Itü bilgisayar mühendisliği yüksek lisans ders programı

Grafik Kursu. Estetisyenlik Kursu. E-posta adresi. Rigorous analysis of the time and space requirements of important algorithms, including worst case, average case, and amortized analysis.

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. Dependent and independent tasks. Definition of timing constraints.

Itü bilgisayar mühendisliği yüksek lisans ders programı

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The XML related technologies.

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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. Memory and memory expansion.

Itü bilgisayar mühendisliği yüksek lisans ders programı

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Range searching, point location, segment intersection and ray shooting. Parameter control. Performance of computational geometry algorithms. Hassas kesme kotarma. Characterization of distributed systems and system transparencies are given. Application to recursive functions. Very long instruction word processors. Different data analysis methods. Rigorous analysis of the time and space requirements of important algorithms, including worst case, average case, and amortized analysis. E-posta adresi. MapReduce mimarisi. Permutation functions and Polya theorem. Superpipelined processors. XML ile ilgili teknolojiler.

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The data warehousing technologies. Graph data mining techniques in different contexts. Definition of task and process in real-time systems. Convex hulls, triangulate polygons, lowdimensional linear programming and Voronoi diagrams. The basics in approximation algorithms, randomization, streaming algorithms, and external-memory algorithms will be explored. Fitness approximation. Cache consistency in multiprocessor systems. Data collection methods. Rigorous analysis of the time and space requirements of important algorithms, including worst case, average case, and amortized analysis. Different data visualization methods. Processing large scale streaming data. The thesis has to be prepared in line with academic ethic rules, presented to and approved by a thesis committee. Noether order, induction principles. The XML related technologies. 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.