Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
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 |
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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) |
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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 CompetencesUpon 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) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||||
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||||
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||||
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||||
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||||
6) Internalization and dissemination of professional ethical standards. | ||||||||
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||||
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||||
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||||
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||||
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||||
12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||||
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
N None | S Supportive | H Highly Related |
Program Outcomes and Competences | Level | Assessed by | |
1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
6) | Internalization and dissemination of professional ethical standards. | N | |
7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
Prepared by and Date | BUSE YILMAZ , March 2024 |
Course Coordinator | BUSE YILMAZ |
Semester | Spring |
Name of Instructor | Asst. Prof. Dr. BUSE YILMAZ |
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 Readings | The 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 Methods | Lectures/contact hours using ‘flipped classroom’ | |||||||||||||||
Homework and Projects | HWs, Quizzes and 1 project | |||||||||||||||
Laboratory Work | 0 | |||||||||||||||
Computer Use | Required | |||||||||||||||
Other Activities | noe | |||||||||||||||
Assessment Methods |
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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. |
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 |