| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE5220 | Digital Design Automation | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Prof. Dr. ŞEREF KALEM |
| Course Objectives: | System-on-a-Chip device integrates hundreds of millions of gates on a single die along with huge amount of code running simultaneously on microprocessors. Robustly implementing such complex systems within short window would be impossible without sophisticated and yet scalable computer-aided design (CAD) methods and tools that automatically generate low-level optimized hardware circuits and software binaries from higher level functional specifications. Course will begin with a general introduction to modern electronic system design flow and VLSI CAD. The course mainly focuses on high-level design techniques and automation algorithms for digital system design. |
|
The students who have succeeded in this course; Students will be able to: - Describe key concepts and approachs in high-level digital design automation. - Use C-based high-level synthesis tools to quickly design complex digital circuits. - Independently survey, present, and critique state-of-the-art research work in digital design automation. - Collaborate with others to develop new automation/optimization methods on new applications. |
| Introduction, Algorithm review,C-based synthesis, Reconfigurable computing, Front-end compilation, Scheduling, Pipelining, Resource sharing, ASIPs, Dataflow models, Project meetings. |
| Week | Subject | Related Preparation | |
| 1) | Introduction | ||
| 2) | Algorithm review | ||
| 3) | C-based synthesis | ||
| 4) | Reconfigurable computing | ||
| 5) | Front-end compilation | ||
| 6) | Paper discussions | ||
| 7) | Scheduling | ||
| 8) | Pipelining | ||
| 9) | Resource sharing | ||
| 10) | ASIPs | ||
| 11) | Midterm | ||
| 12) | Project discussions | ||
| 13) | Dataflow models | ||
| 14) | Project presentations | ||
| Course Notes: | P. Schaumont, A Practical Introduction to Hardware/Software Codesign, Springer, 2010. |
| References: | S. Dasgupta, C.H. Papadimitriou, and U.V. Vazirani, Algorithms, McGraw-Hill, 2007. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 1 | % 30 |
| Seminar | % 0 | |
| Midterms | 1 | % 30 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 1 | 20 | 20 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 30 | 30 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 40 | 40 |
| Total Workload | 160 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |