INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Information Technology Master
2011-2012

SYLLABUS
Code Name Level Year Semester
CEN 592 Pattern Recognition Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
7.5 0 English

Instructor Assistant Coordinator
Abdülhamit Subaşı, Prof. Dr. Abdülhamit Subaşı, Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
Present the key algorithms and theory that form the core of machine learning. Draw on concepts and results from many fields, including statistics, artifical intelligence, philosophy, information theory, biology, cognitive science, computational complexity, and control theory.

COURSE CONTENT
Week
Topic

    LABORATORY/PRACTICE PLAN
    Week
    Topic

      TEACHING/ASSESSMENT
      Description
      • Lectures
      • Presentation
      • Assignments
      Description (%)
      Method Quantity Percentage (%)
      Homework20
      Project20
      Midterm Exam(s)20
      Final Exam1
      Total: 0
      Learning outcomes
        TEXTBOOK(S)

          ECTS (Allocated based on student) WORKLOAD
          Activities Quantity Duration (Hour) Total Work Load
          Lecture (14 weeks x Lecture hours per week) 0
          Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
          Midterm Examination (1 week) 0
          Final Examination(1 week) 0
          Preparation for Midterm Examination 0
          Preparation for Final Examination 0
          Total Workload: 0
          ECTS Credit (Total workload/25): 0