1 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Faculty of Engineering and Information Sciences School of Computing and Information Technology Subject Outline INFO911 Data Mining and Knowledge Discovery Autumn Session 2022 Wollongong, South Western Sydney On Campus UOW may need to change teaching locations and/or teaching delivery at short notice to ensure the safety and well-being of students and staff in response to the COVID-19 pandemic or other public health requirements. Credit Points: 6 Pre-requisites: Nil Co-requisites: Nil Equivalences (or not to count with): INFO411 2 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Table of Contents Section A: Subject Information ............................................................................................... 4 Subject Contacts ............................................................................................................... 4 Subject Details ................................................................................................................. 5 Subject Description ....................................................................................................... 5 Subject Learning Outcomes ............................................................................................ 5 Assessment Summary .................................................................................................... 5 Student Workload.......................................................................................................... 5 Subject Changes and Response to Student Feedback ........................................................... 5 Extraordinary Changes to the Subject Outline .................................................................... 6 Learning Analytics ........................................................................................................ 6 Your Privacy - Lecture Recording.................................................................................... 6 Additional Information About This Subject ....................................................................... 6 ELearning, Readings, References and Materials..................................................................... 6 Subject ELearning ......................................................................................................... 6 Major Text ................................................................................................................... 6 Recommended Readings ................................................................................................ 7 References ................................................................................................................... 7 Other Resources ............................................................................................................ 7 Additional Requirements / Materials to be Purchased.......................................................... 7 Lectures and Other Learning Activities................................................................................. 8 Lecture and Contact Hours ............................................................................................. 8 Minimum Attendance Requirements ................................................................................ 8 Lecture Recordings........................................................................................................ 8 Lecture Schedule........................................................................................................... 9 Section B: Assessment..........................................................................................................11 Assessment Tasks ............................................................................................................11 Minimum Performance Requirements..............................................................................11 Requirements Related to Student Contributions.................................................................11 Referencing .................................................................................................................11 Detailed Assessment Information....................................................................................11 Academic Integrity .......................................................................................................13 Submission and Return of Assessments ...............................................................................13 Procedures for the Submission and Return of Assessed Work..............................................13 Late Submission of Assessment Tasks and Penalties ..........................................................13 3 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Extensions...................................................................................................................14 Retention of Submitted Work .........................................................................................14 General Assessment Information ........................................................................................14 Academic Consideration................................................................................................14 Reasonable Adjustment .................................................................................................14 Deferred Exams ...........................................................................................................15 