SUBJECT OUTLINE
31243 Analytics Capstone Project B
Course area Delivery
Subject classification
Credit points Requisite(s) Result type
UTS: Information Technology Autumn 2019; City
Information Technology: Software
6cp
41004 Analytics Capstone Project
Grade and marks
Subject coordinator
Prof. Paul Kennedy
Room: CB11.7.111
Email: [email protected]
Questions regarding assessment or content within the subject are welcome in lectures or tutorials or alternatively post them to the discussion board in UTS Online. This helps ensure that all students get the benefit of the answers given.
The Subject Coordinator may be contacted by email if you have matters of a personal nature to discuss, e.g., illness, study problems, and for issues to do with extensions, group problems or other matters of importance.
All email sent to subject coordinators, tutors or lecturers must have a clear subject line that states the subject number followed by the subject of the email [e.g. Subject 32702, Request for Extension], and must be sent from your UTS email address.
Consultation hours: Check the UTSOnline Contact section for details on consultation hours. Requests for appointments outside the given consultation hours may be arranged where circumstances require, and to do so please contact the subject coordinator by email.
Teaching staff
Mentoring details will be determined between course coordinator and student.
Subject description
Data mining and knowledge discovery is the kernel of contemporary computer analytics and intelligence. The process consists of several iterative steps, including data pre-processing and transformation, the actual data mining and pattern discovery steps, and putting discovered information and knowledge into action. This subject is focused on the practical implementation of this process to large data sets from different areas of human endeavour. It provides students with exposure to real-world analytics scenarios, and with expertise and experience in the application of the data mining techniques and in professional communication of analytics results. Students choose a real-world project of interest and, with the help of a staff mentor, research, plan and produce an outcome. They communicate the results of the project in a detailed report.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
1. demonstrate competency in conceptualising, designing, planning and implementing research studies in data analytics;
2. select and apply an appropriate research method for solving a real-world analytics problem; and 3. explain and justify an application of problem solving, reported in the required format and style.
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 1 of 6
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
Identify and apply relevant problem-solving methodologies (B.1)
Synthesise alternative/innovative solutions, concepts and procedures (B.3)
Demonstrate research skills (B.6)
Communicate effectively in ways appropriate to the discipline, audience and purpose (E.1)
Teaching and learning strategies
The subject involves independent and self-motivated work by the student, assisted by the student’s individual project supervisor and the subject co-ordinator. Student and supervisor will develop a learning contract by week 3 where they agree on the tasks and scope of the project and form a plan for doing the project. The learning contract shall be a statement containing: the title of the proposed project; the aim of the project; a list of tasks to be carried out by the student to fulfil the project aims; and a set of milestones and delivery dates.
Projects shall be of real-world significance and it is intended that the project report would be of sufficient quality to demonstrate data analytics competence to a prospective employer. Students will need to do some background research in the problem area and methods to be used under the guidance of the mentor to be able to solve the problem in the agreed project. The depth of research will be gauged by the mentor so as to match the level of work required in a 6 credit point undergraduate subject such as this.
Students will meet regularly with their mentor (weekly or fortnightly) where they will report and receive feedback on their progress, determine how they are tracking against the project plan and whether that plan needs to be modified.
Students may collaborate with other students in a meaningful way as need arises but this is not necessary. Mentors are guided by the student needs in the case and will suggest online readings and other research material to aid their project development.
There are no formal classes in this subject.
Content (topics)
The student will negotiate a suitable topic with their project supervisor who will guide the student’s learning and studies.
Assessment
Please refer to the Policy and the Procedures on Assessment of Coursework Subjects.
Assessment task 1: Research Project
Objective(s): This assessment task addresses the following subject learning objectives (SLOs):
1, 2 and 3
This assessment task contributes to the development of the following course intended learning outcomes (CILOs):
B.1, B.3, B.6 and E.1 Type: Project
Groupwork: Individual Weight: 100%
Task: A research report outlining the motivation behind the topic choice, a brief literature review and a
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 2 of 6
Task:
Length:
Due:
Criteria:
A research report outlining the motivation behind the topic choice, a brief literature review and a detailed description of the research undertaken, the methodology used, the results and conclusions, and an outline of future research in the area. The work will be given as a written report.
