CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Application of Artificial Intelligence in Engineering EEM444 SPRING 3+0 E 4
    Learning Outcomes
    1-Interprets the concept of artificial intelligence,lists artificial intelligence techniques
    2-Describes genetic algorithm approach
    3-Describes on the approach of artificial neural networks and Fuzzy Logic approach
    4-Applies artificial intelligence techniques in solving engineering problems
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14228
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)4012020
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6012525
    0000
    Total Workload (hours)   115
    Total Workload (hours) / 30 (s)     3,83 ---- (4)
    ECTS Credit   4
  • Course Content
  • Week Topics Study Metarials
    1 Artificial intelligence concept R1-Chapter-1
    2 Artificial intelligence techniques R1-Chapter-1
    3 MLP Artificial neural networks R1-Chapter-2
    4 LVQ artificial neural networks R1-Chapter-2
    5 SOM Artificial neural networks R1-Chapter-3
    6 Fuzzy Logic concept R1-Chapter-3
    7 Fuzzy Logic set concept R1-Chapter-4
    8 Fuzzy Logic Inference R1-Chapter-4
    9 Genetic algorithm structure R1-Chapter-5
    10 Genetic algorithm working shape R1-Chapter-5
    11 Genetic algorithm performance R1-Chapter-6
    12 Application of artificial intelligence techniques in solving engineering problems I R1-Chapter-6
    13 Application of artificial intelligence techniques in solving engineering problems II R1-Chapter-7
    14 Application of artificial intelligence techniques in solving engineering problems III R1-Chapter-7
    Prerequisites -
    Language of Instruction Turkish
    Responsible Asst. Prof. Dr. Zafer CİVELEK
    Instructors -
    Assistants -
    Resources R1-Russell, S. & Norvig,P. (2009). Artificial Intelligence, A Modern Approach (3rd Edition), Prentice Hall, United States.
    Supplementary Book -
    Goals To inform the students about the basic techniques and methods of artificial intelligence and to ensure that students have the ability to use artificial intelligence methods to solve practical problems.
    Content Artificial intelligence concept Artificial intelligence techniques MLP Artificial neural networks LVQ artificial neural networks SOM Artificial neural networks Fuzzy Logic concept Fuzzy Logic set concept Fuzzy Logic Inference Genetic algorithm structure Genetic algorithm working shape Genetic algorithm performance Application of artificial intelligence techniques in solving engineering problems
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Acquired the necessary skills in the areas of mathematics, applied sciences and his/her own field; has the ability to use collectively these concepts and applications of these fields to solve the problems of Electrical and Electronics Engineering, 3
    2 Has the ability to define, identify, formulate and solve the problems of Electrical and Electronics Engineering and selects the appropriate analytic solutions, modelling and applies them in an orderly manner, 5
    3 Analyses a system or a process and designs it under the given constraints meeting the requirements; applies the up to date design techniques in this direction, -
    4 Has the ability to choose and utilize the modern technologies and tools of engineering; has the ability to use information technologies and at least one software language (at the advanced European License level) in an efficient way, 2
    5 Has the ability to design experiments, carries out experiments, analyses results and makes comments on these results, -
    6 Has access to information and undertakes literature survey in this direction; has the ability to search and use databases and other data resources, 3
    7 Can participate and assume responsibility in multidisciplinary task forces, -
    8 Has the ability to communicate in Turkish verbally and in written forms; has the knowledge of one foreign language of European portfolio at the B1 level, -
    9 Conscious of lifelong learning; follows the science and technological developments and updates himself/herself continually, -
    10 Has the responsibility and conscious in his/her profession, 4
    11 Has the ability to conduct projects, has knowledge of the work procedures, health of workers, environment and safety procedures of work places; is aware of legal consequences of engineering applications, 4
    12 Is conscious of the consequences and effects of engineering solutions and applications in public and universal dimensions; is aware of innovation matters and has knowledge of the contemporary issues and problems, 3
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