Hardware Description Languages (EE 310)

2020 Spring
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
8.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
İlker Hamzaoğlu -hamzaoglu@sabanciuniv.edu,
Formal lecture,Interactive lecture,Laboratory
Interactive,Communicative,Task based learning
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Introduction to hardware description languages; VHDL fundamentals, behavioral and structural models; syntax and basic rules; design entry; behavioral simulation; logic synthesis and synthesizeable code development; design mapping to standard cells and/or field programmable gate array (FPGA).


This course teaches designing digital circuits, behavioral and RTL modeling of
digital circuits using Verilog HDL, verifying these models, and synthesizing RTL
models to standard cell libraries and FPGAs. Students gain practical experience
by designing, modeling, implementing and verifying several digital circuits.


By the end of this course, students should be able to:
Describe hardware description languages (HDL) and Verilog HDL;
Design digital circuits;
Write behavioral models of digital circuits;
Write register transfer level (RTL) models of digital circuits;
Verify behavioral and RTL models;
Describe standard cell libraries and FPGAs;
Synthesize RTL models to standard cell libraries and FPGAs;
Implement RTL models on FPGAs and verify their implementations


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. 1

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3

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

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 4

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. 4

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. 4

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3

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. 2

1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. or (b) Design and analyze communication networks and systems, signal processing algorithms or software 5

1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 3

2. Demonstrate knowledge of discrete mathematics and data structures. 2

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 1

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

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. 1

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. 3


  Percentage (%)
Final 30
Midterm 35
Assignment 35



A Verilog HDL Primer, Jayaram Bhasker, Star Galaxy Publishing, Third Edition
Verilog HDL Synthesis: A Practical Primer, Jayaram Bhasker, Star Galaxy Publishing