Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Digital Electronics CE206 English Compulsory 4. Semester 4 + 1 5.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. Muhammed Enes BAYRAKDAR
Instructor(s) Prof. Dr. Muhammed Enes BAYRAKDAR (Bahar)
Goals To introduce the basic concepts of number systems and coding, to introduce Basic Logic gates and Logic ICs, to teach simplification using Karnough Maps and Boolean algebra, to describe composite circuits and to gain design skills, to introduce sequential logic circuits, to introduce flip-flops and their types, flip -To teach circuit elements including flop, to introduce programmable logic circuits. Thus, to have hardware knowledge about the basic circuits and workings of the computer.
Course Content Concept of analog and digital, number systems, coding systems, logic gates, simplification of logic circuits with Karnaugh diagram, Boolean functions and simplification, combinational circuit elements, adder, subtractor, comparator, encoder, decoder, code converter, multiplexer (data selector) and demultiplexer (data distributors) circuit designs. Flip-flops and sequential synchronous circuit analysis and design (finite state machine design using mealy and moore model). Counter circuits, counter design, register circuits, programmable logic circuits, memory circuits.
Learning Outcomes
# Öğrenme Kazanımı
1 Learns the difference between digital and analog concepts.
2 Understands number systems and coding systems.
3 Simplify logic circuits, design and implement combinesonal circuits.
4 Can design and implement circuits using logic gates.
5 Understands sequential circuits and flip-flops, and can design counters and registers using them.
6 Learns and designs memory circuits.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Analog and Digital Concepts Preparation, After Class Study, Presentation (Preparation), Practice
2. Week Number systems Preparation, After Class Study, Presentation (Preparation), Practice
3. Week Coding and Binary Codes Preparation, After Class Study, Presentation (Preparation), Practice
4. Week Boolean Rules, Simplifying Logic Expressions, Creating Logic Gates and Logic Circuits Preparation, After Class Study, Presentation (Preparation), Practice
5. Week Simplifying logic functions with Karnaugh diagram Preparation, After Class Study, Presentation (Preparation), Practice
6. Week Combinational Circuits: Adder, Subtractor and Comparator Circuits Preparation, After Class Study, Presentation (Preparation), Practice
7. Week Combined circuits: Encoder, Decoder, Code Converter, Multiplexer and Demultiplexer circuit design Preparation, After Class Study, Presentation (Preparation), Practice
8. Week Sequential circuits Preparation, After Class Study, Presentation (Preparation), Practice
9. Week Flip-Flops Preparation, After Class Study, Presentation (Preparation), Practice
10. Week Sequential Synchronous Circuit Analysis and Design Preparation, After Class Study, Presentation (Preparation), Practice
11. Week Sequential circuits: Counters and counter circuit designs Preparation, After Class Study, Presentation (Preparation), Practice
12. Week Sequential circuits: Registers Preparation, After Class Study, Presentation (Preparation), Practice
13. Week Programmable logic circuits Preparation, After Class Study, Presentation (Preparation), Practice
14. Week Memory circuits Preparation, After Class Study, Presentation (Preparation), Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems
2 Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods
3 Knowledge and awareness about the management, control, development and security/reliability of Information Technologies
4 Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods
6 Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics
8 Ability to develop, 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
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY1 4 4 4 4 0 0
PY2 4 4 4 4 0 0
PY3 1 1 1 1 0 0
PY4 3 3 3 3 0 0
PY6 4 4 4 4 0 0
PY8 3 3 3 3 0 0
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Harris, D., and Harris S. (2013). Digital Design and Computer Architecture. Morgan Kaufmann.
  • Floyd, T. L. (2015). Digital Fundamentals, Global Edition. Pearson Education Publication.
  • Roth Jr, C. H., Kinney, L. L., & John, E. B. (2014). Fundamentals of logic design. Cengage Learning Publication.
  • Mano, M. M., Kime, C. R., & Martin, T. (2015). Logic and Computer Design Fundamentals. Pearson Publication.
Evaluation Method
Bahar Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. Muhammed Enes BAYRAKDAR N.Ö Vize 30.00
Prof. Dr. Muhammed Enes BAYRAKDAR N.Ö Lab. 20.00
Prof. Dr. Muhammed Enes BAYRAKDAR N.Ö Final 50.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 5 16 80
Homework 16 3 48
Total Workload 128
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0