Syllabus Application  
							
						Introduction to Signal Processing and Information Systems 
 EE 311
						
                                Faculty:
                                Faculty of Engineering and Natural Sciences
                            
                            
                                Semester:
                                Fall 2025-2026
                            
                            
                                Course:
                                Introduction to Signal Processing and Information Systems - EE 311
                            
                            
                                Classroom:
                                FENS-L030,FENS-L055
                            
                            
                                Level of course:
                                Undergraduate
                            
                            
                                Course Credits:
                                 SU Credit:3.000, 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
                                Discrete-time Fourier transform. Discrete-time processing of continuous-time signals. Basic communication concepts, modulation, AM, FM, pulse amplitude modulation. Laplace transform, system response. Z-transform. Systems characterized by differential and difference equations. Control systems and feedback. Uncertainty and randomness in signals and systems.                             
                            Course Learning Outcomes:
| 1. | - discuss the fundamental concepts in signal processing and information systems, | 
|---|---|
| 2. | - exhibit and express a unified view of problems in communication, control, and signal processing, | 
| 3. | - describe the process of input-output characterization of linear time invariant systems, | 
| 4. | - correctly perform calculations involving transforms including continuous and discrete-time Fourier transforms, as well as Laplace and z-transforms, | 
| 5. | - 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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                        Course Materials
Resources:
                                Signals, Systems and Inference by Alan V. Oppenheim and George C. Verghese (any version should do)