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.
Introduction to Signal Processing and Information Systems (EE 311)
2025 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
6
Çağlar Tunç caglar.tunc@sabanciuniv.edu,
Click here to view.
English
Undergraduate
ENS211
Formal lecture,Recitation
Interactive,Communicative,Project based learning
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| Data Science and Analytics | * | ||
| Data Science and Analytics | * | ||
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Mechatronics Engineering | * | ||
| Mechatronics Engineering | * | ||
| Microelectronics | * | ||
| Molecular Biology, Genetics and Bioengineering | * | ||
| Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) | * | ||
| Telecommunications | * |
CONTENT
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.
LEARNING OUTCOMES
- - discuss the fundamental concepts in signal processing and information systems,
- - exhibit and express a unified view of problems in communication, control, and signal processing,
- - describe the process of input-output characterization of linear time invariant systems,
- - correctly perform calculations involving transforms including continuous and discrete-time Fourier transforms, as well as Laplace and z-transforms,
- - perform computer simulations demonstrating main concepts in signal processing including sampling, transforms, and modulation.
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 5
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 5
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4
1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose. 5
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively. 4
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements. 4
5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 4
6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 3
7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 3
8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 4
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 30 |
| Quiz | 30 |
| Participation | 15 |
| Group Project | 25 |
RECOMENDED or REQUIRED READINGS
| Textbook |
Signals, Systems and Inference, Oppenheim, Alan, and George Verghese, Pearson, 2017. |
| Readings |
Introduction to Stochastic Signal Processing by I.Young and R. Ligteringen (online) WEB: https://sites.google.com/socraticsoftware.org/socraticsoftware/ |