ARTIFICIAL INTELLIGENCE IN BIOINFORMATICS
CSE5BIO
2020
Credit points: 15
Subject outline
This subject introduces artificial intelligence (AI) in bioinformatics and biomedicine. It covers complex biological analysis, the application of AI principles, and the integration of diverse biological content through different AI technologies. On completing this subject you will be able to understand and apply AI techniques such as data modelling, machine learning, deep learning, statistical methods and data mining in Bioinformatics and Biomedicines problems. They will also understand how AI in bioinformatics technologies can be applied to DNA,RNA and protein structure and folding problems, molecular interactions, drug discovery, digital health, genetics and metabolic pathways.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Rajalakshmi Rajasekaran
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 5 - Masters
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Rajalakshmi Rajasekaran
Class requirements
Laboratory ClassWeek: 11 - 22
One 2.00 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
One 3-hour examinationHurdle Requirement: To pass the subject, a pass in the examination is mandatory. | N/A | N/A | Yes | 50 | SILO2, SILO3, SILO4 |
Laboratory classes exercise equivalent to 100 words per laboratory class (total 1000 words) | N/A | N/A | No | 10 | SILO2 |
First assignment equivalent to 1200 wordsA written report on biological and biomedical data and their related issues using AI approaches | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |
Second assignment equivalent to 1200 wordsA written report on various AI approaches in emerging topics such as molecular interactions and biological knowledge discovery. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |