CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Web Mining BBY611 FALL-SPRING 3+0 E 10
    Learning Outcomes
    1-Defines data and information types on the web.
    2-Explains data structures.
    3-Selects the appropriate tools and data structure for analysis.
    4-Generates, analyses, interprets and evaluates patterns in web resources.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14342
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2015555
    Project2018080
    Laboratory 0000
    Final exam (exam + preparation) 6017070
    0000
    Total Workload (hours)   289
    Total Workload (hours) / 30 (s)     9,63 ---- (10)
    ECTS Credit   10
  • Course Content
  • Week Topics Study Metarials
    1 Introduction and course presentation R1, R2, R3, SR1 and SR2
    2 Data mining R1, Chapter 1
    3 Data mining process and models R1, Chapter 1
    4 Text Mining R3, Chapter 1
    5 Text Mining process and models R3, Chapter 2
    6 Web mining R3, Chapter 3 and SR1
    7 Tools R3, Chapter 3 and SR1
    8 Business understanding R1, Chapter 2
    9 Data understanding R1, Chapter 2
    10 Data preparation and processing R1, Chapter 2
    11 Models 1 R1, Chapter 3, R2
    12 Models 2 R1, Chapter 3, R2
    13 Model evaluation R3, SR2
    14 Model Interpretation R3, SR2
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Kasım Binici
    Instructors

    1-)10674 10674 10674

    Assistants -
    Resources R1. Akpınar, H. (2014). Data: Veri Madenciliği Veri Analizi. Papatya. R2. Binici, K. (2016). Kütüphane ve Bilgi Bilimi Çalışmalarında Dönemsel Konu Analizi. (Yayımlanmamış doktora tezi). İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul. R3. Zhang, Q., Segall, R. ve Cao, M. (2011). Visual analytics and interactive technologies data, text, and web mining applications. Hershey, PA: Information Science Reference.
    Supplementary Book SR1. Golbeck, J. (2013). Analyzing the social web. Amsterdam: Morgan Kaufmann. SR2. Stankovi?, R. S. ve Astola, J. (2011). From Boolean logic to switching circuits and automata: towards modern information technology. Studies in computational intelligence. Berlin: Springer Verlag.
    Goals In the course, information discovery procedures and pattern extraction methods will be taught. Within the scope of the course, it is aimed to analyse the text and data structures on the web with the approach of web mining.
    Content In the course, information discovery procedures and pattern extraction methods will be taught.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Graduates have expert level theoretical and practical professional knowledge and they keep developing it. 3
    2 Graduates, either as an individual or as a team member, are able to identify problems in the field of information management, create solutions and realize these solutions -
    3 Provision of sensitivity training for social, economic and cultural changes with ability of making analysis in terms of professional perspective. -
    4 Graduates are knowledgeable about scientific research methods and techniques in advanced level. 3
    5 Graduates have the ability to interprete, evaluate and use theoretical and practical information in the field of information management analytically. Can do scientific research and project contributing to discipline. -
    6 To be able to make scientific researches and projects that will contribute to the field literature by obtaining the skills of analysis, interpretation and evaluation in the field of information and document management. 3
    7 Graduates have the ability to lead learning orientation and to make critical evaluation on knowledge and skills in the field of information management. -
    8 Graduates have the ability to pursue, evaluate and interpret developments in the field of information management nationally and internationally. 3
    9 Graduates can improve the ability and capacity of systematic thinking. 3
    10 Graduates are capable of communicating research results orally, visually and textually. 4
    11 Graduates recognize products, systems and models related with information and communication technologies and enhancing use of them. 5
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