Students

ELEC2042 – Digital Circuits and Systems

2022 – Session 2, In person-scheduled-weekday, North Ryde

General Information

Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff Convenor
Rex Di Bona
Contact via Private message on iLearn
Level 1, 50 Waterloo Road
Friday 2-3:30pm by appointment
Unit Co-convenor
Alan Kan
Contact via Private message on iLearn
Level 1, 50 Waterloo Road
Friday 2-3:30 pm
Credit points Credit points
10
Prerequisites Prerequisites
COMP115 or COMP1000
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit aims to provide students with an understanding of, and fluency in, combinational and sequential logic design techniques commonly used in the design of large-scale digital systems, as well as exposure to hardware description languages. Students will apply this knowledge to the design and implementation of digital circuits and systems at the gate level, and also program field programmable gate arrays.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • ULO2: Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.
  • ULO3: Design fast and efficient combinatorial logic circuits at the gate level.
  • ULO4: Implement digital logic circuits and systems using individual integrated circuit components, as well as with hardware description language on an FPGA
  • ULO5: Describe the principle and operation of field programmable gate arrays (FPGAs)

General Assessment Information

Grading and passing requirement for unit

In order to pass this unit a student must obtain a mark of 50 or more for the unit (i.e. obtain a passing grade P/ CR/ D/ HD).

For further details about grading, please refer below in the policies and procedures section.

Hurdle Requirements

There are three hurdle requirements for passing this unit. Participation in practical sessions is a hurdle requirement. Students are required to participate in at least 75% of practical sessions to pass this unit. You must score 50% or more in Quiz 2 to pass the hurdle. You will be offered a second attempt at Quiz 2 if you fail to meet the minimum required mark to pass the hurdle. You must score 50% or more for the Complex Design Task to pass the hurdle. 

Late Assessment Submission Penalty 

From 1 July 2022, Students enrolled in Session based units with written assessments will have the following university standard late penalty applied. Please see https://students.mq.edu.au/study/assessment-exams/assessments for more information.    Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of '0' will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical concern.    For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.  

Assessments where Late Submissions will be accepted 

In this unit, late submissions will accepted as follows: 

  • Student Engagement - NO, unless Special Consideration is Granted 
  • Quiz 1, 2, 3 - NO, unless Special Consideration is Granted 
  • Minor Project - YES, Standard Late Penalty applies
  • Complex Design Task - YES, Standard Late Penalty applies

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI assisted?
Student Engagement 10% Yes Each Week No
Quiz 1 10% No Week 4 No
Quiz 2 10% Yes Week 8 No
Quiz 3 10% No Week 12 No
Minor Project 20% No Week 8 No
Complex Design Task 40% Yes Week 13 No

Student Engagement

Assessment Type 1: Programming Task
Indicative Time on Task 2: 12 hours
Due: Each Week
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

 

Students are expected to actively participate in the programming learning activities with a developing level of independence. Before each practical session students may be required to complete preparatory work in a log book. During the practical sessions students must also complete their work and keep a log book of their work.

 


On successful completion you will be able to:
  • Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.
  • Design fast and efficient combinatorial logic circuits at the gate level.
  • Implement digital logic circuits and systems using individual integrated circuit components, as well as with hardware description language on an FPGA

Quiz 1

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: Week 4
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:

 

The first in a series of Quizzes that covers the material taught to date in the unit. This quiz will concentrate on Numbers, Boolean Algebra, Karnaugh Maps, Sum of Products and Combinatorial Logic.

 


On successful completion you will be able to:
  • Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.

Quiz 2

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: Week 8
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

 

The second in a series of Quizzes that covers the material taught to date in the unit. This quiz will concentrate on Sequential logic, Counters and State Machines

 


On successful completion you will be able to:
  • Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.
  • Design fast and efficient combinatorial logic circuits at the gate level.

