Information Package / Course Catalogue
EE 203 Digital Systems Design
MEF University
Degree Programs
Computer Engineering
General Information For Students
Diploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code EE 203
Course Title in English Digital Systems Design
Course Title in Turkish Sayısal Sistem Tasarımı
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 2 Other: 0
Estimated Student Workload 158 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn about fundamentals of digital logic circuits and design principles, for building more complex digital systems such as a digital computer.
Course Description This course introduces logic design and basic building blocks of modern digital systems such as digital computers. The course has three phases. We begin with number systems, Boolean algebra, combinational logic including minimization/optimization techniques based on Karnough Maps. The second phase considers sequential logic including flip-flops, counters and basic memory elements. Using such fundamental sequential blocks, we will design finite state machines. The third phase includes registers and a simple computer design. Throughout the course, different representations such as truth tables, timing diagrams and state diagrams shall be discussed. This course has an accompanying lab component in which students are expected to obtain hands-on experience with design softwares and digital integrated circuit technology using breadboards.
Course Description in Turkish Bu ders, mantik devre tasarımı ve sayısal bilgisayar gibi modern sayısal sistemlerin temel yapıtaşlarına girişi amaçlamaktadir. Bu ders üç temel bölümden oluşmaktadır. İlk aşamada, sayı sistemleri, Boolean cebiri, kombinezonsal mantık ve Karnough haritalari gibi yöntemler kullanarak devre karmaşıklığını en aza indirgeme yöntemleri üzerinde durulacaktir. İkinci aşamasi flip-flop, sayaçlar ve temel hafıza elemanlarını icine alan sirali (sequential) mantık devrelerini kapsamaktadir. Bu sıralı mantık devrelerini kullanarak sonlu durum makineleri tasarımları yapılacaktır. Son aşama ise yazmaçlar ve temel bilgisayar tasarımı gibi gelişmiş konu tartışmalarını içermektedir. Ders boyunca ayrıca doğruluk tabloları, zamanlama ve durum diyagramları gibi konular tartısılacaktır. Bu ders ayrıca laboratuar bileşeni kullanarak ögrenciyi bilgisayar destekli tasarımlara ve ayrıca fiziksel olarak sayısal sistem tasarımlarına alıştırmayı amaçlamaktadır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) comprehend the binary logic, Boolean algebra, Karnough maps and circuit optimization;
2) investigate and synthesize basic combinational logic circuits;
3) understand and design arithmetic logic circuits;
4) analyze and design appropriate state diagrams and finite state machines;
5) synthesize basic sequential logic circuits;
6) apply the mathematical background to design fairly complicated systems such as Central Processing Units;
7) design complex digital circuits using software tools.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics H Exam,HW
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam,HW,Lab,Project
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives H Lab,Project
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. H Lab,Project
Prepared by and Date BUSE YILMAZ , February 2024
Course Coordinator BUSE YILMAZ
Semester Fall
Name of Instructor Asst. Prof. Dr. BUSE YILMAZ

Course Contents

Week Subject
1) Introduction to Digital Systems and Information Representation
2) Binary Logic and Electronic Gates
3) Boolean Algebra
4) Combinational Logic Elements
5) Combinational Logic Circuits
6) Combinational Logic Design
7) Combinational Logic Design / Midterm 1
8) Arithmetic Functions I
9) Arithmetic Functions II
10) Sequential Logic Circuits
11) Finite State Machines and Sequential Logic Design
12) Registers and Counters / Midterm 2
13) Introduction to Basic Computer Design
14) Simple Datapath and Hard-Wired Controller Design
15) Final Exam/Project/Presentation
16) Final Exam/Project/Presentation
Required/Recommended Readings“Logic and Computer Design Fundamentals,” 5th Edition, by Mano and C. Kime, Prentice Hall, Upper Saddle River, NJ, 2013. ISBN-13: 9780131989269
Teaching MethodsLectures/contact hours using ‘flipped classroom’ as an active learning technique.
Homework and Projects3 homeworks and a term project
Laboratory WorkSeven Laboratories merged to four distinct sessions to take place in 5th, 10th , 12th and 14th weeks
Computer UseRequired
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Laboratory 7 % 15
Quiz(zes) 2 % 5
Homework Assignments 5 % 15
Project 1 % 25
Midterm(s) 2 % 40
TOTAL % 100
Course Administration yilmazbuse@mef.edu.tr
+90 212 395 3719
Instructor’s office and phone number, office hours, email address: - Office: 5th Floor, Room 556. - Phone number: 0212 395 3735 - Office hours: Thursday 13:30-14:30 - Email address:yilmazbuse@mef.edu.tr Rules for attendance, late submissions, missing an exam, etc.: Attendance is not enforced by any means and yet it is highly encouraged for getting a successful letter grade. Late submissions are only allowed for homeworks with a penalty of 10 points each passing day up to 3 days, after the third day the submission will get a zero. Provided that proper documents are presented, each missed midterm by the student will be given the grade of the final exam. No make-up exam shall be given. A reminder of proper classroom behavior, code of student conduct: YÖK regulations. Academic Dishonesty and Plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 2 56
Laboratory 7 3 2 1 42
Project 1 20 3 23
Homework Assignments 3 3 9
Quiz(zes) 2 2 4
Midterm(s) 2 10 2 24
Total Workload 158
Total Workload/25 6.3
ECTS 6