Data Capture and Preparations G (11520.1)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| On-Campus
|| UC - Canberra, Bruce
|0.125||3||Faculty Of Science And Technology|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Technology||Graduate Level|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesAfter successful completion of this unit, students will be able to:
1. Work with sensors for capturing data;
2. Choose and apply appropriate techniques for capturing data from existing sources;
3. Import data into R;
4. Convert data from one format to another one in R;
5. Employ suitable techniques for tidying data; and
6. Develop a sound understanding of text mining methods in R.
Graduate attributes1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - take pride in their professional and personal integrity
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - understand issues in their profession from the perspective of other cultures
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Assumed knowledgeWorking knowledge of discrete mathematics, algebra and numerical analysis.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2022||UC - Canberra, Bruce||Semester 1||07 February 2022||On-Campus||Dr Raul Fernandez Rojas|
|2023||UC - Canberra, Bruce||Semester 1||06 February 2023||On-Campus||Dr Raul Fernandez Rojas|
There is no required textbook for this unit. However, the following are recommended readings that a re a companion for the concepts taught in this unit.
"R in Action – Data analysis and Graphics with R" by Robert Kabacoff
"R for Data Science" by Garrett Grolemund and Hadley Wickham
"Practical Data Science with R" Second Edition by Nina Zumel and John Mount
A limited number of copies of these books are also available from the UC Library.
Submission of assessment items
Extensions & Late submissions
Assignments are meant to be individual work, although talking a problem over with another student or tutor is considered one reasonable way of learning. However, the actual submitted assignment must be the student's own work. Students are expected to familiarise themselves with the University's Student Charter https://www.canberra.edu.au/Policies/PolicyProcedure/Index/200. Experience has shown that students who do not do their own work are unlikely to pass the exam (and therefore the unit).
Assignments will be submitted electronically through the Unit Website interface on UC LearnOnline. For the two assignments, students need to submit their files as a ZIP file via the unit's UC LearnOnline site.
Assignment submissions will be assessed for addressing the specific requirements of each assignment, as stated in the assignment descriptions. Assignment submissions will receive a numerical mark, which together in their entirety with the other assessment items (tests, exam) define a student's final grade as outlined in this section.
Extensions: Extensions must be applied for before the due date.
Students can apply for an extension to the due date for submission of an assessment item on the grounds of illness or other unavoidable and verifiable personal circumstances as described under "Acceptable Grounds for Approval" at http://www.canberra.edu.au/student-services/examinations/alternative-exams. Documentary evidence will be expected in order that an extension be granted. Applications need to use the above mentioned Assignment Extension form.
It should be noted that such documentation will be considered but will not guarantee that the application will be successful. The Unit Convenor will decide whether to grant an extension and the length of the extension.
Responsibility for understanding
If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should contact the unit convenor or tutor. Further, it is the responsibility of students to ensure that they are correctly enrolled in the unit and that the tutor and Student Administration have their correct contact details.
Special assessment requirements
In DCP G, students are required to satisfactorily complete two assignments (i.e. minimum 25% in each of the two assignments) and to perform satisfactorily in a final assessment. The weighting of each assessment item is listed in the assessment item description.
To obtain a particular grade in this unit, it is necessary that there are no outstanding submissions at the end of week 14. The unit convener reserves the right to question students orally on any of their submitted work.
All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items.
To be awarded a particular grade in DCP G, students must meet the following requirements as set out below. All grades are conditional upon the following minimum requirements:
- Minimum 25% of available marks in each of the two assignments (Data Capture 1 and Data Capture 2), and
- Minimum 50% of available marks in the final assessment .
Assignments + Quiz + Final Assessment
Minimum 50% of combined weighted marks of all assessment items
Minimum 65% of combined weighted marks of all assessment items
Minimum 75% of combined weighted marks of all assessment items
Minimum 85% of combined weighted marks of all assessment items
Students who miss the final assessment due to illness or other acceptable grounds (see link below) may be able to sit for a deferred examination. A doctor's certificate stating why the student was not able to sit for the exam or other required evidence should be given to Student Central (Bldg. 1) as soon as possible - generally within 3 days of the examination. See Assessment Policy https://www.canberra.edu.au/Policies/PolicyProcedure/Index/331 and Assessment Procedures https://www.canberra.edu.au/Policies/PolicyProcedure/Index/369 for more details. Students will only be allowed to sit for a deferred examination if there are no outstanding submissions or resubmissions for the assignments required to pass the subject as specified above.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Expected Average Student Workload: * denotes an assessable item
|Lectures||12x 2h||= 24h|
|Tutorials / Computer laboratory classes||12x 2h||= 24h|
|Preparation (lectures, computer labs, reading, unsupervised activities)||12x 3h||= 36h|
|* Assignment 1 – Data capture using sensors||= 23h|
|* Assignment 2 – Web scraping||= 23h|
|* Online Tests||= 5h|
|* Final Assessment (incl. preparation)||= 15h|
Total 150 hours
Your participation in both class (lecture, tutorial/computer laboratory classes) and online activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items. Experience has shown that students who do not attend the classes and/or do not engage with the online content will have difficulty in passing the subject.
Required IT skills
Fundamental R programming concepts, usage of Windows computers.
2x USB thumb drives and consumables
Work placement, internships or practicums
Not applicable to this unit
In all cases of absence, sickness or personal problems, it is the student's responsibility to ensure that the unit convenor is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).
It is important that students refer to unit website (through UCLearn – UC's online learning environment) on a regular basis for any variations in the schedule and deadlines for the assessment tasks, which will be announced on the Unit Website. It is also the student's responsibility to ensure that they regularly check their UC email account, as electronic messages (whether via the unit's UCLearn site or directly) will be sent to this account.
The online discussion forum on the unit's UCLearn site is as very useful place for posting questions and students are strongly encouraged to make use of it.