Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Abhaya Nayak
Contact via abhaya.nayak@mq.edu.au
E6A 329
Thursday 3-4pm, or by prior appointment.
Other Staff
Rolf Schwitter
Contact via rolf.schwitter@mq.edu.au
E6A 633
Tuesdays 1-2 pm, or by prior appointment.
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
39cp and COMP125(P) or COMP249(P)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit examines selected topics in artificial intelligence (AI) and expert systems. One of the main AI languages is Prolog, that involves programming in a declarative rather than in the usual procedural manner. Since Prolog is based upon first order logic, an introduction is given to various aspects of logic – this forms a good basis upon which to understand Prolog and how it works. The unit also covers topics in artificial intelligence.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Due |
---|---|---|
Diagnostic Assessment | 10% | Week 3 |
Assignment 1 | 20% | Week 7 |
Assignment 2 | 20% | Week 12 |
Final Examination | 50% | TBA |
Due: Week 3
Weighting: 10%
In Week 2, a set of exercises will be made available online on the unit website on iLearn. You are expected to attempt all the exercises in this assessment and submit your solutions electronically (in the form of a pdf or text file) on iLearn before 6pm on Friday of Week 4.
No extensions will be granted. Late tasks will be accepted up to 48 hours after the submission deadline.There will be a deduction of 20% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 40% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved.
Due: Week 7
Weighting: 20%
The first assignment will require demonstrating your skill in (1) representing knowledge and reasoning in formal language(s), and (2) programming in Prolog.
You have to submit the solutions to these tasks as soft copies via iLearn by the due date.
No extensions will be granted. Late tasks will be accepted up to 48 hours after the submission deadline.There will be a deduction of 20% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 40% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved.
Due: Week 12
Weighting: 20%
The second assignment will require you to work in problem solving, and submit your solution together with a written document (in the form of a doc/docx/rtf or pdf file) answering several fundamental questions that test your understanding of the relevant material. The problem may involve logic programming, probabilistic reasoning, or both.
You have to submit the solutions to these tasks as soft copies via iLearn by the due date.
No extensions will be granted. Late tasks will be accepted up to 48 hours after the submission deadline.There will be a deduction of 20% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 40% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved.
Due: TBA
Weighting: 50%
The final examination will assess all the three the learning outcomes #1, #2 and #3. With regards to learning outcomes #1, it allows to accurately assess the appreciation of good logic programming and problem solving skills. With regards to learning outcome #2 and #3, it will assess students' understanding of fundamental concepts such as different types of search and inferences. The final examination accounts for 50% of the final mark.
Regarding the examination process, note that
Each week you should attend three hours of lectures, a tutorial class and a practical session. For details of days, times and rooms consult the timetables webpage. Students are urged to actively participate in the tutorials; this helps enhancing the understanding by students.
Note that practicals and tutorials commence in week 2.
You should have selected a practical session and a tutorial session during enrolment. You should attend the sessions you are enrolled in. If you do not have a class, or if you wish to change one, you should see the enrolment operators in the E7B courtyard during the first two weeks of the semester. Thereafter you should go to the Student Centre.
Please note that you are required to hand in all the assessed work in this unit. Failure to do so may result in you failing the unit or being excluded from the exam.
Textbook
There is no set textbook for the unit. The following are recommended readings. Lecturers may recommend other references.
For some parts of learning, the necessary reading (book chapters, software documentation, papers, etc.) will be made available on iLearn.
Websites
The web page for this unit can be found on iLearn.
iLecture
Digital recordings of lectures will be made available via Echo360 within iLearn. Note that depending on the lecture-room, facilitiies may be available for audio recording alone. Read these instructions for details
Technology
In this unit you will will be exposed to the following technology and tools
Discussion Boards
The unit will make use of discussion boards hosted within iLearn. Please post questions there, they will be monitored by the staff on the unit.
No significant change, however Prolog programming will be introduced early, concurrently with knowledge representation and reasoning.
Week |
Topic |
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1 |
Overview |
2-7 |
Prolog Programming; Knowledge Representation and Reasoning in AI |
8-10 |
Problem Solving as AI |
11-12 |
Uncertain Inferences in AI |
13 |
Revision |
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
Special Consideration is intended for a student who is prevented by serious and unavoidable disruption from completing any unit requirements in accordance with their ability. Consult https://ask.mq.edu.au for procedural details if you are considering applying for special consideration. Depending on the circumstances presented, the convenor may choose to give you an alternate assessment, additional time for an assessment, make-up exam, etc. If a Supplementary Examination is granted as a result of the Special Consideration process the examination will be scheduled after the conclusion of the official examination period. For details of the Special Consideration policy specific to the Department of Computing, see the Department's policy page.