Supplementary Assessment............................................................................................15 Scaling .......................................................................................................................15 Student Academic Complaints Policy ..............................................................................15 Assessment Quality Cycle .............................................................................................15 UOW Grade Descriptors ...............................................................................................15 Section C: General Advice for Students...................................................................................17 Student Support ...............................................................................................................17 Student Advocacy Service .............................................................................................17 Faculty of Engineering & Information Sciences - Student Central ........................................17 Student Support Adviser (SSA) ......................................................................................17 Library Services ...........................................................................................................17 Policies and Guidelines .....................................................................................................18 Copyright © 2022 University of Wollongong The original material prepared for this guide is covered by copyright. Apart from fair dealing for the purposes of private study, research, criticism or review, as permitted under the Copyright Act 1968 (Cth), no part may be reproduced by any process without written permission. 4 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Section A: Subject Information SUBJECT CONTACTS Subject Coordinator Name Dr David Gunawan Telephone 42213825 Email
[email protected] Room 39C.164 Consultation Times Tuesday 09:30 - 11:30 (subject to change) Wednesday 09:30 - 11:30 (subject to change) Subject Coordinator Name Professor Lei Wang Telephone 42213771 Email
[email protected] Room 3.219 Consultation Times Tuesday 09:30 - 11:30 Wednesday 09:30 - 11:30 5 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 SUBJECT DETAILS Subject Description Introduction to Data Mining, Knowledge Discovery, and Big Data with coverage of Data Structures, role of Data Quality and per-processing, Association Rules, Artificial Neural Networks, Support Vector methods, Tree Based Methods, Clustering and Classification Methods, Regression and Statistical Methods, Overfitting and Inferential issues, Evaluation, Use of Data Mining packages with applications for benchmark and real world situations. Subject Learning Outcomes On successful completion of this subject, students will be able to: 1. Identify useful relationships and important subgroups in large data sets. 2. Suggest appropriate approaches and solutions to given data mining problems. 3. Plan and carry out analyses of large and complex data sets. 4. Use parametric, non-parametric, and probabilistic methods to model data in various domains. 5. Analyse and interpret results 6. Use data mining software such as R as well as use relevant plugins and software packages. 7. Analyse data mining algorithms and techniques. 8. Understand the role and challenges of methods in Big Data applications. 9. Identify and distinguish data mining applications from other IT applications. 10. Describe data mining algorithms. 11. Compare the applicability of data mining applications. Assessment Summary No. Assessment Name Assessment Weight Mapping to Subject Learning Outcome Task Due 1 Individual Assignment 15% SLO1, SLO3, SLO4, SLO5, SLO8, SLO11 15 Apr 2022 (Friday in Session Week 7) Final submission time: 11:59pm 2 Individual assignment 15% SLO1, SLO3, SLO4, SLO5, SLO8, SLO6, SLO7 27 May 2022 (Friday in Session Week 12) Final submission time: 11:59pm 3 Group project 20% SLO1, SLO10, SLO11, SLO3, SLO4, SLO5, SLO7, SLO8, SLO2 15 May 2022 (Sunday in Session Week 10) Final submission time: 11:59pm 4 Final Exam 50% SLO10, SLO11, SLO8, SLO9 UOW Exam Period Detailed assessment information is available in Section B of the subject outline. Student Workload Students should note that UOW policy equates 1 credit point with 2 hours of study per week, including lectures and tutorials/workshops/practicals, self-directed study and work on assessment tasks. For example, in a 6 credit point subject, a total of 12 hours of study per week is expected. Subject Changes and Response to Student Feedback The School is committed to continual improvement in teaching and learning and takes into consideration student feedback from many sources. These sources include direct student feedback to tutors and lecturers, feedback through Student Services and the Faculty Central, and responses to the Subject Evaluation Surveys. This information is also used to inform comprehensive reviews of subjects and courses. 