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ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | |
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ULO1 | Maintain in-depth knowledge of advances in machine learning, and use this knowledge to explain machine learning techniques and algorithms to a range of technical and non-technical audiences. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication |
ULO2 | Explore data using a range of machine learning techniques, evaluate resulting models, and extract and communicate insights from data in real-world scenarios. | GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy GLO4: Critical thinking GLO5: Problem solving |
ULO3 | Justify proposed solutions by evaluating and comparing results from alternative approaches to solving real-world problems and exploring data using machine learning techniques. | GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking GLO5: Problem solving |
ULO4 | Create Python scripts to automate the evaluation and analysis of data using a range of machine learning libraries, techniques, and algorithms. | GLO1: Discipline-specific knowledge and capabilities |
| |
Students need to complete the units pass tasks to pass the unit. The portfolio requires students to work through a series of Tasks to produce a portfolio of evidence showing achievement of the unit learning outcomes. To achieve a passing grade, students must demonstrate adequate performance in the completion of the unit’s pass tasks, which will show the required minimum standard. Credit, Distinction, and High Distinction tasks are used to determine higher grades, corresponding to achievement of the unit learning outcomes to a higher level. | The pass tasks in this unit provides students the opportunity to develop and demonstrate the achievement of Unit Learning Outcomes at the minimum expected standards. These tasks are included as hurdle requirements so that students are able to provide evidence of achievement of these ULOs through their portfolio. The portfolio artefact that they submit is used to measure their performance against the minimum standards as well as their ability to justify the outcomes that they have achieved through self-assessment and reflection. |
Students are required to discuss their understanding of concepts, and demonstrate achievement of unit learning outcomes, with the teaching team. To receive a passing grade, students must clearly communicate appropriate understanding of the associated concepts and achievement of the associated unit learning outcomes in these task discussions. As part of this process, the teaching team may require students to answer follow up questions for clarifications, redo the task, and/or repeat the task discussion to satisfy this hurdle requirement. | Task discussions help students to demonstrate achievement of their unit learning outcomes, while also helping to authenticate student learning and improve academic integrity in the unit. The student-staff interaction during discussions will allow the teaching team to make judgements about student learning and progress in select tasks that are representative of high-order thinking and learning. Feedback resulting from this will help aid student learning and provide them with additional opportunities to demonstrate achievement of unit learning outcomes. |
All task discussions need to occur within the teaching period. Task discussions must be conducted face-to-face (for campus students) or via online discussions through MS Teams/Zoom Meeting (for online students only) or another mechanism as determined by the Unit Chair. Please ensure that you are enrolled in the correct mode of study. It is strongly recommended that tasks are submitted well ahead of the respective deadlines, because the completion of tasks involves submitting work for assessment, responding to feedback, and discussion of the tasks with the teaching staff. In many cases, your solutions will need to be corrected and resubmitted, potentially more than once, as part of this process. Students are required to respond to feedback via OnTrack comments, in a timely manner, and answer questions posed by the teaching team. For some tasks the teaching team may require an audio or video recording to be used to demonstrate understanding of the task and its associated concepts. In these cases, video recording must clearly show the student talking through the concepts and responding to the questions posed by the teaching team. | |
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| This assessment task requires students to work through a series of Tasks to produce a portfolio of evidence showing their achievement of the unit learning outcomes. Teaching staff will provide formative feedback on the tasks submitted within the task’s indicated due dates to help ensure that students are able to demonstrate all learning outcomes in their portfolio. Tasks submitted after the due date may not receive feedback, and it will be the student’s responsibility to ensure this is at an adequate standard in the portfolio at the end of the unit. |
Tasks in this unit will consist of the following kinds of activities: | |
| The portfolio is an individual assessment consisting of a reflective self-assessment, and the work associated with the tasks submitted for feedback during the teaching period. |
(% total mark for unit) | 100% - graded To achieve at least a pass grade, students need to complete all pass tasks. To achieve at least a credit grade, students need to complete all pass and credit tasks. To achieve at least a distinction grade, students need to complete all pass, credit, and distinction tasks. To achieve a high distinction grade, students need to complete all tasks. |
