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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.
Biological databases provide a critical means for organising and efficiently accessing biological data that can be used. Database mining enables researchers to derive new information from the content of these databases. Data mining is particularly important in the data-driven research field of Systems Biology. This unit introduces students to commonly-used biological databases in the fields of genomics, proteomics, and metabolomics. Basic programming skills will also be introduced, enabling students to more efficiently access data from online biological databases and transform it into meaningful information.
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 2 | 13 x 3 hour lecture | 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
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 |
|---|---|---|
| Test | Theory quiz | 20% |
| Case Study | Database case study | 40% |
| Project | Research project | 40% |
| Type | Description | Value |
|---|---|---|
| Test | Theory quiz | 20% |
| Case Study | Database case study | 40% |
| Project | Research project | 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.
SCI6150|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.
Biological databases provide a critical means for organising and efficiently accessing biological data that can be used. Database mining enables researchers to derive new information from the content of these databases. Data mining is particularly important in the data-driven research field of Systems Biology. This unit introduces students to commonly-used biological databases in the fields of genomics, proteomics, and metabolomics. Basic programming skills will also be introduced, enabling students to more efficiently access data from online biological databases and transform it into meaningful information.
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 2 | 13 x 3 hour lecture | 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
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 |
|---|---|---|
| Test | Theory quiz | 20% |
| Case Study | Database case study | 40% |
| Project | Research project | 40% |
| Type | Description | Value |
|---|---|---|
| Test | Theory quiz | 20% |
| Case Study | Database case study | 40% |
| Project | Research project | 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.
SCI6150|1|2