6 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Extraordinary Changes to the Subject Outline In extraordinary circumstances the provisions stipulated in this Subject Outline may require amendment after the Subject Outline has been distributed. All students enrolled in the subject must be notified and have the opportunity to provide feedback in relation to the proposed amendment, prior to the amendment being finalised. Learning Analytics "Where Learning Analytics data (such as student engagement with Moodle, access to recorded lectures, University Library usage, task marks, and use of SOLS) is available to the Subject Coordinator, this may be used to assist in analysing student engagement, and to identify and recommend support to students who may be at risk of failure. If you have questions about the kinds of data the University uses, how we collect it, and how we protect your privacy in the use of this data, please refer to https://www.uow.edu.au/about/privacy/index.html". Your Privacy - Lecture Recording In accordance with the Student Privacy & Disclosure Statement, when undertaking our normal teaching and learning activities, the University may collect your personal information. This collection may occur incidentally during the recording of lectures in equipped venues (i.e., when your identity can be ascertained by your image, voice or opinion), therefore the University further advises students that: • Lecture recordings are made available to students, university staff, and affiliates, securely on the university's Echo360 ALP (Active Learning Platform) and via the subject Moodle eLearning site; • Recordings are made available only for which they were recorded, for example, as a supplemental study tool or to support equity and access to educational resources; • Recordings are stored securely for up to four years. If you have any concerns about the use or accuracy of your personal information collected in a lecture recording, you may approach your Subject Coordinator to discuss your particular circumstances. The University is committed to ensuring your privacy is protected. If you have a concern about how your personal information is being used or managed please refer to the University's Privacy Policy or consult our Privacy webpage https://www.uow.edu.au/privacy/ Additional Information About This Subject Not applicable. ELEARNING, READINGS, REFERENCES AND MATERIALS Subject eLearning The University uses the eLearning system Moodle to support all coursework subjects. To access eLearning you must have a UOW user account name and password, and be enrolled in the subject. eLearning is accessed via SOLS (Student Online Service). Log on to SOLS and then click on the eLearning link in the menu column. The University is committed to providing a safe, respectful, equitable and orderly environment for the University community, and expects each member of that community to behave responsibly and ethically. Students must comply with the University's Student Conduct Rules and related policies including the IT Acceptable Use Policy and Bullying Prevention Policy, whether undertaking their studies face-to-face, online or remotely. For more information on appropriate communication and etiquette in the online environment please refer to the guide Online and Email Etiquette. Major Text Main textbook: [1] Pang-Ning Tan, Micheale Steinbach, Vipin Kumar, "Introduction to Data Mining", Addison Wesley, 2006, ISBN 0-321-32136-7 Other textbooks: 7 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 [2] A. B. M. Shawkat Ali, Saleh A. Wasimi, "Data Mining:Methods and Techniques", Thomson, 2007, ISBN 978-0-17-013676-1 [3] Ian H. Witten, Eibe Frank "Data Mining Practical Machine Learning Tools and Techniques", Elsevier inc., 2005, ISBN 0-12-088407-0 [4] Jiawei Han, Micheline Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann publishers, 2006, ISBN 978-1-55860-901-3 [5] Margaret Dunham, "Data Mining Introductory and Advanced Topics, Pearson Education Inc., 2003, ISBN0- 13-088892-3 [6] Graham Williams , "Data Mining with Rattle and R: the art of excavating data for knowledge discovery", Springer Verlag, 2011, ISBN 9781441998903. Recommended Readings Students are encouraged to use the UOW Library catalogue and databases to locate additional resources including the e-readings list: https://ereadingsprd.uow.edu.au/ References Any readings/references are recommended only. This is not an exhaustive list. Students are encouraged to use the UOW Library catalogue and databases to locate additional resources. Other Resources Not applicable. Additional Requirements / Materials to be Purchased Not applicable. 8 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 LECTURES AND OTHER LEARNING ACTIVITIES Lecture and Contact Hours UOW may need to change teaching locations and/or teaching delivery at short notice to ensure the safety and well-being of students and staff in response to the COVID-19 pandemic or other public health requirements. Current timetable information is located at https://www.uow.edu.au/student/timetables Minimum Attendance Requirements Satisfactory attendance is deemed by the University, to be attendance at approximately 80% of the allocated contact hours. Lecture Recordings The University of Wollongong supports the recording of lectures as a supplemental study tool, to provide students with equity of access, and as a technology-enriched learning strategy to enhance the student experience. If you make your own recording of a lecture you can only do so with the explicit permission of the lecturer and those people who are also being recorded. You may only use recorded lectures, whether they are your own or recorded by the university, for your own educational purposes. Recordings cannot be altered, shared or published on another platform, without permission of the University, and to do so may contravene the University's Copyright Policy, Privacy Policy, Intellectual Property Policy, IT Acceptable Use Policy and Student Conduct Rules. Unauthorised sharing of recordings may also involve a breach of law under the Copyright Act 1969. Most lectures in this subject will be recorded, when they are scheduled in venues that are equipped with lecture recording technology, and made available via the subject Moodle site with 48 hours. 