BILL 7211		Soft Computing				3+0+0	4
Year / Semester		Spring Term
Level of Course		Post graduate
Status		Elective
Department		Computer Engineering
Prerequisites and co-requisites		N/A
Mode of Delivery		Face to face
Contact hours		14 weeks
Lecturer		Asst. Prof. Dr. Murat Aykut
Co-Lecturer
Language of instruction		Turkish
Internship		N/A
Course Syllabus
Week	Subject						Related Notes / Files
Week 1	Introduction: What is Soft Computing, Soft Computing Techniques, Types of Problems, Modeling the Problem, Hazards of Soft Computing
Week 2	Artificial Neural Networks: Artificial Neuron, Multilayer Perceptron, Training, Issues in ANN, Types of ANN
Week 3	RBF network, Learning Vector Quantization, Self-Organizing Maps, Recurrent Neural Networks, Hopfield Neural Networks
Week 4	Fuzzy Systems: Fuzzy Logic, Membership Functions, Fuzzy Logical Operators, More Operations
Week 5	Fuzzy Inference Systems, Type-2 Fuzzy Systems, Other Sets, Fuzzy Control, Fuzzy Clustering
Week 6	Evolutionary Algorithms: Genetic Algorithms
Week 7	Fitness Scaling, Selection, Mutation, Crossover
Week 8	Other Genetic Operators, Convergence, Diversity, Grammatical Evolution
Week 9	Midterm exam
Week 10	Particle Swarm Optimization, Ant Colony Optimization, Metaheuristic Search, Traveling Salesman Problem
Week 11	Hybrid Systems: Evolutionary Neural Networks, Evolving Fuzzy Logic, Fuzzy ANN, Modular Neural Networks
Week 12	Neuro Fuzzy Systems: Cooperative Neuro Fuzzy Systems, Neural Network-Driven Fuzzy Reasoning, Hybrid Neuro-Fuzzy Systems, Construction of Neuro-Fuzzy Systems
Week 13	Support Vector Machines: Risk Minimization Principle, VC Dimension, Structural Risk Minimization, Linear Soft Margin Classifier, The Nonlinear SVM
Week 14	Probabilistic Reasoning: Bayes Networks, Elements of Probability and Graph Theory, Decompositions, Evidence Propagations, Learning Graphical Models
Week 15	Term project
Week 16	Final exam
Textbook / Material
1	Shukla, A., Tiwari, R. ve Kala, R., Real Life Applications of Soft Computing, CRC Press, 2010, 686 pages.
Recommended Reading
2	Karray, F. O. ve De Silva, C. W., Soft Computing and Intelligent Systems Design: Theory, Tools and Applications, Addison Wesley, 2004, 584 pages.
3	Kruse, R., Borgelt, C., Klawonn, F., Moewes, C., Steinbrecher, M. ve Held, P., Computational Intelligence: A Methodological Introduction, Springer, 2013, 492 pages.
4	Kecman, V., Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models, A B