EEE201 Digital Logic DesignIstinye UniversityDegree Programs Computer Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Engineering (English)

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: EEE201
Course Name: Digital Logic Design
Semester: Fall
Course Credits:
ECTS
6
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Araş. Gör. AYŞENUR ESER
Course Lecturer(s): Indrıt Myderrizi
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to show students the basic knowledge of digital circuit elements and the principles of combinational/sequential logical circuit design.
Course Content: Analog and digital signals, number systems, binary numbers and their arithmetic, digital coding, Boolean algebra, switching algebra, basic logic gates, Karnaugh maps, Mc Cluskey Method, combinational logic circuits, programmable arrays, analysis and synthesis of sequential logic circuits, registers and counters examples.

Learning Outcomes

The students who have succeeded in this course;
1) Perform arithmetic and representation with numbers in the binary number system
2) Use basic operations and properties of Boolean algebra
3) Realize combinational circuits with logic gates
4) Analyze and synthesize sequential circuits
5) Design and use special sequential circuits

Course Flow Plan

Week Subject Related Preparation
1) Classification of electrical signals, classification of logic circuits Introduction to financial engineering Introduction to financial engineering Introduction to financial engineering
2) Number systems, arithmetic operations with binary numbers Forward and futures contracts Forward and futures contracts Forward and futures contracts
3) Introduction to Boolean algebra, Boolean functions Hedging with futures contracts Hedging with futures contracts Hedging with futures contracts
4) Switching algebra, switch circuits
5) Combinational logic circuits, basic logic gates
6) Reduction of boolean functions: Karnaugh method
7) Reduction of Boolean functions: Quine Mc Cluskey (Table) method
8) Midterm
9) Some combinational circuit elements (Adder, Decoder, Encoder, Multiplexer, Demultiplexer), Programmable Logic Circuits (ROM, PLA, PAL)
10) Sequential logic circuits, sequential system concept, clock signals
11) Sequential circuits: state table and state diagram; flip-flops
12) Analysis of synchronous sequential circuits, time diagrams
13) Synthesis of synchronous sequential circuits, finite state machine (FSM) design
14) Special sequential circuits: sequence detectors, shift registers, counters

Sources

Course Notes / Textbooks: M. M. Mano, M. D. Ciletti. (2013), " Digital Design 5/E", Pearson
References: M. M. Mano, M. D. Ciletti. (2013), " Digital Design 5/E", Pearson

Course - Program Learning Outcome Relationship

Course Learning Outcomes

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Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Laboratory 7 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 3 39
Laboratory 13 2 26
Study Hours Out of Class 13 3 39
Midterms 1 15 15
Final 1 20 20
Total Workload 139