COMP7011 - Sem 2 2006 - St Lucia - Internal

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Printed: 18 August 2006, 03:46PM

1. General Course Information

1.1 Course Details

Course Code: COMP7011 Course Title: Introduction to Complex Systems
Coordinating Unit: School of Information Technology and Electrical Engineering
Semester: Semester 2, 2006    Mode: Internal
Level: Postgraduate Coursework
Location: St Lucia
Number of Units: 2    Contact Hours Per Week: L1P3
Incompatible: COMP4006
Course Description: The course provides an introduction to complex systems methodologies, including computational and mathematical modelling. Student will learn to analyse and model complex systems challenges in fields as diverse as ecology, biology, economics and the intern
Assumed Background: Students are expected to have completed three years of a relevant undergraduate degree, in an area such engineering, information technology, mathematics, economics or bioinformatics. A GPA of 5.0 or above is recommended, and students should be prepared for a challenging course that requires independent research.

1.2 Course Introduction

This course brings complex systems science and engineering approaches to complex real life problems. It provides an introduction to complex systems methodologies, including computational and mathematical modelling. In addition, guest lecturers from industry and academia will describe complex systems challenges in fields as diverse as ecology, biology, economics and the internet.

1.3 Course Staff

Course Coordinator: Professor Janet Wiles
Phone: 3365 2902     Email: j.wiles@uq.edu.au Campus: St Lucia
Building: Axon Building
Room: 506
Consultation: Consultation hours will be announced at the start of semester

Lecturer: Dr Mikael Boden
Phone: 3365 2035     Email: m.boden@uq.edu.au Campus: St Lucia
Building: Axon Building
Room: 503
Consultation: Consultation hours will be announced at the start of semester

Lecturer: Dr Andre Leier
Phone: 3365 7445     Email: a.leier@uq.edu.au Campus: St Lucia
Building: Computer Science Building
Room: 713
Consultation: Consultation hours will be announced at the start of semester


1.4 Timetable

Timetables are available on mySI-net.

Additional Timetable Information

Lectures: Mon 2-4 in 78-420 (weeks 1-13)

Pracs: Tues 11-1 in 78-110 (start week 1, first half of semester only)

 


2. Aims, Objectives & Graduate Attributes

2.1 Course Aims

The course aims to provide the opportunity for students to explore complex systems science and engineering research. It is expected that upon successful completion of the course, students will: 

 

 

2.2 Learning Objectives

After successfully completing this course you should be able to:

1  What: Understanding of key terms, prototypic models and simulation methods. How: Discussion in lectures and tutorials and hands-on experience with modelling packages.
2  What: Understanding of the interdisciplinary nature of complex systems research. How: Attendance at guest lectures by researchers in other disciplines related to complex systems
3  What: Skills in collecting, analysing and reporting research results. How: Preparation of a full report on the conduct and results of the major project.
4  What: Skills with the use of software for computer simulation and modelling. How: Independent work and tutorial sessions on appropriate software
5  What: Capacity for independent research and the ability to generate ideas and adapt innovatively to changing environments. How: Conduct of a major research project in complex systems modelling.
6  What: Ability to generate and assess a research project. How: Preparations and conduct of research and analysis of results as part of major project.

2.3. Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Postgrad Coursework) graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
A. IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A2. A broad understanding of the field of study, including how other disciplines relate to the field of study.  
A3. A comprehensive and in-depth knowledge in the field of study. 
A5. An international perspective on the field of study.2
B. EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.3
B2. The ability to interact effectively with others in order to work towards a common outcome. 
B3. The ability to select and use the appropriate level, style and means of communication.3
B4. The ability to engage effectively and appropriately with information and communication technologies.3, 4
B5. The ability to practise as part of an interdisciplinary team. 
C. INDEPENDENCE AND CREATIVITY
C2. The ability to work and learn independently and effectively. 
C3. The ability to generate ideas and adapt innovatively to changing environments.5
C5. The ability to formulate and investigate problems, create solutions, innovate and improve current practices. 
C6. The abilities and skills that provide a foundation for future leadership roles. 
D. CRITICAL JUDGEMENT
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.6
D4. The ability to process material and to critically analyse and integrate information from a wide range of sources. 
D5. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions using an evidence-based approach. 
E. ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility. 
E3. An appreciation of the philosophical and social contexts of a discipline. 
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study.6
E5. A knowledge of other cultures and times and an appreciation of cultural diversity. 
E7. The ability to work effectively and sensitively across all areas of society. 
E8. An understanding of and respect for the roles and expertise of associated disciplines. 

