Syllabus Application
EE 311
Introduction to Signal Processing and Information Systems
Faculty
Faculty of Engineering and Natural Sciences
Semester
Fall 2026-2027
Course
EE 311 -
Introduction to Signal Processing and Information Systems
Time/Place
Time
Week Day
Place
Date
15:40-16:30
Mon
FENS-L030
Sep 28-Dec 31, 2026
09:40-11:30
Tue
FENS-L055
Sep 28-Dec 31, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Basic:1, Engineering:5
Prerequisites
ENS 211
Corequisites
EE 311R
Course Type
Lecture
Instructor(s) Information
Çağlar Tunç
- Email: caglar.tunc@sabanciuniv.edu
Course Information
Catalog Course Description
Continuous-time Fourier analysis and transform. Sampling and continuous-/discrete-time signal representations. Basic communication concepts, modulation. Laplace transform, system response. Estimation, inference. Probability review and statistical modeling. Uncertainty and randomness in signals and systems. Hypothesis testing, detection. Random processes and power spectral density.
Learning Outcomes:
| 1. | Discuss the fundamental concepts in signal processing and information systems, |
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| 2. | Exhibit and express a unified view of problems in communication, control, and signal processing, |
| 3. | Describe the input-output and state-space characterization of linear time-invariant systems, |
| 4. | Correctly perform calculations involving continuous-time Fourier analysis, Laplace transforms, sampling, and the relationship between continuous-time and discrete-time representations, |
| 5. | Apply probabilistic models to estimation and detection problems, including MMSE/LMMSE estimation, hypothesis testing, Neyman?Pearson detection, |
| 6. | Understand and discuss the fundamentals of random signals and characterization through random process, |
| 7. | Perform computer simulations demonstrating main concepts in signal processing including sampling, transforms, and modulation, |
Course Objective
To provide a broad introduction to signal processing and information systems, following upon basic signals and systems knowledge. To provide exposure to basics and selected topics in communication, control, and random signals, with links to practical applications.
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