COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Microprocessors
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 302
Fall/Spring
2
2
3
8
Prerequisites
 CE 301To succeed (To get a grade of at least DD)
orEEE 242To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives In this course, students will be introduced to microcomputers and microprocessors. The topics covered will include understanding 80x86 family architecture, Assembly language programming of the 80x86 CPU for low level tasks, introduce computer organization and architecture of the PC.
Learning Outcomes The students who succeeded in this course;
  • will be able to develop assembly language programs aligned with processor architecture and program development environment,
  • will be able to define memory management, the protected mode and the virtual 8086 mode employed in the lab,
  • will be able to describe how hardware and software interrupts work,
  • will be able to analyze an embedded system to determine base address, range of memory and I/O, and the number of reflections resulting from partially decoded address lines,
  • will be able to design direct mapped or n-way associative cache memory from SRAM elements,
  • will be able to build memory from typical memory components such as SRAM, DRAM, EPROM and FLASH, given overall specifications.
Course Description The following topics will be included: the fundamental concepts of microprocessors and the relationship between assembler and basic components of a computer. 80x86 family architecture, 80x86 based Assembly language programming, computer organization and architecture of the PC.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction Mazidi, Chapter 0
2 The X86 Microprocessor Mazidi, Chapter 1
3 Assembly Language - Segments Mazidi, Chapter 2
4 Assembly Language - Addressing Mazidi, Chapter 2
5 Assembly Language - Directives Mazidi, Chapter 2
6 Assembly Language - Control Transfer Mazidi, Chapter 3
7 Interrupt Programming Mazidi, Chapter 4
8 Midterm
9 Arithmetic Logic Instructions Mazidi, Chapter 11
10 Arithmetic Logic Instructions Mazidi, Chapter 11
11 Interrrupts Mazidi, Chapter 14
12 Signed Numbers and Strings Mazidi, Chapter 22
13 Memory and Memory Interfacing Mazidi, Chapter 22
14 Input / Output Mazidi, Chapter 21
15 Semester Review
16 Final Exam
Course Notes/Textbooks The x86 PC Assembly Language, Design, and Interfacing, Muhammad Ali Mazidi, Janice Gillispie Mazidi, and Danny Causey; ISBN 0136092268.
Suggested Readings/Materials 1: INTEL Microprocessors 8086/8088, 80186/80188, 80286, 80386, 80486, Pentium, Prentium ProProcessor, Pentium II, III, 4:7/e, Barry Brey, Prentice Hall, 2006, ISBN10: 0131195069 | ISBN13: 9780131195066. 2: The 8088 and 8086 Microprocessors, Programming, Interfacing, Software, Hardware, and Applications, 4th Ed., Walter A. Triebel, Avtar Singh, Prentice Hall, 2003, ISBN10: 0130930814 ISBN13: 9780130930811.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
10
Field Work
Quizzes / Studio Critiques
4
10
Portfolio
Homework / Assignments
-
Presentation / Jury
Project
1
10
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
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
14
5
70
Field Work
Quizzes / Studio Critiques
4
10
Portfolio
Homework / Assignments
-
-
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterms
1
19
Final Exams
1
27
    Total
240

 

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 and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

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

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics.

6

To be able to work efficiently in Biomedical 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 present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Biomedical Engineering practices 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 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 Biomedical 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 Biomedical Engineering.

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