| ULO1 – through problem solving tasks, quiz responses, and explanation of concepts ULO2 – through applying a range of techniques in problem solving tasks and projects ULO3 – through project work and resulting reports ULO4 – through building python programs in project work and related tasks |
| GLO1 – through engaging with and developing skills in machine learning for data analysis GLO2 – through communicating findings to a range of audiences GLO3 – through using digital tools to perform data analysis and report results GLO4 – through evaluating and justifying results obtained GLO5 – through exploring and evaluating data as part of an authentic project |
| You will be required to work on and submit tasks for formative feedback regularly throughout the unit. The teaching team will review your progress and provide you with individual feedback to assist you in completing the tasks and achieving your target grade for the unit. |
| At the end of the unit you will use to combine together the artefacts you have created and a learning summary report into a single portfolio for assessment. This will be due by the end of Week 12, Friday 2 June 2023 by 8pm AEST. |
Trimester begins (classes begin) | Monday 6 March 2023 |
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Census date | Friday 31 March 2023 |
Intra-trimester break (a short break during trimester) | Friday 7 April - Sunday 16 April 2023 |
Trimester ends (classes cease) | Friday 26 May 2023 |
Study period (End of Unit Assessment/Examination preparation period) | Monday 29 May – Friday 2 June 2023 |
End of Unit Assessment Period/Examinations begin | Monday 5 June 2023 |
End of Unit Assessment Period/Examinations end | Friday 16 June 2023 |
Inter-trimester break (the period between trimesters) | Monday 19 June - Friday 7 July 2023 |
Unit results released | Thursday 6 July 2023 (10.30am) |
Week | Commencing | Topic | Assessment activity |
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1 | 6 March 2023 | Introduction to ML | |
2# | 13 March | Data Wrangling Basics | |
3 | 20 March | Unsupervised Learning: Clustering | |
4 | 27 March | Unsupervised Learning: Dimensionality Reduction | |
5 | 3 April | Supervised Learning: Basics and Model Selection | |
6^ | 17 April | Linear Regression and Logistic Regression | |
7* | 24 April | Support Vector Machine | |
8 | 1 May | KNN, Decision Tree | |
9 | 8 May | Ensemble Approach | |
10 | 15 May | Deep Learning Basics | |
11 | 22 May | Revision | |
12 (Study period) | 29 May | | Learning portfolio due |
4 August 2022
At this point in the trimester, you’ll likely have simultaneous assignment deadlines approaching.
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Whether you feel you are in need of specific help to complete an assignment, or you just want to refine your study process and get higher marks, the following resources can help you reach your assignment goals and help you reflect on how to best approach your future assignments.
Remember to also check Deakin’s Assignments webpage for general information about submitting your assignments, which includes details about Deakin’s universal submission time, penalties for late submissions, extensions and special consideration.
Getting your time management right is an important first step in achieving a good mark on an assignment. Every assignment is a little bit different, and will demand different skills and levels of planning, time, focus, and research.
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Finding appropriate information to use in your assignments can take a lot of time. Use the library’s online tutorials to help you quickly find useful information.
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We all have skills we could improve. What’s yours?
Watch a Study Support session (on UniStart if you’re an undergraduate student or Preparing to Succeed if you’re postgraduate), where we cover these topics and more, and bookmark the Deakin guide to referencing.
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Unit: SIT720 Machine Learning
So I submitted my task a day late, however I do not understand this feedback. Does this mean I wont receive feedback before my last portfolio submission or is this task aint getting marked and I am doomed!!! I have weekly pass task, there are total 13 tasks, I probably wont fail a unit just because I submitted 1 task a day late. I mean where is the 5% penalty rule?
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Assessments | Students
The due date of the assignment is the last day on which your assignment must reach your Faculty or be submitted on CloudDeakin (please check the cut-off time for due assignments in your unit guide). Failure to comply with this requirement may affect the assessment process and your final result for the unit. Late submission may incur a penalty ...
This is to prevent students using IT-related issues as an excuse for late submission. However, for all intents and purposes 11:59pm is the de jure deadline, even when it's over due. I've submitted a fair few assignments late between 8:00-11:59pm, and the penalty has always been calculated at 11:59. i.e if you submit 2 days later at 11:00pm ...
The deadline for all assignment submissions via a unit site Dropbox will be 8pm AEST (or AEDT) on the date your assignment is due. Late penalties will be applied for submissions that are received after 11.59 pm (AEST or AEDT) on the due date. These parameters for the universal submission time are outlined in your unit guides for non-exam ...
