Itü bilgisayar mühendisliği yüksek lisans ders programı
Grafik Kursu. Estetisyenlik Kursu.
Requirement and problem domain analysis. Object oriented design Using the UML to express software artifacts. Introduction to real-time systems. Analysis and design methodologies. Definition of task and process in real-time systems.
Itü bilgisayar mühendisliği yüksek lisans ders programı
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This course sits at the intersection of fields such as microprocessors, digital design, operating systems, assembly programming, software design, and industrial automation. Interactive evolution.
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Toggle navigation. Akademik Takvim. MIT Open Courseware. Initial course in mathematical foundations of hardware systems, propositional logic, inference and proving techniques, sets and relations defined over sets, boolean algebra, binary numbers, combinational logic design, synchronous sequential circuit analysis and synthesis. MİB mimarisi.
Itü bilgisayar mühendisliği yüksek lisans ders programı
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Real-time operating systems. NoSQL database systems. The hierarchical and graph data management techniques. The course also provides experience of scientific and engineering techniques of design, experimentation, writing, and critical review of literature. The purpose of this seminar is to equip the student enrolled in a program with a thesis with the necessary background for preparing a thesis. R programlama dili. The basics in approximation algorithms, randomization, streaming algorithms, and external-memory algorithms will be explored. This course introduces basic concepts and algorithms in image analysis: The course contains: image sensing and acquisition, image enhancement in the Spatial and frequency domains; image restoration: noise removal, deblurring; color image processing; lossy and lossless image compression; Binary image processing, Morphological Image processing, Image segmentation: edge detection, region segmentation, watersheds, Image representation and description, object recognition. E-posta adresi. Order concept, its importance in computer science. The thesis has to be prepared in line with academic ethic rules, presented to and approved by a thesis committee.
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RDF ile ilgili teknolojiler. Different data visualization methods. Parameter control. Memory systems. Definition of timing constraints. Characterization of distributed systems and system transparencies are given. The XML related technologies. Constraint handling. This course aims to provide an understanding of the issues, technologies, and concepts underlying the vision of pervasive computing particularly in wireless networks , contextawareness, sensors, and programming for limited and mobile devices. Exploring selected advanced algorithms. Analysis and comparison schedulers.
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