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| BIL3019 | Occupational English | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of COMPUTER ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Arş. Gör. Mustafa YAZICI | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Gain general knowledge and understanding of computer science, Understand the steps involved in intellectual property production process, Read and analyse a scientific journal and extract the main idea, prepare a presentation for a popular computer science topic and present it in front of an audience. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Can understand written articles about computer technology. | 7,8 | 1 | | LO - 2 : | Learns and understands the steps involved in patenting process | 7,8 | 1 | | LO - 3 : | Gains general understanding of general computer technology topics | 7,8 | 1 | | LO - 4 : | Attains a better understanding of the computer related terminology | | | | LO - 5 : | Can present his work in front of an audience using English language. | | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Understanding intellectual property and the steps necessary for producing patents, Impact of artificial intelligence on todays and future societies, Modelling human brain, Material science and the impact of material science on the computer technology, Graphene and its potential to change computers, Energy efficiency and taking advantage of automation to de-carbonize the energy production, Introduction to computer architecture, Parallel computers, Servers and parallelism, Memory architectures, Memory optimisation, D-RAM technology, Field Effect Transistors, The die production process, Virtual Memory and virtualisation, Wireless Communication Technology. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Understanding intellectual property and the steps necessary for producing patents | | | Week 2 | Impact of artificial intelligence on todays and future societies | | | Week 3 | Modelling human brain | | | Week 4 | Material science and the impact of material science on the computer technology | | | Week 5 | Graphene and its potential to change computers | | | Week 6 | Energy efficiency and taking advantage of automation to de-carbonize the energy production | | | Week 7 | Introduction to computer architecture | | | Week 8 | Mid-term Exam | | | Week 9 | Parallel computers | | | Week 10 | Servers and parallelism | | | Week 11 | Memory architectures | | | Week 12 | Memory optimisation and D-RAM technology, Field Effect Transistors, The die production process, Virtual Memory and virtualisation, Wireless Communication Technology. | | | Week 13 | Field Effect Transistors and the die production process | | | Week 14 | Virtual Memory and virtualisation and Wireless Communication Technology. | | | Week 15 | Student presentations | | | Week 16 | End-of-term exam | | | |
| 1 | Computer Architecture: A Quantitative Approach, David Patterson and John L. Hennessy. | | | |
| 1 | IEEE Spectrum,Google Scholar | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | Project | 12 | | 15 | | | End-of-term exam | 16 | | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 15 | 45 | | Sınıf dışı çalışma | 2 | 15 | 30 | | Arasınav için hazırlık | 8 | 1 | 8 | | Arasınav | 1 | 1 | 1 | | Proje | 15 | 1 | 15 | | Dönem sonu sınavı için hazırlık | 10 | 1 | 10 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 110 |
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