The concepts of signals and systems arise in a variety of fields and the techniques associated with these notions play a central role in many areas of science and technology

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    System Programming

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    understanding of system software tools. UNIT I INTRODUCTION System software and machine architecture – The Simplified Instructional Computer (SIC) - Machine architecture - Data and instruction formats - addressing modes instruction sets - I/O and programming. 8 UNIT II ASSEMBLERS 10 Basic assembler functions - A simple SIC assembler – Assembler algorithm and data structures - Machine dependent assembler features - Instruction formats and addressing modes – Program relocation - Machine independent

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    Computer Linear Algebra

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    Computer Linear Algebra-Individual Assignment Topic: Image Sharpening and softening (blurring and deblurring). Nowadays‚ technology has become very important in the society and so does image processing. People may not realize that they use this application everyday in the real life to makes life easier in many areas‚ such as business‚ medical‚ science‚ law enforcement. Image processing is an application where signal information of an image is analyzed and manipulated to transform it to a different

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