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Showing 25 course outlines from 3701 matches
726
COMPSCI 369
: Computational Methods in Interdisciplinary Science2024 Semester One (1243)
Many sciences use computational methods that involve the development and application of computer algorithms and software to answer scientific questions. This course looks at how to tackle these interdisciplinary problems through methods like probabilistic computer modelling, computer-based statistical inference, and computer simulations. The material is largely motivated by the life sciences but also uses examples from other sciences. It focuses on modelling and analysing real-world data with an emphasis on analysing DNA sequence data. No background in physical or life sciences is assumed.
Prerequisite: COMPSCI 220, and COMPSCI 225 or MATHS 254
727
COMPSCI 369
: Computational Methods in Interdisciplinary Science2023 Semester One (1233)
Many sciences use computational methods that involve the development and application of computer algorithms and software to answer scientific questions. This course looks at how to tackle these interdisciplinary problems through methods like probabilistic computer modelling, computer-based statistical inference, and computer simulations. The material is largely motivated by the life sciences but also uses examples from other sciences. It focuses on modelling and analysing real-world data with an emphasis on analysing DNA sequence data. No background in physical or life sciences is assumed.
Prerequisite: COMPSCI 220, and COMPSCI 225 or MATHS 254
728
COMPSCI 369
: Computational Methods in Interdisciplinary Science2022 Semester One (1223)
Many sciences use computational methods that involve the development and application of computer algorithms and software to answer scientific questions. This course looks at how to tackle these interdisciplinary problems through methods like probabilistic computer modelling, computer-based statistical inference, and computer simulations. The material is largely motivated by the life sciences but also uses examples from other sciences. It focuses on modelling and analysing real-world data with an emphasis on analysing DNA sequence data. No background in physical or life sciences is assumed.
Prerequisite: COMPSCI 220 and 15 points from COMPSCI 225, MATHS 254, 255
729
COMPSCI 373
: Computer Graphics and Image Processing2024 Semester One (1243)
Basic geometric processes including transformations; viewing and projection; back projection and ray tracing. Graphics modelling concepts: primitives, surfaces, and scene graphs, lighting and shading, texture mapping, and curve and surface design. Graphics and image processing fundamentals: image definition and representation, perception and colour models, grey level and colour enhancement, neighbourhood operations and filtering. Use of the OpenGL graphics pipeline.
Prerequisite: COMPSCI 210, 230, or COMPSYS 201 and SOFTENG 281
Restriction: COMPSCI 771
Restriction: COMPSCI 771
730
COMPSCI 373
: Computer Graphics and Image Processing2023 Semester One (1233)
Basic geometric processes including transformations; viewing and projection; back projection and ray tracing. Graphics modelling concepts: primitives, surfaces, and scene graphs, lighting and shading, texture mapping, and curve and surface design. Graphics and image processing fundamentals: image definition and representation, perception and colour models, grey level and colour enhancement, neighbourhood operations and filtering. Use of the OpenGL graphics pipeline.
Prerequisite: COMPSCI 210, 230
Restriction: COMPSCI 771
Restriction: COMPSCI 771
731
COMPSCI 373
: Computer Graphics and Image Processing2022 Semester One (1223)
Basic geometric processes including transformations; viewing and projection; back projection and ray tracing. Graphics modelling concepts: primitives, surfaces, and scene graphs, lighting and shading, texture mapping, and curve and surface design. Graphics and image processing fundamentals: image definition and representation, perception and colour models, grey level and colour enhancement, neighbourhood operations and filtering. Use of the OpenGL graphics pipeline.
Prerequisite: COMPSCI 210, 230
Restriction: COMPSCI 771
Restriction: COMPSCI 771
732
COMPSCI 373
: Computer Graphics and Image Processing2021 Semester One (1213)
Basic geometric processes including transformations; viewing and projection; back projection and ray tracing. Graphics modelling concepts: primitives, surfaces, and scene graphs, lighting and shading, texture mapping, and curve and surface design. Graphics and image processing fundamentals: image definition and representation, perception and colour models, grey level and colour enhancement, neighbourhood operations and filtering. Use of the OpenGL graphics pipeline.