9 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Lecture Schedule This is a guide to the weekly lecture topics however the delivery date of these topics may on occasion vary due to unforeseen circumstances, such as the availability of a guest lecturer or access to other resources. Week Beginning Lecture Topics Tutorial/Workshop/Laboratory/Demonstration/Field Work Readings/Other subject information Task Due Week 1 28 Feb 2022 (Monday) Introduction to the subject No lab As advised in the lecture slides Week 2 07 Mar 2022 (Monday) Visual Data Mining Lab 1 As advised in the lecture slides Week 3 14 Mar 2022 (Monday) Clustering Lab 2 As advised in the lecture slides Week 4 21 Mar 2022 (Monday) Big Data Lab 3 As advised in the lecture slides Week 5 28 Mar 2022 (Monday) Classification and Prediction Lab 4 As advised in the lecture slides Week 6 04 Apr 2022 (Monday) Association Analysis Lab 5 As advised in the lecture slides Week 7 11 Apr 2022 (Monday) Support Vector Machines Lab 6 As advised in the lecture slides Assignment 1 18 Apr 2022 Mid-Session Recess Week 8 25 Apr 2022 (Monday) Decision Trees Lab 7 As advised in the lecture slides Week 9 02 May 2022 (Monday) Regression Lab 8 As advised in the lecture slides Week 10 09 May 2022 (Monday) Statistical Methods Lab 9 As advised in the lecture slides Project 10 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Week 11 16 May 2022 (Monday) Group Project Presentation Lab 10 As advised in the lecture slides Week 12 23 May 2022 (Monday) Group Project Presentation Lab 11 As advised in the lecture slides Assignment 2 Week 13 30 May 2022 (Monday) Subject revision No lab 06 Jun 2022 Study Recess 13 Jun 2022 Examinations 11 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Section B: Assessment ASSESSMENT TASKS Minimum Performance Requirements To be eligible for a Pass in this subject a student must achieve a mark of at least 40% in the final exam. All assessment tasks must be submitted. Students who do not meet the minimum performance requirements, as specified for each assessment, will receive a TF (Technical Fail) grade for this subject, which will appear on your Academic Transcript. Requirements Related to Student Contributions Labs, and projects that are marked as group work must be conducted as part of a group and by following the specified conditions (i.e. with respect to a minimum or maximum group size). Group assessments are typically assessed as a group product, usually with the same mark allocated to each group member. However, the subject co-ordinator reserves the right to allocate individual marks for students for an assessment task when necessary (for example, in cases where contributions of group members have been unequal). Referencing Referencing style will be specified in the Project task sheet. Please consult the UOW Library website for further information: https://uow.libguides.com/refcite Detailed Assessment Information Assessment 1 Assessment Name Individual Assignment Assessment Type Assignment Weighting 15% Subject Learning O utcomes Assessed SLO1, SLO3, SLO4, SLO5, SLO8, SLO11 Individual or Group Assessment Individual Due Date 15 Apr 2022 (Friday in Session Week 7) Final submission time: 11:59pm Assessment Description and Criteria Correctness, completeness and consistency with specification Length / Duration To be advised in the assignment description Method of Submission Online via Moodle Return of Assessed Work Week 9, Marks and comments 12 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Assessment 2 Assessment Name Individual assignment Assessment Type Assignment Weighting 15% Subject Learning O utcomes Assessed SLO1, SLO3, SLO4, SLO5, SLO8, SLO6, SLO7 Individual or Group Assessment Individual Due Date 27 May 2022 (Friday in Session Week 12) Final submission time: 11:59pm Assessment Description and Criteria Correctness, completeness and consistency with specification Length / Duration To be advised in the assignment description Method of Submission Online via Moodle Return of Assessed Work Study Recess week or Before the final examination Assessment 3 Assessment Name Group project Assessment Type Project Weighting 20% Subject Learning O utcomes Assessed SLO1, SLO10, SLO11, SLO3, SLO4, SLO5, SLO7, SLO8, SLO2 Individual or Group Assessment Group Due Date 15 May 2022 (Sunday in Session Week 10) Final submission time: 11:59pm Assessment Description and Criteria Correctness, completeness and consistency with specification Length / Duration To be advised in the project description Method of Submission Online via Moodle Return of Assessed Work Week 13 or Study Recess week 13 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Assessment 4 Assessment Name Final Exam Assessment Type Exam Weighting 50% Subject Learning O utcomes Assessed SLO10, SLO11, SLO8, SLO9 Individual or Group Assessment Individual Due Date UOW Exam Period Assessment Description and Criteria Length / Duration Method of Submission Return of Assessed Work Academic Integrity The University's policy on acknowledgement practice and plagiarism provides detailed information about how to acknowledge the work of others: https://www.uow.edu.au/about/policy/UOW058648.html The University's Academic Integrity