Syllabus Application
EE 568
Detection and Estimation Theory
Faculty
Faculty of Engineering and Natural Sciences
Semester
Fall 2025-2026
Course
EE 568 -
Detection and Estimation Theory
Time/Place
Time
Week Day
Place
Date
16:40-18:30
Mon
FENS-L030
Sep 29, 2025-Jan 3, 2026
08:40-09:30
Tue
FENS-L029
Sep 29, 2025-Jan 3, 2026
Level of course
Masters
Course Credits
SU Credit:3, ECTS:10
Prerequisites
EE 550 and EE 550
Corequisites
-
Course Type
Lecture
Instructor(s) Information
Hüseyin Özkan
- Email: hozkan@sabanciuniv.edu
Course Information
Catalog Course Description
Principle of estimation, detection and time series analysis. Estimation: Linear and nonlinear minimum mean squared error ,estimation and other strategies. Detection: simple, composite, binary and multiple hypotheses, Neyman-Pearson and Bayesian approaches. Time series analysis: Wiener, Kalman filtering , prediction and modal Analysis.
Course Learning Outcomes:
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Course Objective
The goal of this course is to introduce the students to the theory and techniques of modern estimation and detection theory together with time series analysis.
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