ARTIFICIAL INTELLIGENCE 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
GEP0825 Logic and Computer Applications Fall 3 0 3 5
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: GE-Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Dr. BURCU ALARSLAN ULUDAŞ
Course Lecturer(s): Dr. Öğr. Üyesi SERKAN AYVAZ
Course Objectives: Students will be introduced the fundamentals underlying contemporary logic design using hardware description languages, synthesis, andverification. Class focuses on theeverevolvingapplications of basic computer design concepts with strong connections to real world technology.

Learning Outputs

The students who have succeeded in this course;
Thestudentswhosucceeded in thiscourse;
-Understand the fundamental concepts of digital logic systems,
-Analyze and design simple digital logic circuits by understanding,
-Have a high-level understanding of basic computer organization and design

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.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Digital Computers and Information Chapter 1. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
2) Combinational Logic Circuits Chapter 2. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
3) Combinational Logic Circuits Chapter 2. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
4) Combinational Logic Design Chapter 3. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
5) Combinational Logic Design Chapter 4. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
6) Combinational Functions and Circuits Chapter 4. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
7) Combinational Functions and Circuits Chapter 4. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
8) Arithmetic Functions and Circuits Chapter 5. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
9) Arithmetic Functions and Circuits Chapter 5. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
10) Sequential Logic Circuits Chapter 6. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
11) Sequential Logic Circuits Chapter 6. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
12) Sequential Logic Circuits Chapter 6. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
13) Sequential Logic Circuits Chapter 6. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110
14) Sequential Logic Circuits Chapter 6. Logic and Computer Design Fundamentals. Mano. ISBN 0132067110

Sources

Course Notes: Morris Mano, Charles R. Kime, “Logic and Computer Design Fundamentals”, Prentice Hall, 4/E, 2008, ISBN 0132067110.
References: Jean E. Rubin, Mathematical Logic: Applications andTheory, SaundersCollege Publishing, 1990, ISBN 0-03-012808-0

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 5 % 20
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 20
Preliminary Jury % 0
Final 1 % 50
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 0 0 0
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 5 4 20
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 15 15
Paper Submission 0
Jury 0
Final 1 20 20
Total Workload 97

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) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.