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Code CS 303
Term 201701
Title Logic and Digital System Design
Faculty Faculty of Engineering and Natural Sciences
Subject Computer Sci.& Eng.(CS)
SU Credit 4
ECTS Credit 8.00 / 7.00 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)
--
Mode of Delivery Formal lecture,Interactive lecture,Recitation,Laboratory
Planned Learning Activities Interactive,Communicative,Task based learning
Content

Number systems and conversion, boolean algebra, the assetion level concept; minterm and maxterm expensions, Karnaugh maps,and Quine McCluskey minimization, combinatorial logic circuit design, NAND and NOR gate based design. State machines and sequential circuits flip-flops, minimization of state tables, state assignment. Higher level digital system desin using SSI-MSI blocks such multiplexers/decoders, adders, memory and programmable . gate arrays;bus oriented systems. Asynchronous sequential circuits, flow tables, timing hazards.

Objective

To develop the engineering skills for designing digital systems.

Learning Outcome

Explain the reasons for using different formats to represent numerical data and how negative integers are stored in sign-magnitude and two?s-complement representation.
Convert numerical data from one format or base to another.
Describe the internal representation of nonnumeric data.
Demonstrate an understanding of the basic building blocks such as logic gates, flip-flops, counters, registers, and programmable logic devices
Demonstrate the ability to minimize logic expressions, and express Boolean functions in different forms and an understanding of the physical considerations of logic elements such as gate delays.
Use mathematical expressions to describe the functions of simple combinational and sequential circuits.
Design combinational and sequential circuits using the fundamental building blocks given the verbal description of the circuits
Construct a finite state diagram to capture state transition in a sequential circuit.
Demonstrate an understanding of digital systems expressed in register transfer level

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. 1
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. 3
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 Required Courses
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 Required Courses
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
Computer Science and Engineering Program Outcomes Core Electives
1 Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 4
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
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
Molecular Biology, Genetics and Bioengineering Program Outcomes Area Electives
1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1
2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 40
Assignment 30
Recommended or Required Reading
Textbook

M. Morris Mano and Michael D. Ciletti, Digital Design: With an Introduction to the Verilog HDL, Fifth Edition, Prentice Hall