I've received feedback from a 5-days late assignment but without late penalties. I don't whether that is because the penalties weren't applied or they will be applied in the final result. Stay quiet, say nothing. Sincerely someone who also didn't get a late penalty applied to a one day late submission (past midnight) or at the very least it ...
It is important that late penalties are applied consistently. In each assessment brief, students are advised as follows: Penalties for late submission: The following marking penalties will apply if you submit an assessment task after the due date without an approved extension: 5% will be deducted from available marks for each day up to seven days.
Late penalties (86) Typically, a due date is set for the submission of each summative assessment task, and students must submit the assessment task by 8pm AEST/AEDT on the due date. (87) A marking penalty is applied where the assessment task is submitted after 11:59pm on the due date without an approved extension. Penalties are as follows:
When you click on Assignments you can access a list of assignments. The process for submitting an assignment is outlined below: Click the name of the assignment that you want to submit an assignment to. Carefully read the instructions relating to the assignment criteria and submission. If a rubric is used, you will be able to see the criteria.
How to apply. To request an extension, use the Extension Request tool in the 'Assessment' tab on your unit site: This form can't be used for end-of-unit assessments. You must apply before the due date. If you submit your work late without an approved extension, it will be subject to a marking penalty or may not be marked at all.
rules on submission, including extensions, penalties for late submission and final submission date; details of hurdle requirements, if any; the period of time within which feedback will be provided on assessment. (18) Students should receive feedback on assessment tasks in time to benefit them in preparing for the next assessment task. Students ...
The Trimester Planner is an at-a-glance calendar which includes all of Deakin's important dates. Add in your assignment and exam dates so you can see approaching deadlines and periods of increased workload. The Weekly Planner can be used to plan each week's tasks. Pop in your classes, your other commitments like work, exercise, family time ...
Penalties for late submission of assessment tasks (other than examinations) (46) A due date and time will be set for the submission of each summative assessment task. A marking penalty will be applied where the assessment task is submitted after the due date without an approved extension as follows:
Assessment Tasks: Changes to Late Penalties. From Tracy Jennings October 25, 2016. 9264 plays 9264 0 comments 0. Details. Clear Search. To search for an exact match, please use Quotation Marks. Example: "computer". Prof. Bernie Marshall details the new changes to late penalties for assignments. late penalties assessment tasks assignments ...
Any submission made after the due date/time is automatically flagged as late by the system. Penalties (if chosen to be applied) can be subtracted manually per student after assessment has taken place. ... Click on the drop-down arrow to the right of the individual Assignment Folder name and select Submission Log.
Up to 8pm you can claim computer/IT problems for being late (with proof). Between 8:01 and 11:59pm you can still submit without penalty but no reason for IT/computer issues. From 12:00 (midnight) to 11:59pm the following day is 5% off you mark. So if you are going to submit late, better to take the full day and make it better than submitting ...
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Assignment. The Assignments tool can help you streamline all of the administration around assignment submission, eliminating the need to receive and track assignments by mail, fax, or email. Students can submit, check and resubmit their assignments online. Once assignments are submitted, you can do all the following from within the Assignments ...
Remember to also check Deakin's Assignments webpage for general information about submitting your assignments, which includes details about Deakin's universal submission time, penalties for late submissions, extensions and special consideration. Always check with your unit chairs with assignment questions. 1. Have a plan
Reply More replies. pixelboots. •. The general rule is 5% deduction for each day late, but I think it must be at the marker's discretion because I've had a couple a day or two late not have marks deducted. Reply. Affentitten. •. There is absolutely no official directive to waive late penalties. Individual unit chairs may be applying their ...
Assignments were very good; ... Each Unit in your course is a building block towards Deakin's Graduate Learning Outcomes - not all Units develop and assess every Graduate Learning Outcome (GLO). ... Deakin has a universal assessment submission time of 8 pm AEDT/AEST. A late penalty will apply to assessments submitted after 11.59 pm AEDT/AEST.
Remember to also check Deakin's Assignments webpage for general information about submitting your assignments, which includes details about Deakin's universal submission time, penalties for late submissions, extensions and special consideration. 1. Plan ahead.
You could try getting it marked by dropping a message on the OnTrack chat as the late submissions don't show up in the tutor's inbox. If they see it they might mark it but can't say for sure. If you don't submit before the deadline you don't get feedback. You will still be marked for it in the end portfolio but say it's completely ...