Policy, Faculty Handbooks and subject guides clearly set out the University's expectation that students submit only their own original work for assessment and avoid plagiarising the work of others or cheating. Re-using any of your own work (either in part or in full), which you have submitted previously for assessment, is not permitted without appropriate acknowledgement or without the explicit permission of the Subject Coordinator. Plagiarism can be detected and has led to students being expelled from the University. The use by students of any website that provides access to essays or other assessment items (sometimes marketed as 'resources'), is extremely unwise. Students who provide an assessment item (or provide access to an assessment item) to others, either directly or indirectly (for example by uploading an assessment item to a website) are considered by the University to be intentionally or recklessly helping other students to cheat. Uploading an assessment task, subject outline or other course materials without express permission of the university is considered academic misconduct and students place themselves at risk of being expelled from the University. SUBMISSION AND RETURN OF ASSESSMENTS Procedures for the Submission and Return of Assessed Work Submission and return of assessment are outlined above in the corresponding assessment description. End of session examinations are not returned to students. Students wishing to view their end of session examination will need to contact the subject coordinator to arrange a time for viewing. End of session examination papers are held by the School in a secure location for a period of one year before the papers are disposed of securely. Late Submission of Assessment Tasks and Penalties Assessed work must be handed in by the date and time given. • Penalties apply to all late assessments, except if student academic consideration has been granted. A new submission date may be given if Student Academic Consideration has been granted, however the late penalties below apply if not received by the new date. 14 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 • Late assignment submissions will attract a penalty of 25% of the total possible marks of the assessment item for each day or part thereof that the item is late, to a maximum penalty of receiving zero marks for the assessment item. • Submissions received 4 days after the due date will receive no marks. • If an assessment is submitted late, it will be marked in the normal way, and a penalty will then be applied. • Submissions received 15 days after the due date will receive no feedback. However, lecturers may choose to provide feedback at their discretion. For example: If a student submits an assessment item late, they will be penalised 10% of the total possible marks of the assessment item for each day or part thereof that the item is late, to a maximum penalty of receiving zero marks for the assessment item. A student has a report due at 5pm on May 4. The report is worth 20% of the total mark for the subject, and is marked out of 50. The student submits the report at 11pm on May 6, which is 2 days and 4 hours after the due date. The student will be penalised 30% of the total value of the assessment because it is late by two full days and a part of a third day. 30% of the total value of the assessment item is 15 marks out of 50 for the report, and 6% of their total mark for the subject. So if their original mark on the report had been 30/50, they would receive a mark of 15/50 after the penalty was applied, which means that their report will contribute 6 marks to their total subject mark out of 100. If their original mark on the report had been 11/50, they would receive 0/50 after the penalty was applied, because the maximum penalty possible on any given assessment item is to receive zero marks for that item. Extensions Extensions of time to submit material for assessment can only be requested in advance of the due date for an assessment activity through the Academic Consideration process on SOLS. For more information, please refer to the Student Academic Consideration Policy at: http://www.uow.edu.au/about/policy/UOW058721.html Retention of Submitted Work The University may retain copies of student work in order to facilitate quality assurance of assessment processes, in support of the continuous improvement of assessment design, assessment marking and for the review of the subject. The University retains records of students' academic work in accordance with the University Records Management Policy and the State Records Act 1988 and uses these records in accordance with the University Privacy Policy and the Privacy and Personal Information Protection Act 1998. GENERAL ASSESSMENT INFORMATION Academic Consideration If you believe that your submission of, performance in or attendance at an assessment activity, including an examination, has been affected on compassionate grounds, by illness or by other serious extenuating circumstances beyond your control, you can apply for academic consideration in Student OnLine Services (SOLS). Do not assume that an application for academic consideration will be automatically granted. For more information please refer to the Student Academic Consideration Policy at: https://www.uow.edu.au/about/policy/UOW058721.html In some circumstances you may be offered a deferred exam. For more information about Deferred and Supplementary Exams refer to: https://www.uow.edu.au/student/exams/aboutsupp/index.html Reasonable