The work will be graded on its quality as a piece of guided semi-independent research, and on the quality of the written report. The marking scheme is given below.
This is up to the discretion of the supervisor, but reports would normally be between 40 and 100 pages long.
6.00pm Friday 7 June 2019
Please submit to your project supervisor who will mark it and return the mark to the subject coordinator.
The mark is split into presentation of the work in the report and the work itself. The components are; Report presentation 30%, Report Content 70%
Presentation – English (10%)
This is purely the syntactic correctness and ease of understanding. Is the review written in clear and correct English? It includes such factors as Good English: What percentage of sentences is correct syntactically, and easy to read? Layout: table of contents, abstract, sections, labels on tables and figures, appendices, etc.
Presentation – Context (10%) This evaluates the introduction and literature review presented in the report. The report is a stand-alone document so it should start by setting the scene with a review of the relevant literature and existing knowledge.
Presentation – Description of model or experiment (10%) This measures how clearly the model or experiment is presented. It includes things such as how easy the report is to understand, logical development and presentation, and description of the results.
Report Content (70%) – The criteria are how closely the work matches the tasks and scope developed in the learning contract and includes such things as the amount of work, elegance, correctness, testing or evaluation, and generality. For a computer system, this may cover such topics as the elegance or clarity of the code, the reliability and power of the system, and the ability of the model to generalise to situations other than the examples used to build the system. For an empirical study, this may cover such things as the design and execution of the study (method), the design of the experimental probes or surveys (material), the correctness of the analysis (by statistical methods) and the ability to generalise results outside the sample.
Criteria linkages:
Criteria Weight (%)
SLOs CILOs
1, 2 B.1, B.3, B.6
3 E.1 3 E.1
3 E.1
Quality of the research itself Quality of presentation – context
Quality of presentation – model/experiment description
Quality of presentation – english
SLOs: subject learning objectives
CILOs: course intended learning outcomes
70 10 10
10
Assessment feedback
Marks with feedback at the end of semester. Also, students will receive ongoing feedback in their regular meetings with mentors.
Minimum requirements
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 3 of 6
Student and supervisor will develop a learning contract by week 3 where they agree on the tasks and scope of the project.
Recommended texts
As relevant to the proposed project.
Other resources
Subject announcements, the topic discussion boards for the subject and other communication tools will in UTS Online. You can enter UTSOnline at http://online.uts.edu.au
Graduate attribute development
For a full list of the faculty’s graduate attributes, refer to the FEIT Graduate Attributes webpage. Assessment: faculty procedures and advice
Extensions
When, due to extenuating circumstances, you are unable to submit or present an assessment task on time, please contact your subject coordinator before the assessment task is due to discuss an extension. Extensions may be granted up to a maximum of 5 days (120 hours). In all cases you should have extensions confirmed in writing.
Special Consideration
If you believe your performance in an assessment item or exam has been adversely affected by circumstances beyond your control, such as a serious illness, loss or bereavement, hardship, trauma, or exceptional employment demands, you may be eligible to apply for Special Consideration.
Late Penalty
Work submitted late without an approved extension is subject to a late penalty of 10 per cent of the total available marks deducted per calendar day that the assessment is overdue (e.g. if an assignment is out of 40 marks, and is submitted (up to) 24 hours after the deadline without an extension, the student will have four marks deducted from their awarded mark). Work submitted after five calendar days is not accepted and a mark of zero is awarded.
For some assessment tasks a late penalty may not be appropriate – these are clearly indicated in the subject outline. Such assessments receive a mark of zero if not completed by/on the specified date. Examples include:
a. weekly online tests or laboratory work worth a small proportion of the subject mark, or
b. online quizzes where answers are released to students on completion, or
c. professionalassessmenttasks,wheretheintentionistocreateanauthenticassessmentthathasanabsolute
submission date, or
d. take-home papers that are assessed during a defined time period, or
e. pass/fail assessment tasks.
Querying results
If students wish to query their result in an individual assessment task or the final examination, the process to follow can be found at Querying a mark or grade. The deadline is five working days from the date of release of the result.
