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Code EE 313
Term 201801
Title Introduction to Communication Systems
Faculty Faculty of Engineering and Natural Sciences
Subject Electronics Engineering(EE)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Ozgur Gurbuz -ogurbuz@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
 
Programs\Type Required Core Elective Area Elective
BA- Political Science
BA-Cultural Studies
BA-Cultural Studies
BA-Economics
BA-Economics
BA-International Studies
BA-International Studies
BA-Management
BA-Management
BA-Social & Political Sciences
BA-Visual Arts&Visual Com.Des.
BS-Biological Sci.&Bioeng.
BS-Computer Science & Eng.
BS-Computer Science & Eng.
BS-Electronics Engineering *
BS-Electronics Engineering *
BS-Manufacturing Systems Eng.
BS-Materials Sci. & Nano Eng. *
BS-Materials Science & Eng. *
BS-Mechatronics *
BS-Mechatronics *
BS-Microelectronics *
BS-Molecular Bio.Gen.&Bioeng
BS-Telecommunications *
Prerequisites
(only for SU students)		 ENS211
Mode of Delivery Formal lecture,Recitation,Laboratory
Planned Learning Activities Communicative,Task based learning,Guided discovery
Content

Analog and digital modulation and demodulation theory. Review of probability theory and stochastic processes. Statistical characterization of noise and communication channels. Performance of communication systems in the presence of noise.

Objective

The aim of this course is to introduce the students with the fundamentals of analog communications, specifically with the essential tools for the design and analysis of analog communication systems. Topics include Fourier techniques in communication systems design and analysis, amplitude modulation (AM), frequency modulation (FM), phase modulation (PM), random signals and noise, behavior of analog communication systems under noise.
Learning Outcome

Analyze and design basic communications systems, particularly with application to noise-free analog communications.
Apply concepts and techniques from Fourier analysis to communication systems.
Compare and contrast the strengths and weaknesses of various communication systems.
Characterize random processes and apply probability/random process theory to formulate and solve communication problems.
Analyze the performance of analog communication systems under noise.
Programme Outcomes
 
Common Outcomes For All Programs
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. 4
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. 4
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
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
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science 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; choose and apply suitable analysis 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; possess knowledge of standards used in engineering applications; use information technologies effectively. 5
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 5
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 1
Electronics Engineering Program Outcomes Core Electives
1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 5
2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Mechatronics Engineering Program Outcomes Area Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 4
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 4
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 40
Exam 10
Group Project 15
Homework 5
Recommended or Required Reading
Textbook

Modern Digital and Analog Communication Systems, by B. P. Lathi, 4th Edition, Oxford Press, NY, 2010.
Readings

"Modern Digital and Analog Communication Systems," by B. P. Lathi, 3rd Edition, Oxford Press, NY, 1998

"Communication Systems Engineering," by John. G. Proakis and Masoud Salehi, 2th Edition, Prentice Hall, 2002.

"Communication Systems ," by Simon Haykin, 4th Edition, John Wiley& Sons, 2001.

"Communication Systems," by A. Bruce Carlson, 3rd Edition, New York : McGraw-Hill, c1986.

"Digital Communications: Fundamentals and Applications," by B. Sklar, Prentice Hall, 2001 (Second Edition).