Visit ECU Homepage
This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.
Bioinformatics provides an important bridge between cutting edge science and the interpretation of clinical datasets. This unit focuses on bioinformatic analysis skills and utilisation of clinical databases. Students will apply their skills to real-world clinical datasets. These clinical datasets may be sourced from online data repositories or from data access provided by research partners. Students will gain awareness of advanced bioinformatic analyses of clinical data in a research setting and the requirements for reproducible reporting using standardised methods.
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECUs LMS
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 3 hour seminar | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences through ECUs LMS as well as additional ECU l
Extensive data analysis and interpretation activities are undertaken in this unit. The unit content has been structured into three main areas: advanced theory; advanced applications; and presentations of case studies by bioinformatics professionals. Students will apply their accrued knowledge of bioinformatics in a mini-project where they will report on their analyses of a clinical dataset. Students will have the opportunity to leverage datasets from either online repositories or from research partners. Reproducible reporting and oral presentation skills will be developed in this unit.
GS1 GRADING SCHEMA 1 Used for standard coursework units
Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.
| Type | Description | Value |
|---|---|---|
| Assignment | Clinical Dataset Analysis Plan | 20% |
| Assignment | Clinical Dataset Analysis Report | 40% |
| Presentation | Analysis Report Seminar | 40% |
| Type | Description | Value |
|---|---|---|
| Assignment | Clinical Dataset Analysis Plan | 20% |
| Assignment | Clinical Dataset Analysis Report | 40% |
| Presentation | Analysis Report Seminar | 40% |
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:
Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.
The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.
SCH6245|1|1
This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.
Bioinformatics provides an important bridge between cutting edge science and the interpretation of clinical datasets. This unit focuses on bioinformatic analysis skills and utilisation of clinical databases. Students will apply their skills to real-world clinical datasets. These clinical datasets may be sourced from online data repositories or from data access provided by research partners. Students will gain awareness of advanced bioinformatic analyses of clinical data in a research setting and the requirements for reproducible reporting using standardised methods.
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECUs LMS
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 1 | 13 x 3 hour seminar | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences through ECUs LMS as well as additional ECU l
Extensive data analysis and interpretation activities are undertaken in this unit. The unit content has been structured into three main areas: advanced theory; advanced applications; and presentations of case studies by bioinformatics professionals. Students will apply their accrued knowledge of bioinformatics in a mini-project where they will report on their analyses of a clinical dataset. Students will have the opportunity to leverage datasets from either online repositories or from research partners. Reproducible reporting and oral presentation skills will be developed in this unit.
GS1 GRADING SCHEMA 1 Used for standard coursework units
Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.
| Type | Description | Value |
|---|---|---|
| Assignment | Clinical Dataset Analysis Plan | 20% |
| Assignment | Clinical Dataset Analysis Report | 40% |
| Presentation | Analysis Report Seminar | 40% |
| Type | Description | Value |
|---|---|---|
| Assignment | Clinical Dataset Analysis Plan | 20% |
| Assignment | Clinical Dataset Analysis Report | 40% |
| Presentation | Analysis Report Seminar | 40% |
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:
Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.
The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.
SCH6245|1|2