If students wish to query their final overall result in a subject, they may request a review of final subject assessment result. The deadline is five working days from the date of release of the result.
Academic liaison officer
Academic liaison officers (ALOs) are academic staff in each faculty who assist students experiencing difficulties in their studies due to: disability and/or an ongoing health condition; carer responsibilities (e.g. being a primary carer for small children or a family member with a disability); and pregnancy.
ALOs are responsible for approving adjustments to assessment arrangements for students in these categories. Students who require adjustments due to disability and/or an ongoing health condition are requested to discuss their situation with an accessibility consultant at the Accessibility Service before speaking to the relevant ALO.
The ALO for undergraduate students is:
Chris Wong
telephone +61 2 9514 4501
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 4 of 6
telephone +61 2 9514 4501
The ALO for postgraduate students is:
Dr Nham Tran
telephone +61 2 9514 4468
Statement about assessment procedures and advice
This subject outline must be read in conjunction with the policy and procedures for the assessment for coursework subjects, available at: www.gsu.uts.edu.au/policies/assessment-coursework.html
Statement on copyright
Teaching materials and resources provided to you at UTS are protected by copyright. You are not permitted to re-use these for commercial purposes (including in kind benefit or gain) without permission of the copyright owner. Improper or illegal use of teaching materials may lead to prosecution for copyright infringement.
Statement on plagiarism Plagiarism and academic integrity
At UTS, plagiarism is defined in Rule 16.2.1(4) as: ‘taking and using someone else’s ideas or manner of expressing them and passing them off as … [their] own by failing to give appropriate acknowledgement of the source to seek to gain an advantage by unfair means’.
The definition infers that if a source is appropriately referenced, the student’s work will meet the required academic standard. Plagiarism is a literary or an intellectual theft and is unacceptable both academically and professionally. It can take a number of forms including but not limited to:
copying any section of text, no matter how brief, from a book, journal, article or other written source without duly acknowledging the source
copying any map, diagram, table or figure without duly acknowledging the source
paraphrasing or otherwise using the ideas of another author without duly acknowledging the source
re-using sections of verbatim text without using quote marks to indicate the text was copied from the source (even if a reference is given).
Other breaches of academic integrity that constitute cheating include but are not limited to:
submitting work that is not a student’s own, copying from another student, recycling another student’s work, recycling previously submitted work, and working with another student in the same cohort in a manner that exceeds the boundaries of legitimate cooperation
purchasing an assignment from a website and submitting it as original work
requesting or paying someone else to write original work, such as an assignment, essay or computer program, and submitting it as original work.
Students who condone plagiarism and other breaches of academic integrity by allowing their work to be copied are also subject to student misconduct Rules.
Where proven, plagiarism and other breaches of misconduct are penalised in accordance with UTS Student Rules Section 16 – Student misconduct and appeals.
Avoiding plagiarism is one of the main reasons why the Faculty of Engineering and IT is insistent on the thorough and appropriate referencing of all written work. Students may seek assistance regarding appropriate referencing through UTS: HELPS.
Work submitted electronically may be subject to similarity detection software. Student work must be submitted in a format able to be assessed by the software (e.g. doc, pdf (text files), rtf, html).
Further information about avoiding plagiarism at UTS is available.
Retention of student work
The University reserves the right to retain the original or one copy of any work executed and/or submitted by a student as part of the course including, but not limited to, drawings, models, designs, plans and specifications, essays, programs, reports and theses, for any of the purposes designated in Student Rule 3.9.2. Such retention is not to affect any copyright or other intellectual property right that may exist in the student’s work. Copies of student work may be
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 5 of 6
retained for a period of up to five years for course accreditation purposes. Students are advised to contact their subject coordinator if they do not consent to the University retaining a copy of their work.
Statement on UTS email account
Email from the University to a student will only be sent to the student’s UTS email address. Email sent from a student to the University must be sent from the student’s UTS email address. University staff will not respond to email from any other email accounts for currently enrolled students.
27/02/2019 (Autumn 2019) © University of Technology Sydney Page 6 of 6
Reviews
There are no reviews yet.