Successfully completing this course will contribute to the recognition of your attainment of the following Engineers Australia graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
1. Ability to apply knowledge of basic science and engineering fundamentals1, 6
2. Ability to communicate effectively, not only with engineers, but also with the community at large2, 3, 4
3. In-depth technical competence in at least one engineering discipline1, 5
4. Ability to undertake problem identification, formulation and solution6
5. Ability to utilise a systems approach to design and operational performance5, 6
6. Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a team leader or manager as well as an effective team member2, 4, 5, 6
7. Understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and for the need for sustainable development 
8. Understanding of the principles of sustainable design and development 
9. Understanding of and commitment to professional and ethical responsibilities6
10. Expectation and capacity to undertake life-long learning 

3. Learning Resources

3.1 Required Resources

None  
 

3.2 Recommended Resources

Ricard Sole and Brian Goodwin (2000) "How Complexity Pervades Biology"  
 

3.3 University Learning Resources

Access to required and recommended resources, plus past central exam papers, is available at the UQ Library website (http://library.uq.edu.au/search/r?SEARCH=COMP7011).

The University offers a range of resources and services to support student learning. Details are available on the myServices website (https://student.my.uq.edu.au/).

3.4 School of Information Technology and Electrical Engineering Learning Resources

Students enrolled at St Lucia who wish to retain a hard copy of this profile can use the free print quota provided each semester to students enrolled in courses in the School of Information Technology & Electrical Engineering. For information on how to use this print quota, see the School Policy on Student Photocopying and Printing (St Lucia) (http://www.itee.uq.edu.au/about_ITEE/policies/copy-print.html). Students enrolled at the Ipswich campus will either be provided with a hard copy or given directions in class on how to obtain a free copy.

ITEE course websites can be found at http://www.itee.uq.edu.au/~COURSECODE. Many ITEE courses also have Usenet newsgroups, named uq.itee.COURSECODE. Instructions for accessing newsgroups are available at http://studenthelp.itee.uq.edu.au/faq/1stYearFAQ.html#accessnews.

3.5 Other Learning Resources & Information

Textbook
There is no prescribed text book.
Reference Texts
For background reading, see Ricard Sole and Brian Goodwin (2000) "How Complexity Pervades Biology" Perseus Books.
Many other popular texts on complex systems are available. Background and further readings are linked to the course web page and will be updated throughout the course.
Handouts
Handouts will be available from the course web page.
Facilities
Tutorials will be held in 78-110 (standard computer lab) and in 78-420.
Consultation
Consultation times will be announced at the first lecture. Appointments can be made by email.
Distribution of Notices
Notices will be posted to the newsgroup uq.itee.comp4006
Web
The course web site is available at http://www.itee.uq.edu.au/~comp4006
The course web site will contain the lecture schedule, links to the course profile, software, further deliverables, announcements etc.
Newsgroup
The course newsgroup is uq.itee.comp4006. This group is available on both the University and School news servers (news.uq.edu.au and news.itee.uq.edu.au).
Students are free to post questions (and answers!) to the newsgroup. Copies of announcements will also be posted to the newsgroup. The teaching staff will monitor the newsgroup.

4. Teaching & Learning Activities & Modes

4.1 Learning Activities

Date
Activity
Learning Objectives
24 Jul 06
Lectures (Lecture Series):
1, 2
31 Jul 06
Lab sessions (Tutorial Series):
1, 3, 4, 5, 6

4.2 Teaching & Learning Modes

Lectures
There is one 2-hour lecture each week
Tutorials/Pracs
Prac sessions /Tutorials will be used to reinforce understanding of the course material. Active student participation is expected.
Attendance
You are not required to attend any of the teaching sessions (except those in which an assessment activity is taking place), however, you are strongly encouraged to do so. The lectures, tutorials and pracs have been specifically designed to aid your learning of the course material. Failure to attend a session may result in you being disadvantaged. It is up to you to find out what happened at any class session that you miss.

