KIBRIS İLİM ÜNİVERSİTESİ
CYPRUS SCIENCE UNIVERSITY |
| INSTITUTE OF GRADUATE STUDIES-COMPUTER ENGINEERING (MS) (ENGLISH) (Without Thesis) |
| SINIF: 1 - DÖNEM: 1 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| CMP516 | ADVANCED NEURAL NETWORK
( ADVANCED NEURAL NETWORK ) | Z | 3 | 0 | 3.0 | 6.0 | 3 | Derin öğrenmenin yükselişini yönlendiren önemli teknolojik eğilimler; tamamen bağlı derin sinir ağları oluşturmak, eğitmek ve uygulamak; verimli (vektörize) sinir ağları uygulamak; bir sinir ağının mimarisindeki temel parametreleri belirlemek; ve derin öğrenmenin uygulanması. | The significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. |
| CMP520 | LİNEAR AND NONLİNEAR OPTİMİZATİON
( LİNEAR AND NONLİNEAR OPTİMİZATİON ) | Z | 3 | 0 | 3.0 | 7.0 | 3 | | |
| CMP530 | ADVANCED STATİSTİCS
( ADVANCED STATİSTİCS ) | Z | 3 | 0 | 3.0 | 6.0 | 3 | | |
| MAT502 | ADVANCED MATHEMATİCS II
( ADVANCED MATHEMATİCS II ) | Z | 3 | 0 | 3.0 | 6.0 | 3 | | Recognize attributes of functions and also their inverses;
Comprehend rational, polynomials, transcendental (trigonometric, logarithmic, exponential) and inverse-trigonometric functions;
Distinguish range, domain and how to draw graphs, apply function, its first derivative and also second derivative;
Apply the definition of limits and continuity to solve the problem and also apply the procedures of differentiation which are consist of implicit and logarithmic differentiation; |
| CMP513 | MACHINE LEARNING
( MACHINE LEARNING ) | S | 3 | 0 | 3.0 | 8.0 | 3 | Makine öğrenimi ile analitik model oluşturmayı otomatikleştirmek için veri analizi. Sistemlerin verilerden öğrenebilmesini, kalıpları tanımlayabilmesini ve minimum insan müdahalesi ile karar verebilmesini sağlamak. | Data analysis for automating analytical model creation with machine learning. Ensuring that systems can learn from data, identify patterns and make decisions with minimal human intervention. |
| CMP514 | ADVANCED DATA MINING
( ADVANCED DATA MINING ) | S | 3 | 0 | 3.0 | 8.0 | 3 | Veri madenciliğini kullanarak anlamlı kalıplar ve eğilimler toplamak için büyük bilgi bloklarının araştırılması ve analizi. Veritabanı pazarlaması, kredi riski yönetimi, sahtekarlık tespiti, spam filtreleme ve hatta kullanıcıların düşüncelerini veya fikirlerini ayırt etmek gibi çeşitli şekillerde kullanımı. | Research and analysis of large blocks of information to collect meaningful patterns and trends using data mining. Its use in various ways such as database marketing, credit risk management, fraud detection, spam filtering, and even to distinguish users' thoughts or ideas. |
| CMP525 | PARALLEL PROCESSING
( PARALLEL PROCESSING ) | S | 3 | 0 | 3.0 | 6.0 | 3 | Paralel işlemenin temellerini tanıtmak, paralel mimarileri anlamak, paralel sistemlerin ölçeklenebilirliğini hesaplamak, paralellik türlerini anlamak, paylaşılan bellek mimarilerinde bellek / önbellek tutarlılığı sorununu anlamak, önbellek tutarlılığı ve bellek-önbellek tutarlılığı algoritmalarını anlamak, paralel mimarilerde ara bağlantı ağı modellerini öğrenmek | Introduce to basics of parallel processing, understanding parallel architectures, computing scalability of parallel systems, understanding types of parallelism, understanding memory/cache coherency problem in shared memory architectures, understand cache coherence and memory-cache coherence algorithms, learning interconnection network models in parallel architectures |
| SINIF: 1 - DÖNEM: 2 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| CMP515 | RESEARCH METHODOLOGY
( RESEARCH METHODOLOGY ) | Z | 3 | 0 | 3.0 | 8.0 | 3 | | In-depth knowledge and understanding of mathematics and science in engineering problems Ability to analyze and interpret data regarding complex engineering systems within multidisciplinary context. Ability to identify, formulate and solve unfamiliar complex engineering problems Ability to apply systems thinking in complex problem solving Ability to engage in independent lifelong learning, to undertake further study autonomously Ability to conduct searches of literature, to pursue detail complex technical issues and to use diverse methods to communicate clearly their conclusions as a member of team |
| MAT501 | ADVANCED MATHEMATİCS
( ADVANCED MATHEMATİCS ) | Z | 3 | 0 | 3.0 | 7.0 | 3 | | The course is designed to introduce the basic mathematical concepts such as functions, equations, differentiation and integration. Nowadays, calculus as a mathematical study of change, prepares students with needed foundation, comprehension and skills which are required to be prosperous in university disciplines and courses such as chemistry, physics, business, computer science and engineering. Limits, continuty, derivatives, antiderivatives and differention techniques will be taught. |
| CMP511 | EVOLUTIONARY OPTIMIZATION STRATEGIES
( EVOLUTIONARY OPTIMIZATION STRATEGIES ) | S | 3 | 0 | 3.0 | 8.0 | 3 | Öne çıkan algoritmalar şunları içerir: genetik algoritmalar, genetik programlama, karınca kolonisi optimizasyonu, parçacık sürüsü optimizasyonu, diferansiyel evrim, biyocoğrafyaya dayalı optimizasyon ve dışbükey optimizasyon teknikleri. | Prominent algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization and convex optimization techniques. |
| CMP519 | ADVANCED CRYPTOGRAPHY
( ADVANCED CRYPTOGRAPHY ) | S | 3 | 0 | 3.0 | 8.0 | 3 | | |
