Biomedical Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | EEE201 | ||||
Course Name: | Digital Logic Design | ||||
Semester: | Fall | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Prof. Dr. INDRİT MYDERRİZİ | ||||
Course Lecturer(s): | Indrıt Myderrizi | ||||
Course Assistants: |
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. |
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 |
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 |
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 Learning Outcomes | 1 |
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3 |
4 |
5 |
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Program Outcomes | |||||||||||
1) Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 2 | 2 | |||||||||
2) Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 | 2 | |||||||||
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 2 | 2 | |||||||||
4) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively. | 2 | 2 | |||||||||
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics. | 2 | 2 | |||||||||
6) Ability to work effectively in disciplinary and multi-disciplinary teams; individual working 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; the ability to access information, follow developments in science and technology, and constantly renew oneself. | |||||||||||
9) Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices. | |||||||||||
10) Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |||||||||||
11) Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 2 |
2) | Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 |
3) | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 2 |
4) | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively. | 2 |
5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics. | 2 |
6) | Ability to work effectively in disciplinary and multi-disciplinary teams; individual working 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; the ability to access information, follow developments in science and technology, and constantly renew oneself. | |
9) | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices. | |
10) | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |
11) | Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions. |
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 |
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 |