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Week
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Topics
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Study Metarials
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1
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Introduction, Turing test, a brief history of AI
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R1-Chapter-1
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2
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Knowledge acquisition, knowledge representation, inferencing
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R1-Chapter-3
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3
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Expert Systems
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R1-Chapter-5
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4
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Expert Systems and its applications-I
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R1-Chapter-5
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5
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Expert Systems and its applications-II
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R1-Chapter-5
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6
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Hybrid Neural Network and Expert Systems-I
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R1-Chapter-6
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7
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Hybrid Neural Network and Expert Systems-II
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R1-Chapter-6
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8
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Fuzzy Logic Theorem
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R2-Chapter-1
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9
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Fuzzy Logic and its applications-I (ANFIS)
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R2-Chapter-4
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10
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Fuzzy Logic and its applications-II (ANFIS)
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R2-Chapter-4
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11
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Genetic Algorithms
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R3-Chapter-1
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12
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Genetic Algorithms and its applications
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R3-Chapter-4
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13
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Project presentation-I
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14
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Project presentation-II
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Prerequisites
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-
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Language of Instruction
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Turkish
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Responsible
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Assist. Prof. Dr. Seda Şahin
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Instructors
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-
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Assistants
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-
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Resources
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R1-Russell, S., & Norvig. P. (1995). Artificial Intelligence A Modern Approach. (4th ed.). Prentice-Hall Inc.
R2- Timothy, J.R.(2010). Fuzzy Logic with Engineering Applications. (3rd ed.). John Wiley and Sons Ltd.
R3- Goldberg, D.E. (1989). Genetic Algorithms in Search Optimization and Machine Learning. (13th ed.). Addison Wesley.
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Supplementary Book
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-
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Goals
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The main aim of this course is to construct automated models to solve real world problems after learning theoretical background of the basic AI Methods and Fuzzy Logic Theorem.
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Content
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Introduction, Turing test, a brief history of AI, Knowledge acquisition, knowledge representation, inferencing, Expert Systems, Expert Systems and its applications-I, Expert Systems and its applications-II, Hybrid Neural Network and Expert Systems-I, Hybrid Neural Network and Expert Systems-II, Fuzzy Logic Theorem, Fuzzy Logic and its applications-I (ANFIS), Fuzzy Logic and its applications-II (ANFIS), Genetic Algorithms, Genetic Algorithms and its applications.
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Program Learning Outcomes |
Level of Contribution |
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1
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Acquires information by carrying out scientific research in the field of Electronics and Computer Engineering, evaluates the findings and makes comments
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4
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2
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Complements the restricted or incomplete information and applies it, unifies the multidisciplinary information
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3
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3
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Designs and implements a system meeting the requirements in the field of Electronics and Computer Engineering
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-
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4
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Makes an interpretation of a problem in the field of Electronics and Computer Engineering, develops models for solutions and applies innovative methods in these solutions
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3
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5
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Has comprehensive knowledge on the contemporary applied method and techniques used in the field of Electronics and Computer Engineering and their limitations
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-
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6
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Undertakes and implements analytic, simulation or experimental types of research and has the ability to solve the complex problems encountered there
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-
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7
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Can participate and assume responsibility in multidisciplinary task forces
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4
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8
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Observes the scientific, professional and ethical rules during data collection, its introduction and interpretation
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-
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9
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Be aware of recent advances and developments in the field of Electronics and Computer Engineering learns, analyses and applies them wherever needed
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-
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10
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Publishes his/her research findings verbally and in written forms in the national and international arena
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-
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