In case of problems arising with your final grade, the first step is to organise a review. The Department recommends that you request an appointment with the convenor of the unit in order to review your grade. If the review does not solve the problem, a formal Grade Appeal can be lodged. See the grade appeal policy.
Plagiarism involves using the work of another person and presenting it as one's own. The Department, in line with University policy, treats all cases seriously. In particular, the Department, keeps a record of all plagiarism cases. This record is referred to so that an appropriate penalty can be applied to each case. For concrete examples, see this page.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
Our graduates will have enquiring minds and a literate curiosity which will lead them to pursue knowledge for its own sake. They will continue to pursue learning in their careers and as they participate in the world. They will be capable of reflecting on their experiences and relationships with others and the environment, learning from them, and growing - personally, professionally and socially.
This graduate capability is supported by:
Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.
This graduate capability is supported by:
We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.
This graduate capability is supported by:
Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.
This graduate capability is supported by:
Our graduates will also be capable of creative thinking and of creating knowledge. They will be imaginative and open to experience and capable of innovation at work and in the community. We want them to be engaged in applying their critical, creative thinking.
This graduate capability is supported by:
We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.
This graduate capability is supported by:
Four standards, namely Developing, Functional, Proficient, and Advanced, summarize as many different levels of achievement. Each standard is precisely defined to help students know what kind of performance is expected to deserve a certain mark. The standards corresponding to the learning outcomes of this unit are given below:
Developing | Functional | Proficient | Advanced | |
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LO#1. Use logic programming tools for representing knowledge in different domains, and solve relevant problems in those domains. |
Represents a student who has limited problem solving skills
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Represents a student who has capability to design and develop functional problem solutions using logic programming tools |
Represents a student who has capability to design and develop functional and highly maintainable problem solutions, with good documentation
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Represents a student who has capability to design and develop functional and highly maintainable problem solutions, with good documentation and has exceptional ability to solve challenging problems |
LO#2. Demonstrate understanding of the basic concepts that underlie representation of both certain and uncertain knowledge. |
Represents a student who has demonstrated inaccurate knowledge of knowledge system concepts. |
Represents a student who has demonstrated broad knowledge of knowledge system concepts but with limited understanding | Represents a student who has demonstrated critical analysis skills in fundamental knowledge system concepts | Represents a student who has demonstrated critical analysis skills in fundamental knowledge system concepts who also has exceptional analytical and critical thinking capability |
LO#3. Demonstrate ability for sound reasoning from knowledge represented in appropriate format, both in certain and uncertain domains. |
Represents a student who has not adequately demonstrated ability for sound reasoning from knowledge represented in appropriate format, both in certain and uncertain domains. | Represents a student who has demonstrated some ability for sound reasoning from appropriately represented knowledge in either certain or uncertain domain. | Represents a student who has demonstrated ability for sound reasoning from appropriately represented knowledge in both certain and uncertain domain, as well as strong analytical and critical thinking capability. | Represents a student who has demonstrated exceptional ability for sound reasoning from appropriately represented knowledge in both certain and uncertain domain reflecting exceptional analytical and critical thinking capability |
Grading
At the end of the semester, you will receive a grade that reflects your achievement in the unit
In this unit, your final grade depends on your performance in each part of the assessment. For each assessment task, you receive a mark that combines your standard of performance regarding each learning outcome assessed by this task. Then the different component marks are added up to determine your total mark out of 100. Your grade then depends on this total mark and your overall standards of performance.
On occasion your raw mark for the unit may not be the same as the Standardised Numeric Grade (SNG) which you receive as the result. Under the Senate guidelines, raw marks may be scaled to ensure that there is a degree of comparability across the university, so that units with the same past performances of their students should achieve similar results.
Concretely, in order to pass the unit, you must
In order to obtain a higher grade than a Pass, you have to fulfill additional conditions. Namely, you must demonstrate and consistently apply the knowledge you have acquired in this unit:
Date | Description |
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29/07/2014 | Consultation hours for all lecturers provided. Requirement for hard copy submission of assessment tasks removed. Reference to Departmental unit website removed. Last column in unit schedule dropped. |