cse5bio artificial intelligence in bioinformatics
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.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorRajalakshmi Rajasekaran
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
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Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRajalakshmi 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 examination Hurdle 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 words A 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 words A 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 |