Showing 16 of 16 results
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Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.

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Not Enrolled

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.

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Not Enrolled

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

185
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Not Enrolled

This is Practical Course of Database Systems. This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions.

181
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Not Enrolled

This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions.

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Not Enrolled

This course assumes that students coming from different academic backgrounds do not possess prior knowledge and understanding of computer science. It will provide basic knowledge about computers and processing information through computers. It includes topics related to computer hardware and software. Major computer science subjects will be delivered to the students which they will study throughout their degree program. These major subjects include computer architecture, software engineering, data structures, operating system, computer networks and databases.

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Not Enrolled

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.

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209
3
Not Enrolled

This course assumes that students coming from different academic backgrounds do not possess prior knowledge and understanding of computer science. In Lab students will be provided with MS Office Orientation with multiple assignments. Then they will be provided with logical building and basic programming skills using RAPTOR and SNAP with Scratch as programming language.

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Not Enrolled

This course on software engineering covers design and implementation of medium-scale software systems, using web applications as a platform. In the course, students learn the fundamentals of structuring a web application and writing modular code, with an emphasis on conceptual design to achieve clarity, simplicity, and modularity. Topics also include functional programming, relational databases, and security.

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Description

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All students at UET use computers extensively during their studies here, and most likely, will continue to use them even after they graduate. The subject will provide general overview of computing and develop the problem solving skills using Visual basic or C++ programming. Key components of the course will be the series of labs and pre-lab assignments that are geared towards introducing students to applications of computing in different domains.

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Closed

All students at UET use computers extensively during their studies here, and most likely, will continue to use them even after they graduate. The subject will provide general overview of computing and develop the problem solving skills using Visual basic or C++ programming. Key components of the course will be the series of labs and pre-lab assignments that are geared towards introducing students to applications of computing in different domains.

140
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Closed

This is Practical Course of Database Systems. This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions.

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This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions.

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189
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Closed

This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering. Topics spanned root finding, interpolation, approximation of functions, integration, differential equations, direct and iterative methods in linear algebra.

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