CMP1004 Introduction to Digital LogicBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP1004 Introduction to Digital Logic Spring 3 0 3 6

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN
Course Lecturer(s): Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN
Recommended Optional Program Components: None
Course Objectives: This course features a strong emphasis on the fundamentals underlying contemporary logic. The topics include digital systems and information, combinational logic circuits, combinational logic design, arithmetic functions and circuits, sequential circuits, etc.

Learning Outcomes

The students who have succeeded in this course;
I. To investigate and analyze fundamental components and approaches to design and implement a digital system.
II. To do calculations in boolean algebra and analyze mathematical expressions of logic design
III. To gain knowledge about design and analyze of combinational circuits and sequential circuits, be able to compare these two circuit structures
IV. To design and simulate complex digital circuits, hence gain experience in digital circuit design
V. To be able to evaluate problems and needs in electronic and automation world and use his/her knowledge to think about the solutions that digital systems can provide for those problems
VI. To be able to correlate mathematical expressions with digital logic components, hence develop connection of these components with the parameters of real-world problems.
VII. To obtain knowledge about fundamentals of memory implementation, RAMs and ROMs

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Binary Systems Binary Operations Chapter 2 from Course Book ( Digital Design )
2) Basic Logic Gates Boolean Functions and Algebra Chapter 2 from Course Book
3) Function Representations, Boolean Expression, Truth Table Representation, Logic Diagrams and Conversions between various representations 2 variable, 3 variable, 4 variable Functions Chapter 2 and 3 from Course Book
4) Minterm and Maxterm Representations Product of Sums Representations and Logic Diagrams Sum of Products Representations and Logic Diagrams Chapter 3 from Course Book
5) K-MAP and Conversions between Various Representations, NAND-NAND Conversion Problems, NOR-NOR Conversion Problems, XOR Gate Implementation Chapter 3 from Course Book
6) K-Map Representation and Gate Level Minimization, OR-AND Implementation, AND-OR Implementation, NAND-NAND Logic Diagram Conversion, NOR-NOR Logic Diagram Conversion Chapter 3 from Course Book
7) Half-adder, Full-adder Logic Functions, Logic Diagram Implementations Chapter 4 from Course Book
8) 4-bit binary adder, 4-bit binary subtractor, 4-bit binary adder/subtractor, More than 4 bit binary adders/subtractors, 1024-bit binary adder design Chapter 4 From Course Book
9) Binary Multiplier Functions, Design and Implementations Chapter from Course Book
10) Magnitude Comparator Functions and Logic Gate Implementations Chapter 4 from Course Book
11) Decoders, Encoders, Multiplexers Chapter 4 from Course Book
12) Introduction to Sequential Circuits, Latches Chapter 5 from Course Book
13) Flip Flop Circuits, JK Flip Flop, T Flip Flop, D Flip Flop Chapter 5 from Course Book
14) Analysis of Sequential Circuits, Clocks Chapter 5 from Course Book

Sources

Course Notes / Textbooks: Digital Design by M.Morris Mano and Michael D.Ciletti, Fifth Edition, PEARSON
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 3 % 15
Midterms 1 % 35
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 14 42
Quizzes 3 18
Midterms 1 18
Final 1 36
Total Workload 156

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. 5
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 4
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.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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 engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.