Doç. Dr. Ersen Yılmaz E-posta:ersen@uludag.edu.tr Tel: (224) 294 2032 Adres: Elektronik Mühendisliği Bölümü 4. Kat, No:424
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Website:
http://home.uludag.edu.tr/~ersen
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Objective of the Course:
This course objective is to give fundamental principle and recent techniques in probability modelling in multidimensional decision space, statistical analysis, classifiacation and error analysis.
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Contribution of the Course to Professional Development
Provides the ability to reach and interpret the information about the field of study.
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Learning Outcomes:
1
Abilility to make literature review, follow and make technical presentation and write an article in academic level on Statistical Pattern Analysis and Classification.;
2
Abilility to use mathematics, science and engineering knowledge in advanced research on Statistical Pattern Analysis and Classification.;
3
Abilility to use software, hardware and modern measurement equipments required for the research studies in the field of expertise Statistical Pattern Analysis and Classification. ;
4
Abilility to find original ways and solutions by innovative and questioning thinking on Statistical Pattern Analysis and Classification.;
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Course Content:
Week
Theoretical
Practical
1
Statistical analysis and fundamentals on classification.
2
Multidimensional probability distributions.
3
Multidimensional probability distributions
4
Multidimensional statistical analysis.
5
Multidimensional statistical analysis.
6
Parametric classification.
7
Parametric classification.
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Midterm Exam and course review
9
Nonparametric classification.
10
Linear and Nonlinear classification.
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Classification using sequential and contextual information.
12
Classification using sequential and contextual information.
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Stochastic classification.
14
Stochastic classification.
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Textbooks, References and/or Other Materials:
1. Statistical Pattern Recognition, Second Edition, Wiley, 2002 2. Introduction to Statistical Pattern Recognition, Academic Press, 1990
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Measurement and evaluation is carried out according to the priciples of Bursa Uludag University Graduate Education Regulation.
Information
1 Midterm and 1 Final exams are held for evaluation and relative evaluation is applied.
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
5
70
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
28
28
Others
0
0
0
Final Exams
1
40
40
Total WorkLoad
208
Total workload/ 30 hr
6
ECTS Credit of the Course
6
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
