ELEC ENG 4053 - Digital Microelectronics
North Terrace Campus - Semester 1 - 2014
General Course Information
Course Code ELEC ENG 4053 Course Digital Microelectronics Coordinating Unit School of Electrical & Electronic Engineering Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact up to 5 hours per week Incompatible ELEC ENG 4037 Assumed Knowledge ELEC ENG 2008, ELEC ENG 2011, ELEC ENG 3028 Course Description Introduction to fabrication processes; Design rules (revisited); Transistor models (revisited from third year electronics); Layout issues; ASIC design flow; VLSI design methodology and leaf cell design; Performance estimation of CMOS complex gates and interconnected modules using logical effort; Interconnect types and issues, clock distribution, design margin, reliability and scaling; Static and dynamic CMOS logic families and adders design; Memories-static and dynamic RAMS, Pseudon-NMOS and dynamic PLA; Low power design and system level consideration.
Course Coordinator: Dr Said Al-SarawiCourse Coordinator and Lecturer: Dr Said Al-Sarawi
Office: Ingkarni Wardli 3.39
Phone: 8313 4198
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesAfter completion of this course, students will be able to:
1. Use basic probability theory to model random signals in terms of Random Processes.
2. Use covariance matricis to describe the second order statics of Random Processes.
3. Derive the power spectrum of random signals.
4. Understand and derive the Wiener filter for signals with known second order statistics.
5. Formulate the Wiener filter as a constrained optimisation problem
6. Use and understand the LMS algorithm for iteratively estimating the Wiener filter weights.
7. Determine suitable LMS step size to trade off convergence time and misadjustment.
8. Derive and apply the RLS algorithm for iteratively estimating the Wiener filter weights.
9. Be familiar with the prediction filter formulation and applications
10. Solve the Wiener filter weights for the prediction filter using the Levinson-Durbin algorithm
11. Be familiar with the Lattice filter implementation of the prediction filter.
12. Derive the Lattice filter architecture from the Levinson-Durbin algorithm
13. Apply a modified LMS algorithm to the lattice structure to improve convergence times.
14. Implement and understand basic neural networks involving multi-layer feed-forward networks.
15. Use Matlab to implement the Wiener filter, Least Squares, LMS and RLS algorithms.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1-17 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 4,6,7,13 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 9,10,14,15 Skills of a high order in interpersonal understanding, teamwork and communication. 17 A proficiency in the appropriate use of contemporary technologies. 1,3,11,12 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 2,5,8
Neil H. E. Weste & David Harris, “CMOS VLSI design: a circuits and systems perspective,” Addison Wesley, 3rd edition, 2004.
Kang and Leblebici, “CMOS digital integrated circuits,” McGraw Hill, 3rd edition, 1998.
Rabaey, Chandrakasan & Nikolil, “Digital Integrated Circuits,” Prentice Hall, 2nd edition, 2003.
A set of course notes, practice problems and other supporting materials will also be available for downloading from the course web site.
Online LearningExtensive use will be made of the MyUni web site for this course, https://myuni.adelaide.edu.au/webapps/login
Course notes, tutorial problems and solutions, laboratory exercises and practice problems will all be available for downloading from the web site. Where the lecture theatre facilities permit, audio or video recordings of lectures will also be available for downloading.
Learning & Teaching Activities
Learning & Teaching ModesThis course relies on lectures as the primary delivery mechanism for the material. Tutorials supplement the lectures by providing exercises and example problems to enhance the understanding obtained through lectures. Practicals are used to provide hands-on experience for students to reinforce the theoretical concepts encountered in lectures. Continuous assessment activities provide the formative assessment opportunities for students to gauge their progress and understanding.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact Hours Workload Hours Lecture 24 Lectures 24 48 Tutorials 5 Tutorials 5 10 Practicals Computer Lab 1 3 6 Computer Lab 2 3 8 Computer Lab 3 3 8 Computer Lab 4 6 12 Test Theory part of the course 1 6 Exam (undergrad) All theory part 1.5 14 46.5 112
Learning Activities Summary
No. of Lectures
Introduction to the course and presentation of prac structure
Introduction to fabrication processes, design rules (revisited), Transistor models (revisited from third year electronics) and Layout issues and ASIC design flow
VLSI design methodology and leaf cell design
Performance estimation of CMOS complex gates and interconnected modules using logical effort
Interconnect issues, clock distribution, design margin, reliability and scaling
Static and dynamic CMOS logic families and adders design
Memory structures and operation
Low power design and system level consideration
Demonstrating the design of complex CMOS gates and transistor sizing.
CMOS Circuits layouts and delay estimation
CMOS circuits delay estimation using logical efforts
Delay path estimation using logical effort
Delay and crosstalk in interconnects
Note that practical classes begin in week 1 of the semester and run in odd weeks. Students must attend their allocated practical class, when further instructions on the operation of the laboratory session will be provided. Students should be aware of the Occupational Health and Safety issues associated with working in a laboratory environment.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment SummaryUndergraduate assessment summary:
Learning objective addressed
Computer Lab 1
Computer Lab 2
Computer Lab 3
Computer Lab 4
Assessment DetailThe examination is a hurdle requirement. It is necessary to achieve at least 40% in the exam. If this is not achieved, the total course mark will be limited to a maximum of 49.
A hurdle requirement is defined by the University's Assessment for Coursework Programs policy as "...an assessment task mandating a minimum level of performance as a condition of passing the course.
If a student fails to meet a hurdle requirement (normally no less than 40%),and is assigned a total mark for the course in the range of 45-49, then the student is entitled to an offer of additional assessment of some type. The type of assessment is to be decided by the School Assessment Review Committee when determining final results. The student’s final total mark will be entered at no more than 49% and the offer of an additional assessment will be specified eg. US01. Once the additional assessment has been completed, this mark will be included in the calculation of the total mark for the course and the better of the two results will apply. Note however that the maximum final result for a course in which a student has sat an additional assessment will be a “50 Pass”.
If a student is unable to meet a hurdle requirement related to an assessment piece (may be throughout semester or at semester’s end) due to medical or compassionate circumstances beyond their control, then the student is entitled to an offer of replacement assessment of some type. An interim result of RP will be entered for the student, and the student will be notified of the offer of a replacement assessment. Once the replacement assessment has been completed, the result of that assessment will be included in the calculation of the total mark for the course.
An assessment of work done during the lab will be conducted at the end of each lab session.
SubmissionSubmission will be through MyUni and information on the process will be provided for each assignment in due course.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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