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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The Master Thesis is a study that students enrolled in a program with a thesis have to carry out under the leadership of an advisor on a subject related to the program followed. Graph data mining techniques in different contexts. Data collection methods.

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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. Introduction to computer. Number systems, binary arithmetic and number representation.

Itü bilgisayar mühendisliği yüksek lisans ders programı

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Area 907

Analysis and comparison schedulers. Algorithmic paradigms such as divide and conquer, dynamic programming. Chinese remainder theorem and applications. The thesis has to be prepared in line with academic ethic rules, presented to and approved by a thesis committee. Parameter control. Group codes, their utilization in fault detection and correction. Major application areas. Performance models of pipelined processors. Introduction to real-time systems. Different data analysis methods. The new architectures and design decisions of Big Data processing systems.

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Superpipelined processors. Cache organization. Processing large scale streaming data. 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. Real-time operating systems. Definition of timing constraints. Efficient and effective graph mining solutions for different real world problems. The data warehousing technologies. Fault tolerance. The hierarchical and graph data management techniques.