5. Assessment

5.1 Assessment Summary

Assessment Task
Due Date
Weighting
Learning Objectives
Participation in Lectures and Tutorials
Participation
Starts week 1
10%
1, 2, 3, 4, 5, 6
Assignments
Assignment 1. Review a simulation tool
Details available in Week 1
10%
1, 4
Assignments
Assignment 2. Model a complex system
Details available in Week 1
50%
1, 3, 4, 5, 6
Exam - during Exam Period (School)
Final exam
Examination Period
30%
1, 2, 6

5.2 Course Grading


Grade 1, Fail: Fails to demonstrate most or all of the basic requirements of the course:

Final mark of 19 or lower.



Grade 2, Fail: Demonstrates clear deficiencies in understanding and applying fundamental concepts; communicates information or ideas in ways that are frequently incomplete or confusing and give little attention to the conventions of the discipline:

Final mark of 20-44.



Grade 3, Fail: Demonstrates superficial or partial or faulty understanding of the fundamental concepts of the field of study and limited ability to apply these concepts; presents undeveloped or inappropriate or unsupported arguments; communicates information or ideas with lack of clarity and inconsistent adherence to the conventions of the discipline:

Final mark of 45-49
(final mark is calculated using exam+assignment+participation with a capping based on Assignment 2 mark and exam - see below)



Grade 4, Pass: Demonstrates adequate understanding and application of the fundamental concepts of the field of study; develops routine arguments or decisions and provides acceptable justification; communicates information and ideas adequately in terms of the conventions of the discipline:

FInal mark of 50-64
(final mark is calculated using exam+assignment+participation with a capping based on Assignment 2 mark and exam - see below)



Grade 5, Credit: Demonstrates substantial understanding of fundamental concepts of the field of study and ability to apply these concepts in a variety of contexts; develops or adapts convincing arguments and provides coherent justification; communicates information and ideas clearly and fluently in terms of the conventions of the discipline:

Final mark of 64-74
(final mark is calculated using exam+assignment+participation with a capping based on Assignment 2 mark and exam - see below)



Grade 6, Distinction: As for 5, with frequent evidence of originality in defining and analysing issues or problems and in creating solutions; uses a level, style and means of communication appropriate to the discipline and the audience:

Final mark of 75-84
(final mark is calculated using exam+assignment+participation with a capping based on Assignment 2 mark and exam - see below)



Grade 7, High Distinction: As for 6, with consistent evidence of substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem solving approaches; critically evaluates problems, their solutions and implications:

Final mark of 85 or higher
final mark is calculated using exam+assignment+participation with a capping based on Assignment 2 mark and exam - see below)



Other Requirements & Comments :

The final mark will be calculated using the following table.

Assignment 2 and Exam

Final mark
Exam (30%), Assignments (60%), Participation (10%)

50% or better in the Exam and
50% or better in Assignment 2

Exam+assignments+participation

Less than 50% in one or both of
the Exam and Assignment 2.

Exam+assignments+participation capped at 49

Note that the above table means that you must pass both Assignment 2 and the Exam to pass the course. 


5.3 Late Submission

Submission:
Submission of the assignments will be via the online submission system at www.itee.uq.edu.au. There will normally be only a short grace period so that submissions from overloaded machines will not be rejected. It is recommended that you submit your assignments before the due date and time.

Late Submission:
Any late submissions of assignments will also be submitted to the online submission system. Except in the case of lecturer-approved extensions, late submissions will be penalised 10% of the possible marks per day, and submissions more than 5 days late will not be graded.

5.5 Assessment Detail


Participation
Type: Participation in Lectures and Tutorials
Learning Objectives Assessed: 1, 2, 3, 4, 5, 6
Due Date:
         Starts week 1
Weight: 10%
Task Description: Attendance and participation in lectures and tutorials will be assessed.
Criteria & Marking:

1 mark will be given for each lecture and tutorial in which the student actively participates through discussion, and asking or answering questions.

