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
Oral Exams
Midterm
1
20
Final 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
Theoretical 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
Oral Exam
Midterms
1
10
Final Exam
1
18
    Total
146

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

X
6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

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