Information Package / Course Catalogue
COMP 206 Computer Architecture
MEF University
Degree Programs
Computer Engineering
General Information For Students
Diploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code COMP 206
Course Title in English Computer Architecture
Course Title in Turkish Bilgisayar Mimarisi
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: None Lab: None Other: None
Estimated Student Workload 178 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 203 - Digital Systems Design (+Lojik Lab)
Expected Prior Knowledge Some exposure to C programming language or other high-level computer programming languages. Exposure to digital logic circuit design is a must.
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn computer organization, memory, i/o subsystems, processor design and latest computer hardware technology trends.
Course Description This course introduces the basics of the computer organization and architecture, design of processors, main memory, and i/o devices. It also involves understanding the concept of programs as sequences of machine instructions; understanding the relationship between assembly language and machine language; writing programs using assembly languages; understanding the relationship between high-level compiled languages and assembly languages; understanding arithmetic and logical operations with integer operands; understanding floating-point number systems and operations; understanding data path and controller designs; understanding cache structures and virtual memories; understanding and implementing basic pipelining concepts and learning about advanced microarchitecture concepts such as branch prediction and multicore implementations
Course Description in Turkish Bu ders bilgisayar organizasyonu ve mimarisi temellerine, işlemci, ana bellek ve girdi/çıktı devre tasarımına girişi amaçlamaktadır. Ayrıca, yazılan programların makine dili olarak algılanması; donanım dili ile makine dili arasındaki ilişkinin anlanması ve donanım dilinde program yazılması; aritmetik ve mantık operasyonlarının tam sayılı ve kayan noktalı işlemler yapılmasının anlanması; Veri yolu ve kontrolcü devrelerin tasarımlarının yapılması; Ön bellek ve sanal bellek yapılarının anlanması; temel küme komut işleme tekniklerinin gerçeklenmesi ve tasarımı ve son olarakta ileri mikroişlemci yapıları olan çoklu islem görme ve dallanma öngörüsü gibi tekniklerin öğrenilmesi öngürülmektedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) comprehend computer architecture basics, cost-performance trade-offs, design of instruction set architectures
2) synthesize logic components of a smart computer collectively using software tools
3) communicate individual designs with a range of audience
4) write low-level programs using assembly languages, compile it for a given computer architecture
5) comprehend memory hierarchy, apply logic basics to design cache and memory architectures
6) obtain ability to develop input/output and storage subsystems
7) apply probability and statistics in cache, virtual memory and general subsystem design
8) apply the mathematical background and coding skills in a group project to design fairly complicated computer systems
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics H Exam,Project
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam,Project
3) An ability to communicate effectively with a range of audiences S Project
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives S Project
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions S Exam
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date BUSE YILMAZ , March 2024
Course Coordinator BUSE YILMAZ
Semester Spring
Name of Instructor Asst. Prof. Dr. BUSE YILMAZ

Course Contents

Week Subject
1) Introduction to Computer Architecture
2) Overview of computer components and their functionality
3) Assembly language, Instruction Set Architecture (ISA)
4) RISC and CISC Architectures, Instruction Set Architecture (ISA), MIPS ISA
5) MIPS ISA, Trade-offs, design challenges for ISAs, comparison of ISAs
6) Computer arithmetic
7) Processor Structure and Function & Midterm 1
8) Pipelining basics
9) Pipelining basics cont’d, ILP and Superscalar Processors
10) Memory Systems, Hierarchies and Operations
11) Memory Systems, Hierarchies and Operations cont’d & Midterm 2
12) Input/output and storage subsystems
13) Advanced concepts: Parallel processing & Multicore architectures
14) Advanced concepts: GPUs
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsThe Hardware/Software Interface, 5th Edition, David Patterson and John Hennessy, Computer Organization and Architecture (W. Stallings - 10th Edition), Logic & Computer Design Fundamentals, 5/E, M. Morris R. Mano, Charles R. Kime, Tom Martin Computer Organization and Design
Teaching MethodsLectures/contact hours using ‘flipped classroom’
Homework and ProjectsHWs, Quizzes and 1 project
Laboratory Work0
Computer UseRequired
Other Activitiesnoe
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 5 % 20
Project 1 % 30
Midterm(s) 2 % 50
TOTAL % 100
Course Administration yilmazbuse@mef.edu.tr
+90 212 395 3719
Instructor’s office and phone number, office hours, email address: - Office: 556 - Phone number: +90 212 395 3719 - Email address: yilmazbuse@mef.edu.tr Rules for attendance: No attendance is required. Missing an exam: Provided that proper documents are presented, each missed exam by the student will be given the grade of the average of the other assessments related to the exam topics. No make-up exam shall be given. Late submissions: Late submissions are not accepted for inclass activities & quizzes A reminder of proper classroom behavior, code of student conduct: YÖK regulations. Statement on plagiarism: Plagiarism or any type of ethical misconduct shall not be tolerated.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 70
Project 1 30 3 33
Quiz(zes) 7 2 1 21
Midterm(s) 2 25 2 54
Total Workload 178
Total Workload/25 7.1
ECTS 6