Total number of marks will be normalised by the number of assessable sessions.

 



Assignment 1. Review a simulation tool
Type: Assignments
Learning Objectives Assessed: 1, 4
Due Date:
         Details available in Week 1
Weight: 10%
Task Description:

The first assignment aims to develop understanding of the software tools available via a detailed investigation of the strengths and weaknesses of one simulation package and listening to presentations about other packages.
Task: Investigate a software package useful for agent-based or mathematical modelling of complex systems; produce a short report in html format (1000 words) and present a 15 minute talk (including a demonstration). See the assignment specification for more details.
The assignment specification will be available from the course web page in week 1.


Criteria & Marking: Will be available with the Assignment spec in week 1.
Submission: via the online submission system

Assignment 2. Model a complex system
Type: Assignments
Learning Objectives Assessed: 1, 3, 4, 5, 6
Due Date:
         Details available in Week 1
Weight: 50%
Task Description: The second assignment is aimed at developing research skills in complex systems analysis or applying tools to a complex problem and gaining experience in practical applications through ones own as well as class discussions of other projects. See the assignment specification for more details and a detailed breakdown of the marks assigned to stages of the project.
The assignment specification will be available from the course web page in week 1.
Criteria & Marking: Will be available in week 1.
Submission: Via the online submission system

Final exam
Type: Exam - during Exam Period (School)
Learning Objectives Assessed: 1, 2, 6
Due Date:
         Examination Period
Weight: 30%
Perusal: 10 minutes
Duration: 120 minutes
Task Description:

A two hour examination will be held during the final examination period. This exam will be closed-book and will contain both short-answer and essay questions. You may bring a battery-operated non-programmable calculator. Programmable calculators and other computing or communication devices are NOT permitted. Multiple choice questions may be included. You will require a HB or 2B pencil and an eraser to complete the exam.


Criteria & Marking: The exam will be marked by the lecturers.

6. Policies & Guidelines

 
This section contains the details of and links to the most relevant policies and course guidelines. For further details on University Policies please visit myAdvisor and the University Handbook of Policies and Procedures.

6.1 Assessment Related Policies and Guidelines

University Policies & Guidelines

An overview of the University’s assessment-related policies can be found on myAdvisor (http://www.uq.edu.au/myadvisor/index.html?page=2910).  Students should refer to section 3.30 Assessment in the University Handbook of Policies and Procedures (http://www.uq.edu.au/hupp/index.html?page=25108) for full details on all assessment-related policies.

Academic Integrity & Plagiarism
It is the University's task to encourage ethical scholarship and to inform students and staff about the institutional standards of academic behaviour expected of them in learning, teaching and research. Students have a responsibility to maintain the highest standards of academic integrity in their work. Students must not cheat in examinations or other forms of assessment and must ensure they do not plagiarise.

The University has adopted the following definition of plagiarism:

Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.

The following are examples of plagiarism where appropriate acknowledgement or referencing of the author or source does not occur:

  • Direct copying of paragraphs, sentences, a single sentence or significant parts of a sentence;
  • Direct copying of paragraphs, sentences, a single sentence or significant parts of a sentence with an end reference but without quotation marks around the copied text;
  • Copying ideas, concepts, research results, computer codes, statistical tables, designs, images, sounds or text or any combination of these;
  • Paraphrasing, summarising or simply rearranging another person's words, ideas, etc without changing the basic structure and/or meaning of the text;
  • Offering an idea or interpretation that is not one's own without identifying whose idea or interpretation it is;
  • A 'cut and paste' of statements from multiple sources;
  • Presenting as independent, work done in collaboration with others;
  • Copying or adapting another student's original work into a submitted assessment item.

You are encouraged to read the UQ Academic Integrity and Plagiarism policy (http://www.uq.edu.au/hupp/index.html?page=25128) which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.

Feedback on Assessment
Feedback is essential to effective learning and students can expect to receive appropriate and timely feedback on all assessment.

For a detailed explanation of the feedback you are entitled to, you should consult the policy on Student Access to Feedback on Assessment. (http://www.uq.edu.au/hupp/index.html?page=25114)

As a student you have a responsibility to incorporate feedback into your learning; make use of the assessment criteria that you are given; be aware of the rules, policies and other documents related to assessment; and provide teachers with feedback on their assessment practices.

