| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Logic Circuits | EEM271 | Turkish | Compulsory | 3. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | face to face |
| Course Coordinator | Doç. Dr. Fatih EVRAN, Arş. Gör. Yunus HINISLIOĞLU |
| Instructor(s) | Arş. Gör. Yunus HINISLIOĞLU (Güz), Doç. Dr. Fatih EVRAN (Güz) |
| Goals | Understanding principle of digital circuits and to gain ability to realize the analysis and design combinational and sequential digital circuits and use them in applications |
| Course Content | Number systems: binary, octal and hexadecimal number systems and their base conversion, and complement notation. Coding systems: BCD, ASCII, excess-3, and Gray codes. Boolean Algebra: theorems and properties of Boolean algebra, canonical and standard forms of Boolean expressions. Digital logic gates. Minimization of Boolean functions. Combinational circuit design. Sequential circuit design: flip-flops, registers, counters, and memory units. |
| # | Öğrenme Kazanımı |
| 1 | Gain ability to apply theoretical and practical information about digital electronics (logic circuits) for modeling and solving engineering problems; |
| 2 | Gain ability to determine, define, formulize and solve complex engineering problems which encountering in digital electronic with selecting proper analysis and modeling method |
| 3 | Gain ability to design complex system or process which encountering in digital electronic with applying modern modeling methods under realistic circumstance |
| 4 | Gain ability to develop select and use modern technology and equipment for digital electronic applications with using information technology in efficient way |
| 5 | Gain ability to interpret results with collecting data and analyzing results for investigating engineering problems about digital electronics |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Analog and digital concepts, number systems, binary codes. | |
| 2. Week | Boolean algebra, digital logic gates, integrated circuits. | |
| 3. Week | Simplifications of Boolean functions: Karnaugh maps, Quine McCluskey and Petrick methods. | |
| 4. Week | Analysis and design of combinational logic circuits: Arithmetic circuits. | |
| 5. Week | Analysis and design of combinational logic circuits: Comparators circuits, decoders, coders. | |
| 6. Week | Analysis and design of combinational logic circuits: Multiplexer, demultiplexer, programmable logic devices. | |
| 7. Week | Analysis and design of sequential logic circuits: Flip-flops and applications circuits. | |
| 8. Week | Analysis and design of sequential circuits: Flip-flops and application circuits. | |
| 9. Week | Analysis and design of sequential logic circuits: Mealy model. | |
| 10. Week | Analysis and design of sequential logic circuits: Moore model. | |
| 11. Week | Registers and memory. | |
| 12. Week | Analysis and design of sequential logic circuits: Synchronous counters. | |
| 13. Week | Analysis and design of sequential logic circuits: Asynchronous counters. | |
| 14. Week | Algorithmic state machines |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science, and related engineering disciplines; ability to use theoretical and applied information in these areas to solve complex engineering problems. | ✔ | |||||
| 2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | ✔ | |||||
| 3 | Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | ✔ | |||||
| 4 | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | ✔ | |||||
| 5 | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | ✔ | |||||
| 6 | Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually. | ✔ | |||||
| 7 | Ability to communicate effectively both 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, to follow developments in science and technology, and to constantly renew oneself. | ✔ | |||||
| 9 | Knowledge about behaving by ethical principles, professional and ethical responsibility, and standards used in engineering practices. | ||||||
| 10 | Knowledge of business life practices such as project management, risk management, and change management; awareness of entrepreneurship, and innovation; knowledge of sustainable development. | ||||||
| 11 | Knowledge about the global and societal effects of engineering practices on health, environment, and safety and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 |
|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | 5 |
| PY2 | 5 | 5 | 5 | 5 | 5 |
| PY3 | 5 | 5 | 5 | 5 | 5 |
| PY4 | 5 | 5 | 5 | 5 | 5 |
| PY5 | 4 | 4 | 4 | 4 | 4 |
| PY6 | 3 | 3 | 3 | 3 | 3 |
| PY7 | 2 | 2 | 2 | 2 | 2 |
| PY8 | 1 | 1 | 1 | 1 | 1 |
| PY9 | 0 | 0 | 0 | 0 | 0 |
| PY10 | 0 | 0 | 0 | 0 | 0 |
| PY11 | 1 | 1 | 1 | 1 | 1 |
| Ders Kitabı veya Notu |
|
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Doç. Dr. Fatih EVRAN | NÖ (A) | Vize | 40.00 |
| Doç. Dr. Fatih EVRAN | NÖ (A) | Final | 60.00 |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 1 | 14 |
| Practice | 14 | 2 | 28 | |
|
Sınavlar |
Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 2 | 4 | 8 | |
| Homework 2 | 1 | 6 | 6 | |
| Final | 1 | 2 | 2 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