Adjustment If you have a disability or a medical condition which may disadvantage you in your assessment tasks, you can apply to have the conditions of your exams adjusted to take your disability or condition into account. In particular students cannot assume that a reasonable adjustment document automatically gives a right to a deferred or supplementary exam. Students with a disability may be entitled to reasonable adjustment to assessment. A reasonable adjustment document obtained through Disability Services is a recommendation that needs to be 15 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 discussed and ratified by subject coordinators. Normal subject assessment requirements can only be adjusted with the explicit written permission of the subject coordinator. Deferred Exams Deferred Exams are for students who applied for Academic Consideration to request to sit their exam again, and had their application approved by their subject coordinator. Not applicable. For more information about Supplementary or Deferred Exams refer to - https://www.uow.edu.au/student/exams/supplementary-exams/ Supplementary Assessment Supplementary assessment may be offered to students whose performance in this subject is close to that required to pass the subject, and are otherwise identified as meriting an offer of a supplementary assessment. The Subject Coordinator will determine the precise form of supplementary assessment at the time the offer of a supplementary is made. In some circumstances you may be offered a supplementary exam. For more information about Supplementary Exams refer to: https://www.uow.edu.au/student/exams/aboutsupp/index.html Scaling Marks awarded for any assessment task or part of any assessment task, including an examination may be subject to scaling at the end of the session. Marks will be scaled only when unpredicted circumstances occur and in order to ensure fairness of marking across groups of students. The method of scaling will depend on the type of scaling required by the circumstances. When scaling is deemed necessary, it will follow a detailed consideration by the Unit Assessment Committee and/or the Faculty Assessment Committee of the marks of the group of students concerned. Scaling will not affect any individual student's rank order within their cohort. For more information please refer to Standards for the Finalisation of Student Results Schedule 1: Scaling Guidelines https://www.uow.edu.au/about/policy/UOW039331.html for details. Student Academic Complaints Policy In accordance with the Review and Appeal of Academic Decisions Policy, a student may request an explanation of a mark for an assessment task or a final grade for a subject consistent with the student's right to appropriate and useful feedback on their performance in an assessment task. Refer to the Review and Appeal of Academic Decisions Policy for further information - https://documents.uow.edu.au/about/policy/students/ssLINK/UOW267020 Assessment Quality Cycle The University of Wollongong is committed to the quality assurance and quality enhancement of assessment. The University will meet its legislative and regulatory obligations, to ensure consistent and appropriate assessment through course management and coordination, including assessment quality assurance procedures. An Assessment Quality Cycle is used to describe quality assurance at the points of assessment design, assessment delivery, the declaration of marks and grades, and review and improvement activities. UOW Grade Descriptors The UOW Grade Descriptors are general statements that communicate what our grades represent, in terms of standards of performance, and provide a frame of reference to ensure that assessment practice across the University is appropriate, consistent and fair. Grade Descriptors are expressed in general terms so that they are applicable to a broad range of disciplines. For more information on the UOW grade descriptors see: https://www.uow.edu.au/curriculum-transformation/aqc/uowgradedescriptors/index.html Grade Mark (%) Descriptor High Distinction (HD) 85-100 For performance that provides evidence of an outstanding level of attainment of the relevant subject learning outcomes, demonstrating the attributes of a distinction grade plus (as applicable) one or more of the following: 16 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 • consistent evidence of deep and critical understanding • substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem-solving approaches • critical evaluation of problems, their solutions and their implications • use of quantitative analysis of data as the basis for deep and thoughtful judgments, drawing insightful, carefully qualified conclusions from this work • creativity in application as appropriate to the discipline • eloquent and sophisticated communication of information and ideas in terms of the conventions of the discipline • consistent application of appropriate skills, techniques and methods with outstanding levels of precision and accuracy • all or almost all answers correct, very few or none incorrect Distinction (D) 75-84 For performance that provides evidence of a superior level of attainment of the relevant subject learning outcomes, demonstrating the attributes of a credit grade plus (as applicable) one or more of the following: • evidence of integration and evaluation of critical ideas, principles, concepts and/or theories • distinctive insight and ability in applying relevant skills, techniques, methods and/or concepts • demonstration of frequent originality in defining and analysing issues or problems and providing solutions • fluent and thorough communication of information and ideas in terms of the conventions of the discipline • frequent application of appropriate skills, techniques and methods with superior levels of precision and accuracy • most answers correct, few incorrect Credit (C) 65-74 For performance that provides evidence of a high level of attainment of the relevant subject learning outcomes, demonstrating the attributes of a pass grade plus (as applicable) one or more of the following: • evidence of learning that goes beyond replication of content knowledge or skills • demonstration of solid understanding of fundamental concepts in the field of study • demonstration of the ability to apply these concepts in a variety of contexts • use of convincing arguments with appropriate coherent and logical reasoning • clear communication of information and ideas in terms of the conventions of the discipline • regular application of appropriate skills, techniques and methods with high levels of precision and accuracy • many answers correct, some incorrect Pass (P) 50-64 For performance that provides evidence of a satisfactory level attainment of the relevant subject learning outcomes, demonstrating (as applicable) one or more of the following: • knowledge, understanding and application of fundamental concepts of the field of study • use of routine arguments with acceptable reasoning • adequate communication of information and ideas in terms of the conventions of the discipline • ability to apply appropriate skills, techniques and methods with satisfactory levels of precision and accuracy • a combination of correct and incorrect answers 17 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Fail (F) For performance that does not provide sufficient evidence of attainment of the relevant subject learning outcomes. Technical Fail (TF) When minimum performance level requirements for at least one assessment item in the subject as a whole has not been met despite the student achieving at least a satisfactory level of attainment of the subject learning outcomes. Satisfactory (S) Awarded for performance that demonstrates a satisfactory level of attainment of the relevant subject learning outcomes. Unsatisfactory (U) Awarded for performance that demonstrates an unsatisfactory level of attainment of the relevant subject learning outcomes. Section C: General Advice for Students STUDENT SUPPORT There are a range of services available to students that are provided free of charge. A good place to get to know services that may be of use to you is the Get Started @ UOW web page, accessed here https://getstarted.uow.edu.au/index.html or search for "Get Started @ UOW". Services available include: Service Link to information about the service Aboriginal & Torres Strait Islander https://www.uow.edu.au/wic/abo ut1/index.html?ssSourceSiteId=getstarted Careers advice https://www.uow.edu.au/careers/index.html?ssSourceSiteId=getstarted Counselling https://www.uow.edu.au/student/counselling/index.html?ssSo urceSiteId=getstarted Disability https://www.uow.edu.au/student/disability/index.html?ssSourceSiteId=getstarted Information Tech. https://www.uow.edu.au/its/index.html?ssSourceSiteId=getstarted Study Skills https://www.uow.edu.au/student/learningcoop/index.html?ssSourceSiteId=getstarted Student Support Advisors https://www.uow.edu.au/student/services/SSA/in dex.html?ssSourceSiteId=getstarted Student Advocacy Service The Student Advocacy Service (SAS) is free, confidential and independent service for all UOW students. The SAS provides advocacy and referral for a range of academic, procedural and administrative issues. For more information visit: https://www.uow.edu.au/student/support-services/advocacy/ Faculty of Engineering & Information Sciences - Student Central Student Central is available for phone, email and face-to-face enquiries; Location: Building 17 Operating hours: 9am - 5pm, Monday - Friday Phone: +61 2 4221 3927 Email:
[email protected] Student Support Adviser (SSA) If you have a temporary or ongoing issue or a problem that is affecting your study, including issues that are related to belonging to an equity group, then the Student Support Advisers may be able to help. There are Student Support Advisers available to assist students who are studying at all UOW Campuses and in all UOW Faculties. Contact details can be found on the UOW website: https://www.uow.edu.au/student/support-services/advisers/ Library Services To save yourself time and enhance your studies: connect with information specialists and resources anytime, anywhere via Ask Us: https://www.library.uow.edu.au/ask/index.html or Google "UOW library ask us". 18 | INFO911 SUBJECT OUTLINE AUTUMN SESSION 2022 Online - Ask a Librarian Ask questions and receive a response within 1 business day (Wollongong time) In person - Book a Librarian 30-minute appointment with a Librarian Research Consultation Service 1 hour appointment with an information specialist. Available to UOW academics, HDRs, Postgraduate Coursework, Honours and Masters students. By phone +61 2 4221 3548 POLICIES AND GUIDELINES The University of Wollongong has a number of policies and guidelines that govern student and course management that students need to be aware of, a summary of these is available at https://www.uow.edu.au/engineering-information-sciences/current-students/policies-guidelines/
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