There are certain steps you can take if you feel your result does not reflect your performance. Please refer to the myAdvisor web site (http://www.uq.edu.au/myadvisor/index.html?page=2953).

School of Information Technology and Electrical Engineering Assessment Guidelines

Misconduct
 

Further to the statement on academic integrity and plagiarism above, students are required to read and understand the ITEE policy on Student Misconduct (http://www.itee.uq.edu.au/about_ITEE/policies/student-misconduct.html).

 

Late Arrival or Non-attendance at Examinations

 

The policy and procedure for late arrival or non-attendance at centrally controlled examinations is set out in the University's Examinations policy (HUPP 3.30.5), sections 8 and 10.2.

 

The way in which late arrival at a School-controlled examination is dealt with will be at the discretion of the course coordinator, who may be guided by the policy for centrally controlled exams.

 

In the case that a student requests a special exam for a School-controlled exam, the request will be considered and, if allowed, the timing shall be determined by the course coordinator, in consultation with the School's Chief Examiner where necessary, and in accordance with HUPP 3.30.5. Unless otherwise indicated in the Course Profile, applications must be made in writing to the Head of School no later than one week after the exam. Late applications will not be accepted.

 
Examination Feedback
 
In addition to the advice above, students wishing to view examination answer scripts and/or question papers should consult with the School office (Room 217, General Purpose South Building [78], St Lucia; Room 218, Building 1, Ipswich) regarding arrangements. The ITEE policy on exam script viewing is available at http://study.itee.uq.edu.au/current_students/exam_script_viewing.html.

Supplementary Assessment

If you fail this course you may be eligible for supplementary assessment - see the general award rules and/or your program rules for details. You should note that even though you may be eligible for supplementary assessment under these rules, in some circumstances there may be no practical assessment that can be offered to allow you to meet the minimum passing requirements. These circumstances may include failure based on:
  • group or team based assessment;
  • attendance or class participation requirements;
  • laboratory-based assessment, where laboratories can't practically be made available after classes have finished;
  • project or thesis-based assessment, where a significant period of time would be required to undertake supplementary assessment;
  • progressive assessment, where subsequent assessment items build on earlier assessment items; or
  • multiple assessment items, where it is impractical to offer multiple supplementary assessment items.
If the course coordinator determines that there is no practical supplementary assessment that can be offered to allow you to improve your grade, then you will not be offered supplementary assessment and your grade will remain unchanged.

6.2 Other Policies and Guidelines

University Policies and Guidelines

Placement Courses
Students on a placement course – also known as a work placement, internship, industry study, industry experience, clinical practice, clinical placement, practical work, practicum, fieldwork, teaching practice – should refer to the University policy, Placement Courses (http://www.uq.edu.au/hupp/index.html?page=25120) for detailed information.

Working with Children
Students whose studies include a professional/work placement, internship, clinical practice, teaching practice or other similar activity which involves them in regular contact with children should refer to the University policy, Working with Children Check - "blue card" (http://www.uq.edu.au/hupp/index.html?page=25004) to find out how to apply for a 'blue card'.

Students with a Disability
Any student with a disability who may require alternative academic arrangements, including assessment, in the course/program is encouraged to seek advice at the commencement of the semester from a Disability Adviser at Student Support Services.  Refer to the University policy, Students with a Disability (Disability Action Plan) (http://www.uq.edu.au/hupp/index.html?page=25122) and to the policy on Special Arrangements for Examinations for Students with a Disability (http://www.uq.edu.au/hupp/index.html?page=25111)

Where an adjustment is made to an accredited program, it is the responsibility of the relevant Faculty to liaise with professional and registration bodies regarding the acceptability of the change/s. 

Occupational Health and Safety
Undergraduate Students (http://www.uq.edu.au/hupp/index.html?page=25055) and Postgraduate Students (http://www.uq.edu.au/hupp/index.html?page=25057) should be familiar with the University policies on occupational health and safety in the laboratory.

