İngilizce İçeriği : Fundamental Concepts of Computer Architecture,  Effects of Technological Innovations and Improvements on on Computer Architecture, Memory Architectures,  Cache Memory, Virtual Memory and Shared Memory Architectures, RISC Architecture, Vector Processors, Array Processors,  MultiProcessor Systems.

İngilizce İçeriği : Advanced computer graphics process, graphical software metots, making graphical interface, image process technics, image detect and recognition, edge detection, finger print recognition, face recognition, license Plate Recognition, applications for image recognition.

İngilizce İçeriği : Advanced design, verification and layout methods for digital VLSI circuits.

İngilizce İçeriği :Fundamental concepts like structures and phases (Lexical Analysis, Syntax Analysis, Semantic Analysis) of a compiler. Regular expressions and language specification by formal languages. Program analysis and basic program optimization techniques, data-flow analysis and optimizations. Symbol tables and type-checking. Intermediate-code generation and Machine-code generation. Register allocation. Design and implementation of a compiler.

İngilizce İçeriği : Models of artificial neural networks, biological information processing systems. Feedforwad Neural Networks. Feedback Neural Networks. Learning methods. Classification methods. Associative memories. Optimization problems. Cellular Neural Networks. Stability and instability analysis of Neural Networks.

İngilizce İçeriği : Number Representations, Fixed-Point Number Representation, Floating-Point Number Representation , The Current State of Computer Arithmetic Algorithms, Arithmetic Addition and Subtraction Algorithms, Fast Addition Techniques, Multiplication Through Addition, High-Speed Multiplication Techniques , Basic Division Schemes, Sequential Division and Fast Division Techniques, Division Through Multiplication, Square-Root Computing Algorithms, CORDIC Algorithms, Exponential Function Evaluations.

İngilizce İçeriği : Commercial and Scientific Applications of Wireless Sensor Networks, Basic Wireless Sensor Technology, Wireless Sensors Networks Protocols: Physical Layer, Medium Access Control Protocols for Wireless Sensor Networks, Sensors Network Protocols: Routing Protocols, Transport Control Protocols for Wireless Sensors Networks, Middleware for Sensor Networks, Network Management for Wireless Sensor Networks, Operating Systems for Sensor Networks, Performance and Traffic Management Issues.

Türkçe İçeriği : Bu derste Yazılım Mühendisliği konuları doğrudan bir proje kapsamında ele alınacaktır. Proje bazlı olarak düşünülen bu dersin temel hedefi yüksek lisans öğrencilerinin başta TÜBİTAK olmak üzere, çeşitli birimlere bir yazılım proje teklifi hazırlması ve bu tarz bir projeyi adım adım geliştirmesini sağlayacak bilgi birikimine sahip olmalarıdır. Bu amaçla Yazılım geliştirme süreçleri karşılaştırmalı olarak proje bazlı incelenecektir.

İngilizce İçeriği : In this course, software engineering topics will be covered within a project perspective. This will be a project driven course where the aim of the course is to teach graduate students to prepare a project proposal especially a TUBITAK project proposal and develop such a project. For that purpose software project development phases will be covered in a comparative way.

İngilizce İçeriği : Number Systems, Floating-Point Numbers, Current State of Arithmetic Circuit Implementations, Logic Circuit Design For Binary Arithmetic Operations, Design of High Speed and Paralel Binary Arithmetic-Logic Units, Design of Floating-Point Arithmetic Units, Arithmetic Circuits Improved for Representation of Negative Numbers.  

İngilizce İçeriği : Fuzzy arithmetic , fuzzy numbers, fuzzy systems, some applications, programming fuzzy systems, discussion.

İngilizce İçeriği : Single stage and multistage amplfiers, current mirrors, noise, feedback, operational amplifiers, stability, analog filters, nonlinearity and mismatch .

İngilizce İçeriği : Problem solving and search algorithms, graph theory, Constraint Satisfactory Problems (CSP). Learning algorithms and machine learning. Logic and logic programming. Language understanding. Bayesian networks, learning with hidden variables, decision making under uncertainty and Markov Decision Processes. Decision trees, neural nets and SVM learning algorithm.   

İngilizce İçeriği : Theory of matrices and vectors, linear vector spaces and operators, modelling of linear systems, state space analysis of time invariant linear systems and time varying systems, Lyapunov stability theorems, controllability and observability of linear systems, dynamical analysis of discrete-time linear systems.

İngilizce İçeriği : Paralel Computer Architectures, Instruction Level Parallelism ILP Processors, Pipeline Processors, Superscaler Processors, SIMD (Single Instruction-Multiple Data) Architecture, MIMD (Multiple Instruction-Multiple Data) Architecture , Data-Paralel Architectures, Neural Architecture, Multithreated Architectures, Distributed Memory and Shared Memory Architectures, I/O Architectures.