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Code EE 401
Term 201701
Title Very Large Scale Integrated System Design I
Faculty Faculty of Engineering and Natural Sciences
Subject Electronics Engineering(EE)
SU Credit 3
ECTS Credit 8.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) ?lker Hamzao?lu -hamzaoglu@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
EE302 CS303 EL302
Mode of Delivery Formal lecture,Interactive lecture,Laboratory
Planned Learning Activities Interactive,Communicative,Task based learning
Content

Complementary Metal-Oxide Semiconductor (CMOS) technology and limitations; CMOS circuit and logic design; layout rules and techniques; circuit characterization and performance estimation; CMOS subsystem design, basic building blocks; structured design principles; Very-Large-Scale Integrated (VLSI) system design methods; DRC, logic and circuit simulation.

Objective

This course teaches both full custom and standard cell based digital CMOS VLSI circuit design, implementation and analysis. Students gain practical experience by designing, implementing and verifying full custom and standard cell based digital CMOS VLSI circuits.

Learning Outcome

Describe digital VLSI circuit design styles;
Analyze and reduce delay of full custom digital VLSI circuits;
Design and analyze full custom arithmetic circuits (e.g. adder, multiplier);
Describe basic techniques for reducing power consumption of digital VLSI circuits;
Describe clock generation and distribution in synchronous digital VLSI circuits;
Describe standard cell libraries;
Design and implement standard cell based digital VLSI circuits using logic synthesis and physical synthesis tools;
Verify functionality and timing of standard cell based digital VLSI circuits using a logic simulation tool.

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. 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
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. 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
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. 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. 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
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
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 30
Assignment 35
Participation 5
Recommended or Required Reading
Textbook

Jan M. Rabaey, Anantha P. Chandrakasan, Borivoje Nikolic, Digital Integrated Circuits, Prentice Hall, 2nd Edition
Michael J. S. Smith, Application-Specific Integrated Circuits, Addison Wesley