CENG487 Advanced Computational MethodsIstanbul Okan UniversityDegree Programs Computer Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: CENG487
Ders İsmi: Advanced Computational Methods
Ders Yarıyılı: Fall
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction: EN
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Compulsory
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 : Prof. Dr. BEKİR TEVFİK AKGÜN
Course Lecturer(s):
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: This course provides students with detailed information on High Performance Computing (YBH) under the following topics.
Course Content: 1) Parallel computing
2) New parallel processor architectures
3) Power-supervised computing and communication
4) New developments such as Petascale and Optic systems.
In addition, this course covers parallel computing models such as dataflow and demand-driven.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Quickly remember parallel computing basics
2) Understanding new parallel processor architectures
3) To introduce current technology and trends in systems such as Petascale, optical systems.
2 - Skills
Cognitive - Practical
1) To understand and use power-supervised computing and communication
3 - Competences
Competence to Work Independently and Take Responsibility
Field Specific Competence
Learning Competence
Communication and Social Competence

Ders Akış Planı

Week Subject Related Preparation
1) Introduction to High Performance Computing (YBH) Course Notes
2) Review of Parallel Computing concepts Course Notes
3) Programming with CUDA Course Notes
4) Programming with CUDA Course notes
5) Basic design problems in Parallel Computing Course notes
6) Basic design problems in Parallel Computing Course notes
7) Basic design problems in Parallel Computing Course notes
8) Midterm Exam Course notes
9) Basic limitations encountered in Parallel Computing Course Notes
10) Basic limitations encountered in Parallel Computing Course notes
11) Power-supervised computing and communication Course notes
12) Power-supervised computing and communication Course notes
13) Advanced topics: Petascale computing, Optics in parallel computing, Quantum computers, Current developments in nanotechnology and their effects on YBH Course note
14) Advanced topics: Petascale computing, Optics in parallel computing, Quantum computers, Current developments in nanotechnology and their effects on YBH Course notes
15) Final Exam Course Notes

Sources

Course Notes / Textbooks: Ders notları
References: Course Notes

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

4

3

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Anlatım
Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Soru cevap/ Tartışma

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 20
Midterms 1 % 30
Final 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 3 42
Study Hours Out of Class 14 3 42
Homework Assignments 1 30 30
Midterms 1 40 40
Final 1 50 50
Total Workload 204