Name of the lecturer Doç. Dr. Selma Ayşe ÖZEL

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1 Y.L. CENG-541 Information Retrieval Systems MASTER Doç. Dr. Selma Ayşe ÖZEL Information retrieval strategies: vector space model, probabilistic retrieval, language models, inference networks, extended Boolean retrieval, latent semantic indexing. Methods used for retrieval performance improvement: relevance feedback, clustering, passage based retrieval, n- grams, regression analysis, thesauri, semantic networks, parsing, inverted index, query processing techniques, signature files, duplicate document detection. Cross language information retrieval. Parallel and distributed information retrieval. Image and multimedia retrieval. 1

2 Y.L. CENG-552 Data Mining MASTER Doç. Dr. Selma Ayşe ÖZEL Introduction to Data Mining. Data preprocessing techniques including data summarization, data cleaning, data integration and transformation, data reduction and data discretization. Mining frequent patterns, associations and correlations. Classification: decision trees, naïve bayes classifier, rule-based classification, neural networks, support vector machines, associative classification, lazy learners. Prediction. Accuracy and error measures. Ensemble methods. Clustering: partitioning methods, hierarchical methods, density based methods, grid based methods, model based methods, outlier analysis. 2

3 Y.L. CENG-708 Advanced Topics in Data Mining Doç. Dr. Selma Ayşe ÖZEL Supervised, unsupervised and partially supervised learning. Web mining: social network analysis, web crawling, wrapper generation, information integration, opinion and sentiment analysis, web usage mining, text and document clustering, automated recommender systems. It is assumed that every student is familiar with the basic data mining topics (clustering, classification, and association rules) and has some experience with programming and one or more data mining tools (R, RapidMiner, Weka, XLMiner, etc.). 3

4 CENG-0001 Soft Computing Yrd. Doç. Dr. Çiğdem İnan ACI Fuzzy Logic: Crisp set and Fuzzy set, Basic concepts of fuzzy sets, membership functions. Basic operations on fuzzy sets, Properties of fuzzy sets, Fuzzy relations. Propositional logic and Predicate logic, fuzzy If Then rules, fuzzy mapping rules and fuzzy implication functions, Applications. Neural Networks: Basic concepts of neural networks, Neural network architectures, Learning methods, Architecture of a back propagation network, Applications. Genetic Algorithms: Basic concepts of genetic algorithms, encoding, genetic modeling. Hybrid Systems: Integration of neural networks, fuzzy logic and genetic algorithms. 4

5 CENG-0002 Principles of artificial intelligence MASTER Yrd. Doç. Dr. Çiğdem İnan ACI Problem Solving, Solving Problems by Searching, Beyond Classical Search, Adversarial Search, Constraint Satisfaction Problems, Knowledge and Reasoning, Logical Agents, First-Order Logic, Inference in First-Order Logic, Classical Planning, Planning and Acting in the Real World, Knowledge Representation, Uncertain Knowledge and Reasoning, Quantifying Uncertainty, Probabilistic Reasoning, Probabilistic Reasoning over Time, Making Simple Decisions, Making Complex Decisions, Learning from Examples, Knowledge in Learning, Learning Probabilistic Models, Reinforcement Learning, Communicating, Perceiving, and Acting, Natural Language Processing, Natural Language for Communication, Perception. 5

6 CENG-0004 Multi-Agent Systems Yrd. Doç. Dr. Çiğdem İnan ACI Fundamentals Of Agents And Multi-Agent Systems, Intelligent Agents, Basic Coordination, Distributed Cognitive Abilities, Decision Theory; Making Simple Decisions Under Uncertainty; Risk; Risk Averseness, Risk Neutrality; Sequential Decisions Under Uncertainty, Markov Decision Problems, Agent- Agent And Agent-Human Interactions, Multi- Agent Learning. 6

