Digital System in Nanometer Nodes
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 3 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): VLSI Systems and Digital Design
Course Coordinator: Saibal Mukhopadhyay
Prerequisites: ECE4130 or ECE6130 or ECE4420 or ECE6430
Catalog DescriptionAn advanced treatment of design challenges, such as, power, variability, and reliability, associated with digital integrated circuits and systems in nanometer nodes.
Student OutcomesIn the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) 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. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) 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. ( Not Applicable ) 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. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering):
1. Explain the challenges of designing VLSI systems
2. Explain operations of nanometer scale MOSFETs
Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems):
1. Analyze advanced integrated circuits
Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Apply state-of-the-art practices to design low power and robust VLSI systems
2. Device operations in nanometer nodes:
3. Power dissipation and low-power design
4. Variation tolerant design methodologies
5. Reliability-aware design methodologies
6. Power distribution
7. Thermal challenges
8. Alternate computing models
9. Review of an example state-of-the-art industrial VLSI design