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- Object-Oriented Analysis and Design | Sarnath Ramnath | Springer
- Object-Oriented Design
- Computer Science
His areas of interest include algorithm analysis and design, data-structures, computational geometry and object-oriented software design. Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? Read more Read less.
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This course provides an undergraduate research experience for Computer Science majors enrolled in the Honors Program.https://siokingmenbyja.ml/every-chance-i-get-mills.php
Object-Oriented Analysis and Design | Sarnath Ramnath | Springer
Each student develops a project idea in consultation with the instructor. The student writes a proposal for the project, reads the relevant literature, performs the project, writes a project report or thesis, and makes an oral presentation about the project. Individual study for a student desiring more advanced or more specialized work. This course may not be taken more than twice and may not be substituted for scheduled offerings. Note: This course is for CS graduate students needing to fulfill prerequisite requirements.
It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator. This course is for CS graduate students needing it to fulfill prerequisite requirements. Trees, lists, graphs, arrays; algorithms design strategies; backtracking, greedy storage, divide and conquer, branch and bound.
Elementary techniques for analysis; recursion equations, estimations methods, elementary combinatorial arguments. Examination of problem areas such as searching, sorting, shortest path, matrix and polynomial operations, and the indicated representations and algorithms. The student will use the techniques learned in this course and in previous courses to solve a number of logically complex programming problems. Computer Science. Academic Catalog.
Media Computing Formerly An Introduction to Programming for Data Science Description Linguists, chemists, business analysts, social scientists, and essentially everyone needs computational approaches to structure, analyze and present their data. Computing I Formerly Computing II Formerly Computing I Lab Formerly Computing II Lab Formerly Undeclared Science Seminar Formerly Exploring the Internet Formerly Topics In Computer Science Formerly Computing III Formerly Assembly Language Programming Formerly Computing IV Formerly Prerequisites Music majors only.
Special Topics: Sound Thinking Formerly Organization of Programming Languages Formerly Prerequisites Pre-Req: Foundations of Computer Science Formerly Computer Architecture Formerly Operating Systems Formerly Database I Formerly Database II Formerly Special Topics Formerly Introduction to Computer Security Description This class introduces students to computer security. Software Project I Formerly Software Project II Formerly Analysis of Algorithms Formerly Parallel Processing Formerly Compiler Construction I Formerly Software Engineering I Formerly Software Engineering II Formerly Data Communications I Formerly Prerequisites Co-Req or Pre-Req: Data Communications II Formerly Artificial Intelligence Formerly Data Mining Formerly Machine Learning Formerly Computer Vision I Formerly Computer Graphics I Formerly Computer Graphics II Formerly Bioinformatics for CS Description Complete genomic sequences of human, other mammals, and numerous other organisms are known for some time.
Natural Language Processing Formerly Prerequisites Pre-req: Mobile Robotics I Formerly Mobile Robotics II Formerly Computer Security Formerly Selected Topics Formerly Prerequisites Junior or Senior Status.
Cyber Crime Investigation Description This class introduces students to computer forensics and network forensics, which are two major components of digital forensics. Mobile App Programming ll Description A second course in the design and implementation of mobile applications on Android platform.
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Honors Project I Formerly Prerequisites Level is Junior or Senior standing. Honors Project II Formerly Prerequisites Pre-Req or Co-Req: Directed Studies in Computer Science Formerly Topics include objects and classes, data types, applets and graphics, decision statements, iteration, methods, testing and debugging, arrays, sorting and searching, inheritance, interfaces and polymorphism.
Co-requisite CSC This lab is to be taken with the course CSC The objective of the lab is to give the students hands-on experience on the topics covered in the CSC class. Students will learn to use a text editor to write their programs and how to compile and run them. Students will be required to develop programs applying learned concepts such as object-oriented design, data types, decision-making, iteration, arrays, methods, inheritance and interfaces.
Co-requisite: CSCL This course is the follow-up of CSC Additional topics in Java are covered in this course. Then the emphasis shifts to object-oriented analysis and design.
Co-requisite: CSC Students explore, design, program, and analyze laboratory exercises of object oriented programming in a supervised setting. Laboratory submissions include not only software and data, but also short reports that are graded both for technical content and writing mechanics.
Problem-solving methods, algorithm development, debugging and documentation in the C programming language with emphasis on the UNIX operating system environment. This course covers advanced topics for Java programmers. These topics include multithreading, collections, networking, advanced GUIs, database connectivity and JavaBeans. Students will be required to work on a project involving advanced Java programming. This course is designed for students who have computer programming experience and who want to write Web applications. Students will learn the basic programming skills and languages that are needed to implement distributed Web applications.
Terminology and understanding of functional organizations and sequential operations of a digital computer.
Topics include machine level representations of data, arithmetic operations, machine and assembly language, memory system organization, and functional organization. The MIPS assembly language is taught for the course projects. Also, the compilation and the assembly processes, and linking and loading are covered. Introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work.