COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1410221006

Ders İsmi:

Microprocessors

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
2	2	3	6

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Recep DURANAY

Course Lecturer(s):

Dr.Öğr.Üyesi Emre ÖZEREN

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

Introducing microprocessors and teaching the structures, programming languages and applications of the commonly used ones.

Course Content:

icroprocessor, what is microcomputer, asembler language, machine language, recorders, hardware structures, RAM, ROM, EPROM, EEPROM, memory structures, examination of microprocessor internal structure, microprocessor arithmetic logic and control unit, accumulator structure, microprocessor bus, data bus structure, microcomputer design, addressing logic, working of machine language commands on microcomputer, 8080, 8085 asembler language, asembler language machine language conversions, assembler language commands, analog and digital converters, 8086, 80286, 16 bit microprocessors, addressing modes, interrupt structures, use of ports protected mode addressing structure, PIC.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) Having a general knowledge about microprocessor families, to know enough to use the main and current elements of the Intel family
2) Understanding the architecture of microprocessors and learning what is required to realize a minimum of microcomputer
3) To be able to write assembly programs and understand the written programs by using the limited commands of the microprocessor with the algorithm logic they learned before.
Field Specific Competence
1) To establish the relationship between the topics of previously learned logic circuits and electronic
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	History of computers, vacuum tubes, transistors, integrated circuits, intel and motorola family	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
2)	Memory basics and memory organization, flip-flop, common path, RAM, ROM, EPROM structures	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
3)	Microprocessor architecture and operation, 8085 8-bit microprocessor structure, 8255 IC	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
4)	16-bit microprocessors, 8086-8088, logic and physical memories, segmented memory structure, protected mode	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
5)	5. Week	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
6)	Addressing modes, data addressing modes, program memory addressing modes in 16-bit microprocessors	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
7)	Data transfer commands, address loading commands, string commands	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
8)	Midterm	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
9)	Sequence comparison, program control commands, branching commands, subprograms	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
10)	Arithmetic and logic commands, addition, subtraction, division, multiplication, comparison, and, or, shifting, rotation	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
11)	Introduction to interrupts, software interrupts, hardware interrupts	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
12)	8085 microprocessor software programming examples, 8085 simulator usage	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
13)	80286 microprocessor software programming examples	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
14)	Basic concepts of PIC, differences between PIC and microprocessors, advantages, commands	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
15)	PIC16F84 applications	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
16)	final	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları

Sources

Course Notes / Textbooks:	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları
References:	Mikroişlemciler ve Bilgisayarlar - Doç.Dr.Haluk Gümüşkaya, Alfa Yayınları

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	3	4	2
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2)	PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3)	PO 2.1) Identifying complex engineering problems
4)	PO 2.2) Defining complex engineering problems
5)	PO 2.3) Formulating complex engineering problems
6)	PO 2.4) Ability to solve complex engineering problems
7)	PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8)	PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9)	PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10)	PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11)	PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications	3
12)	PO 4.3) Ability to use information technologies effectively.
13)	PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14)	PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15)	PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16)	PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17)	PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Labs
Homework
Web Tabanlı Öğrenme

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	2	% 10
Homework Assignments	2	% 10
Midterms	1	% 30
Semester Final Exam	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	14	2	28
Study Hours Out of Class	14	5	70
Homework Assignments	5	5	25
Midterms	1	2	2
Final	1	3	3
Total Workload			156