Data Analysis Skills for Science (11723.1)
|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 - Science||Level 1 - Undergraduate Introductory Unit|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn successful completion of this unit, students will be able to:
1. Apply scientific literacy and numeracy in the search for, collation of, and analysis of evidence;
2. Comprehend, apply and interpret the results of foundational data analysis and statistical methods;
3. Interpret and express analytical findings effectively in written format; and
4. Recognise situations where analytical methods and tools may be applied to chemistry, biology, physics and health.
Graduate attributes1. UC graduates are professional - communicate effectively
1. 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
Equivalent units1809 Data Analysis in Science
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2023||UC - Canberra, Bruce||Semester 1||06 February 2023||On-Campus||Dr Adrian Dusting|
|2023||UC - Canberra, Bruce||Semester 2||31 July 2023||On-Campus||Dr Adrian Dusting|
|2024||UC - Canberra, Bruce||Semester 1||05 February 2024||On-Campus||Dr Adrian Dusting|
|2024||UC - Canberra, Bruce||Semester 2||29 July 2024||On-Campus||Dr Adrian Dusting|
Recommended (not required): Field, A.P. Miles, J. and Field, Z. (2012) Discovering statistics using R, 1st ed. Sage, ISBN-13: 978-1446200469.
Note that e-text versions of this book are available for purchase, which may present a considerable financial saving. Some copies are available through the UC library. For students intending to take further studies in data analysis or data science (using R), it is recommended that you purchase the above textbook.
Submission of assessment items
Special assessment requirements
The final mark for this unit will be calculated by an accumulation of marks from each assessment item. To achieve a passing grade or higher in this subject, students must:
- attempt all assessment items and
- achieve a final aggregate mark of 50% or higher.
The unit convener reserves the right to question students orally on any of their submitted work.
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.
The contact hours for each student in this unit consist of 12 hours of lectures (1 hr x 12 weeks) and 24 hours of computer labs (2 hr x 12 weeks). There are an additional up to 12 hours of online content videos. The remaining 102 hours of workload should be distributed across self-directed study and the various assessment tasks.
It is highly recommended that you attend and participate in all classes. Your participation in both class 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.
It is expected that you will attend a two-hour computer lab each week and that you either attend the lectures or participate in the live stream. Computer labs will not be recorded. Although lectures are recorded, we cannot guarantee that the recording will accurately convey all the information presented in the live lecture. Problems with the recordings will not be accepted as an excuse for any assessment-related purpose.
Required IT skills
Thie unit involves online meetings for some computer lab sessions using the Virtual Room in your Canvas teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone - the headset that typically comes with a smart phone is usually sufficient. For more information and to test your computer, go to the Virtual Room in your UCLearn (Canvas) site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.
All students are assumed to be able to:
- Read and download documents on the unit website - mostly in Adobe PDF format.
- For the End of Semester Assessment students need to know how to open and run R, R Studio and Excel. Students also need to unzip files to access datasets. These skills are covered in lectures and computer labs.
- Communicate using email
None. Required software is either open source (R, R Studio) or made available by UC for free to UC Students (e.g. Excel, Canvas, Blackboard Collaborate Ultra). Campus computer labs can be used if a student cannot otherwise access computer hardware.
Work placement, internships or practicums
Provision of information to the group
Notifications through the Canvas Announcements Forum or the Canvas Discussion Forum are deemed to be made to the whole class. It is the responsibility of the student to ensure that they check for announcements on the Unit's Canvas website (forum messages are also emailed to student email addresses only). Students should ensure they check their student email regularly. The Canvas discussion forum will be checked by staff regularly.
Use of student email account
The University email policy states that "students wishing to contact the University via email regarding administrative or academic matters need to send the email from the University account for identity verification purposes". Therefore all unit enquiries should be emailed using a student university email account. Students should contact firstname.lastname@example.org if they have any issues accessing their university email account.
Unforeseen circumstances beyond the unit convener's control could result in changes to the mode of delivery of lectures, tutorials and practicals (where applicable) and assessments. Students will be advised if this occurs and appropriate alternatives will be arranged.