7 CENG-568 Intelligent Optimization Techniques MASTER Yrd. Doç. Dr. Umut ORHAN K-Means, K-NN, Decision trees, ID3, C4.5, Bayessian and Naïve Bayes, Least squares and linear regression, perceptron, adaline, least mean squares, levenberg-marquartd and artificial neural networks, Reinforcement Learning, Q-Learning, TD-Learning, Learning Vector Quantization Network, Radial Basis Function Network, Lagrange Method and support vector machine, Principal component Analysis, Linear Discriminant Analysis. 7

8 CENG-559 Fuzzy Logic MASTER Yrd. Doç. Dr. Umut ORHAN The concept of fuzzy, fuzzy sets, fuzzy membership functions, the feature of fuzzy sets, theoretical operations in fuzzy set, fuzzy relations, uncertainly model fuzziness, fuzzy rule based systems and fuzzy decision making, fuzzy system modelling, fuzzy clustering, neural network approach to fuzzy inference systems, Matlab FIS and ANFIS applications and samples. 8

9 CENG-0006 Crytography and Data Security Yrd. Doç. Dr. Umut ORHAN Classical cryptography, abstract algebra, information theory and Shannon, Block Ciphers and the AES, hash functions, RSA crypto system, Public-key crypto, signature schemes, pseudorandom number generators, identification schemes and entity authentication, key distribution, key agreement and secret sharing schemes, computational complexity. 9

10 CENG-0003 Advanced Theory of Computation Yrd. Doç. Dr. Umut ORHAN Finite automata and regular languages, contextfree languages and pushdown automata, turing machines, and the crurch-turing thesis, decidability, reducibility, P and NP, randomized algorithms, cryptography, zero-knowledge, quantum computing. 10

11 CENG-0005 Advanced Data Compression MASTER Doç. Dr. Mustafa ORAL Introduction to Data Compression: Background, Images, Videos, Information Theory, Quality, Metrics, Lossless Compression: Huffman, Arithmetic, Run-Length, Bit-Plane, DPCM, Lempel-Ziv, BWT, and Multiresolution Compression Techniques, Lossy Compressions: Transform Coding (Fourier, DCT, Haar, Welsh, and Hadamard). Scalar Quantization: Uniform, Optimal and Hybrids. Video compression: Inter- Frame Compression, and motion compensation. Compression standarts: JPEG, MPEG, and others. Other Applications of Compression Techniques. 11

12 CENG-0007 Advanced Swarm Intelligence Doç. Dr. Mustafa ORAL Models and concepts of life and intelligence: The mechanics of life and thought, artificial life in computer programs. Symbols, Connections, and optimization by trial and error: Problem solving and optimization, High-Dimensional cognitive space and word meanings, binary optimization, optimizing with real numbers. The social organisms: Views of evolution, flocks, Herds, schools, and swarms, social behaviour as optimization. Evolutionary computation theory and Paradigms: Genetic algorithms, evolution strategies, finite state machine evolution, function optimization, humans: social psychology, simulating social influence, culture in theory and practice. Applications. 12

13 CENG-0011 Wireless Networks and Security Doç. Dr. Fatih AKAY Wireless links and network characteristics, wifi: Wireless LANs, Cellular Internet Access, Mobility Management: Principles, Mobile IP, Managing Mobility in Cellular networks, What is network security?, Principles of cryptography, message integrity, end-point authentication, securing s, securing tcp connections: SSL, Network-Layer Security: IPsec, Securing Wireless LANs. 13

14 CENG-0010 Advanced Topics in Computer Networks Doç. Dr. Fatih AKAY Multimedia networking applications, streaming stored audio and video, making the best of the Best-Effort service, protocols for real-time interactive Applications, providing multiple classes of service, providing quality of service guarantees, what is network management? The infrastructure for network management, the internet-standart management framework, ASN.1 14

15 CENG-0009 Advanced Project Work Academic staff A theoretical and/or experimental investigation of variances advanced topics in computer engineering. 15

16 CENG-0008 Advanced Project Work Academic staff A theoretical and/or experimental investigation of variances advanced topics in computer engineering. 16

Ajloun National University

Ajloun National University Study Plan Guide for the Bachelor Degree in Computer Information System First Year hr. 101101 Arabic Language Skills (1) 101099-01110 Introduction to Information Technology - - 01111 Programming Language