Quiz 3

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: Week 12
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:

 

The third in a series of Quizzes that covers the material taught to date in the unit. This quiz will concentrate on HDL

 


On successful completion you will be able to:
  • Design fast and efficient combinatorial logic circuits at the gate level.
  • Implement digital logic circuits and systems using individual integrated circuit components, as well as with hardware description language on an FPGA
  • Describe the principle and operation of field programmable gate arrays (FPGAs)

Minor Project

Assessment Type 1: Design Task
Indicative Time on Task 2: 15 hours
Due: Week 8
Weighting: 20%
Groupwork/Individual:
Short extension 3: No
AI assisted?:

 

This is the first design assignment. You will take the knowledge about digital circuits presented so far and design a circuit to perform a given task.

 


On successful completion you will be able to:
  • Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.

Complex Design Task

Assessment Type 1: Design Task
Indicative Time on Task 2: 25 hours
Due: Week 13
Weighting: 40%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

 

This assignment is a design assignment. You must design and present a state machine to solve the project outline given. A rubric will be issued to indicate what is being looked for in the assignment.

 


On successful completion you will be able to:
  • Apply Karnaugh-map and boolean algebra techniques to minimise combinatorial logic truth tables.
  • Relate state-diagrams, truth tables, wave forms and logic equations as different representations of the same synchronous sequential machine.
  • Design fast and efficient combinatorial logic circuits at the gate level.
  • Implement digital logic circuits and systems using individual integrated circuit components, as well as with hardware description language on an FPGA

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.

3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.

Delivery and Resources

Each week students are expected to attend a 2-hour lectorial and a 3-hour practical session on campus. There is pre-work that needs to be completed before each practical session, which may include watching videos and completing exercises. 

This is a hands-on unit, centred around physical circuits. We will be using physical trainer boards to build digital circuits and experiment with those circuits, along with buidling full digital systems on an FPGA. All students are expected to attend their practical session on campus to access the hardware. To describe digital circuits and systems, we will be using Xilinx Vivado Design tools which allows simulation and synthesis of designs. The software is available on the computers in the lab, but students are also expected to install it onto their own computers so that they can do the pre-work. You will need a Windows laptop with a minimum of 8 GB RAM and ~40 GB hard drive space.

The text book for this unit is Introduction to Logic Circuits & Logic Design with Verilog, 2nd Edition by Brock J. LaMeres. It is available free of charge to students through the library. 

 

Unit Schedule

Topics covered in this unit include: analog-to-digital conversion, Boolean algebra, logic gates, digital circuit design techniques, combinational logic, state machines, hardware description languages, and field programmable gate arrays. 

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

The Writing Centre

The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via AskMQ, or contact Service Connect.

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Changes from Previous Offering

In response to student feedback, the final exam has been replaced with 3 quizzes throughout the semester to provide more timely feedback on learning progress. The complex design task is now a hurdle for passing the unit.

Engineers Australia Competency Mapping

EA Competency Standard

Unit Learning Outcomes

Knowledge and Skill Base

1.1 Comprehensive, theory-based understanding of the underpinning fundamentals applicable to the engineering discipline.

2

1.2 Conceptual understanding of underpinning maths, analysis, statistics, computing.

1,3

1.3 In-depth understanding of specialist bodies of knowledge

1,4,5

1.4 Discernment of knowledge development and research directions

 

1.5 Knowledge of engineering design practice

 

1.6 Understanding of scope, principles, norms, accountabilities of sustainable engineering practice.

 

Engineering Application Ability

2.1 Application of established engineering methods to complex problem solving

1,4,5

2.2 Fluent application of engineering techniques, tools and resources.

1

2.3 Application of systematic engineering synthesis and design processes.

4

2.4 Application of systematic approaches to the conduct and management of engineering projects.

 

Professional and Personal Attributes

3.1 Ethical conduct and professional accountability.

 

3.2 Effective oral and written communication in professional and lay domains.

 

3.3 Creative, innovative and pro-active demeanour.

 

3.4 Professional use and management of information.

 

3.5 Orderly management of self, and professional conduct.

 

3.6 Effective team membership and team leadership

 


Unit information based on version 2022.04 of the Handbook