Prerequisite: COMPSCI 210, 230
Restriction: COMPSCI 771
Restriction: COMPSCI 771
733
COMPSCI 380
: Project in Computer Science2021 Semester Two (1215)
Each student taking one of these courses will be expected to do an individual practical project under the supervision of a member of staff. Only students with excellent academic records will be allowed to take these courses, and only after a supervisor and topic have been agreed upon by the Head of Department.
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
734
COMPSCI 380
: Project in Computer Science2021 Semester One (1213)
Each student taking one of these courses will be expected to do an individual practical project under the supervision of a member of staff. Only students with excellent academic records will be allowed to take these courses, and only after a supervisor and topic have been agreed upon by the Head of Department.
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
735
COMPSCI 380
: Project in Computer Science2021 Summer School (1210)
Each student taking one of these courses will be expected to do an individual practical project under the supervision of a member of staff. Only students with excellent academic records will be allowed to take these courses, and only after a supervisor and topic have been agreed upon by the Head of Department.
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
736
COMPSCI 380
: Project in Computer Science2020 Semester Two (1205)
Each student taking one of these courses will be expected to do an individual practical project under the supervision of a member of staff. Only students with excellent academic records will be allowed to take these courses, and only after a supervisor and topic have been agreed upon by the Head of Department.
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
Restriction: COMPSCI 690 To complete this course students must enrol in COMPSCI 380 A and B, or COMPSCI 380
737
COMPSCI 389
: Research Methods in Computer Science2024 Semester Two (1245)
An overview of research methods and techniques used across the discipline of Computer Science, including formal proof techniques and empirical methods that involve quantitative and/or qualitative data. Students will be expected to apply the research methods in a collaborative research project.
Prerequisite: GPA of 5.0 or higher and COMPSCI 289 and 30 points at Stage II in Computer Science
738
COMPSCI 389
: Research Methods in Computer Science2023 Semester Two (1235)
An overview of research methods and techniques used across the discipline of Computer Science, including formal proof techniques and empirical methods that involve quantitative and/or qualitative data. Students will be expected to apply the research methods in a collaborative research project.
Prerequisite: GPA of 5.0 or higher and COMPSCI 289 and 30 points at Stage II in Computer Science
739
COMPSCI 389
: Research Methods in Computer Science2022 Semester Two (1225)
An overview of research methods and techniques used across the discipline of Computer Science, including formal proof techniques and empirical methods that involve quantitative and/or qualitative data. Students will be expected to apply the research methods in a collaborative research project.
Prerequisite: GPA of 5.0 or higher and COMPSCI 289 and 30 points at Stage II in Computer Science
740
COMPSCI 389
: Research Methods in Computer Science2021 Semester Two (1215)
An overview of research methods and techniques used across the discipline of Computer Science, including formal proof techniques and empirical methods that involve quantitative and/or qualitative data. Students will be expected to apply the research methods in a collaborative research project.
Prerequisite: Minimum GPA of 5.0 and 45 points at Stage II in Computer Science
741
COMPSCI 399
: Capstone: Computer Science2024 Semester Two (1245)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
742
COMPSCI 399
: Capstone: Computer Science2024 Semester One (1243)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
743
COMPSCI 399
: Capstone: Computer Science2023 Semester Two (1235)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
744
COMPSCI 399
: Capstone: Computer Science2023 Semester One (1233)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
745
COMPSCI 399
: Capstone: Computer Science2022 Semester Two (1225)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
746
COMPSCI 399
: Capstone: Computer Science2022 Semester One (1223)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
747
COMPSCI 399
: Capstone: Computer Science2021 Semester Two (1215)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
748
COMPSCI 399
: Capstone: Computer Science2021 Semester One (1213)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
749
COMPSCI 399
: Capstone: Computer Science2020 Semester Two (1205)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
750
COMPSCI 691A
: Postgraduate Diploma Research Project2021 Semester Two (1215)
Restriction: COMPSCI 780
To complete this course students must enrol in COMPSCI 691 A and B
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