Other School of Information Technology and Electrical Engineering Guidelines

Ethical Clearance
If your course involves assignment or project work involving human subjects or human-related materials, you must investigate the need for ethical clearance and obtain it when required. Information on ethical clearance can be found at http://www.uq.edu.au/research/orps/index.html?page=5064&pid=5256.

Learning Summary

 

Below is a table showing the relationship between the learning objectives for this course and the broader graduate attributes developed, the learning activities used to develop each objective and the assessment task used to assess each objective.

Learning Objectives

After successfully completing this course you should be able to:

1  What: Understanding of key terms, prototypic models and simulation methods. How: Discussion in lectures and tutorials and hands-on experience with modelling packages.
2  What: Understanding of the interdisciplinary nature of complex systems research. How: Attendance at guest lectures by researchers in other disciplines related to complex systems
3  What: Skills in collecting, analysing and reporting research results. How: Preparation of a full report on the conduct and results of the major project.
4  What: Skills with the use of software for computer simulation and modelling. How: Independent work and tutorial sessions on appropriate software
5  What: Capacity for independent research and the ability to generate ideas and adapt innovatively to changing environments. How: Conduct of a major research project in complex systems modelling.
6  What: Ability to generate and assess a research project. How: Preparations and conduct of research and analysis of results as part of major project.


Assessment & Learning Activities

  Learning Objectives
  1 2 3 4 5 6
Learning Activities
Lectures (Lecture Series)
selected
selected
       
Lab sessions (Tutorial Series)
selected
 
selected
selected
selected
selected
Assessment Tasks
Participation
selected
selected
selected
selected
selected
selected
Assignment 1. Review a simulation tool
selected
   
selected
   
Assignment 2. Model a complex system
selected
 
selected
selected
selected
selected
Final exam
selected
selected
     
selected

Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Postgrad Coursework) graduate attributes:

  Learning Objectives
  1 2 3 4 5 6
Graduate Attributes
A IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A2. A broad understanding of the field of study, including how other disciplines relate to the field of study.            
A3. A comprehensive and in-depth knowledge in the field of study.            
A5. An international perspective on the field of study.  
selected
       
B EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.    
selected
     
B2. The ability to interact effectively with others in order to work towards a common outcome.            
B3. The ability to select and use the appropriate level, style and means of communication.    
selected
     
B4. The ability to engage effectively and appropriately with information and communication technologies.    
selected
selected
   
B5. The ability to practise as part of an interdisciplinary team.            
C INDEPENDENCE AND CREATIVITY
C2. The ability to work and learn independently and effectively.            
C3. The ability to generate ideas and adapt innovatively to changing environments.        
selected
 
C5. The ability to formulate and investigate problems, create solutions, innovate and improve current practices.            
C6. The abilities and skills that provide a foundation for future leadership roles.            
D CRITICAL JUDGEMENT
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.          
selected
D4. The ability to process material and to critically analyse and integrate information from a wide range of sources.            
D5. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions using an evidence-based approach.            
E ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.            
E3. An appreciation of the philosophical and social contexts of a discipline.            
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study.          
selected
E5. A knowledge of other cultures and times and an appreciation of cultural diversity.            
E7. The ability to work effectively and sensitively across all areas of society.            
E8. An understanding of and respect for the roles and expertise of associated disciplines.            

Successfully completing this course will contribute to the recognition of your attainment of the following Engineers Australia graduate attributes:

  Learning Objectives
  1 2 3 4 5 6
Graduate Attributes
1. Ability to apply knowledge of basic science and engineering fundamentals
selected
       
selected
2. Ability to communicate effectively, not only with engineers, but also with the community at large  
selected
selected
selected
   
3. In-depth technical competence in at least one engineering discipline
selected
     
selected
 
4. Ability to undertake problem identification, formulation and solution          
selected
5. Ability to utilise a systems approach to design and operational performance        
selected
selected
6. Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a team leader or manager as well as an effective team member  
selected
 
selected
selected
selected
7. Understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and for the need for sustainable development            
8. Understanding of the principles of sustainable design and development            
9. Understanding of and commitment to professional and ethical responsibilities          
selected
10. Expectation and capacity to undertake life-long learning