CE 301 | Course Introduction and Application Information

Course Name
Logic Design
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 301
Fall/Spring
2
2
3
8

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives Students will be introduced to information representation and number systems, and Boolean algebra. Manipulation and minimization of completely and incompletely specified Boolean functions. Physical properties of gates: fan-in, fan-out, propagation delay, timing diagrams, and tri-state drivers. Combinational circuit analysis and design, multiplexers, decoders, comparators, and adders. Sequential circuit analysis and design, basic flip-flops, clocking and timing diagrams.
Course Description The students who succeeded in this course;
  • should be able to solve basic binary math operations using the logic gates
  • should be able to design different units that are elements of typical computer’s CPU
  • should be able to apply knowledge of the logic design course to solve problems of designing of control units of different input
  • should be able to wiring different logical elements, to analyze and demonstrate timing diagrams of the units modeled
  • should be able to design electrical circuitry using logical elements realized on the base of different technologies
Course Content The course will cover many subjects including binary logic, combinatorial and sequential circuit design, state machine design techniques, instruction set architectures, and finally basic processor design.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 History of Computers Chapter 1
2 Combinational Logic Circuits Chapter 2
3 Combinational Logic Circuits Chapter 2
4 Combinational Logic Design Chapter 3
5 Combinational Logic Circuits Chapter 3
6 Quiz I
7 Arithmetic Functions Chapter 4
8 Arithmetic Functions Chapter 4
9 Midterm
10 Arithmetic Functions Chapter 4
11 Sequential Circuits Chapter 5
12 Quiz II
13 Sequential Circuits Chapter 5
14 Sequential Circuits Chapter 5
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks Morris Mano, Charles R. Kime, “Logic and Computer Design Fundamentals”, Prentice Hall, 4/E, 2008, ISBN 0132067110.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
25
Field Work
Quizzes / Studio Critiques
2
20
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
20
Final / Oral Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
4
55
Weighting of End-of-Semester Activities on the Final Grade
1
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
2
32
Laboratory / Application Hours
Including exam week: 16 x total hours
16
2
Study Hours Out of Class
16
3
Field Work
Quizzes / Studio Critiques
2
3
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
10
Final / Oral Exam
1
18
    Total
146

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest