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Showing 25 course outlines from 19204 matches

3651

COMPSCI 712

: AI Agency, Ethics and Society
2024 Semester One (1243)
Introduces students to a range of philosophical and normative topics relating to artificial intelligence. Examines key ideas of intelligence, privacy, consent, and discusses other ethical issues that arise in the development and use of AI. The importance of Māori rights and interests in AI and data are explored. Possible approaches to addressing these various concerns are considered.
Subject: Computer Science
No pre-requisites or restrictions
3652

COMPSCI 713

: AI Fundamentals
2025 Semester One (1253)
Examines the core concepts and techniques in AI, including breakthroughs in symbolic AI, machine learning, and neural networks. Real-world applications are presented, with a focus on AI research in Aotearoa/NZ and ethical considerations. The course is designed to be accessible to students with limited programming experience.
Subject: Computer Science
No pre-requisites or restrictions
3653

COMPSCI 713

: AI Fundamentals
2024 Semester One (1243)
Examines the core concepts and techniques in AI, including breakthroughs in symbolic AI, machine learning, and neural networks. Real-world applications are presented, with a focus on AI research in Aotearoa/NZ and ethical considerations. The course is designed to be accessible to students with limited programming experience.
Subject: Computer Science
No pre-requisites or restrictions
3654

COMPSCI 714

: AI Architecture and Design
2025 Semester One (1253)
Equips students with the ability to develop AI applications by introducing well-established AI frameworks and using web-based interactive computing platforms. Students will acquire the skills to implement simple AI techniques using these frameworks and evaluate their performance. Introduces basic practical technologies to investigate artificial intelligence techniques.
Subject: Computer Science
No pre-requisites or restrictions
3655

COMPSCI 714

: AI Architecture and Design
2024 Semester One (1243)
Equips students with the ability to develop AI applications by introducing well-established AI frameworks and using web-based interactive computing platforms. Students will acquire the skills to implement simple AI techniques using these frameworks and evaluate their performance. Introduces basic practical technologies to investigate artificial intelligence techniques.
Subject: Computer Science
No pre-requisites or restrictions
3656

COMPSCI 715

: Advanced Computer Graphics
2025 Semester Two (1255)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. Recommended preparation: COMPSCI 373
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3657

COMPSCI 715

: Advanced Computer Graphics
2024 Semester Two (1245)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. Recommended preparation: COMPSCI 373
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3658

COMPSCI 715

: Advanced Computer Graphics
2023 Semester Two (1235)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. The precise content may vary from year to year. Consult the department for details. Recommended preparation: COMPSCI 373 or equivalent, and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3659

COMPSCI 715

: Advanced Computer Graphics
2022 Semester Two (1225)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. The precise content may vary from year to year. Consult the department for details. Recommended preparation: COMPSCI 373 or equivalent, and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3660

COMPSCI 715

: Advanced Computer Graphics
2021 Semester Two (1215)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. The precise content may vary from year to year. Consult the department for details. Recommended preparation: COMPSCI 373 or equivalent, and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3661

COMPSCI 715

: Advanced Computer Graphics
2020 Semester Two (1205)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. The precise content may vary from year to year. Consult the department for details. Recommended preparation: COMPSCI 373 or equivalent, and 15 points at Stage II in Mathematics.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
3662

COMPSCI 717

: Fundamentals of Algorithmics
2025 Semester Two (1255)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: COMPSCI 120, 130
Subject: Computer Science
Restriction: COMPSCI 220, 320, SOFTENG 250, 284
3663

COMPSCI 717

: Fundamentals of Algorithmics
2025 Semester One (1253)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: COMPSCI 120, 130
Subject: Computer Science
Restriction: COMPSCI 220, 320, SOFTENG 250, 284
3664

COMPSCI 717

: Fundamentals of Algorithmics
2024 Semester One (1243)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: COMPSCI 120, 130
Subject: Computer Science
Restriction: COMPSCI 220, 320, SOFTENG 250, 284
3665

COMPSCI 717

: Fundamentals of Algorithmics
2023 Semester One (1233)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: 15 points from COMPSCI 120 or equivalent and 15 points from COMPSCI 130 or equivalent
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 220, 320, SOFTENG 250
3666

COMPSCI 717

: Fundamentals of Algorithmics
2022 Semester One (1223)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: 15 points from COMPSCI 120 or equivalent and 15 points from COMPSCI 130 or equivalent
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 220, 320, SOFTENG 250
3667

COMPSCI 717

: Fundamentals of Algorithmics
2021 Semester One (1213)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: 15 points from COMPSCI 120 or equivalent and 15 points from COMPSCI 130 or equivalent
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 220, 320, SOFTENG 250
3668

COMPSCI 717

: Fundamentals of Algorithmics
2020 Semester One (1203)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: 15 points from COMPSCI 120 or equivalent and 15 points from COMPSCI 130 or equivalent
Subject: Computer Science
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 220, 320, SOFTENG 250
3669

COMPSCI 718

: Programming for Industry
2025 Late Year Term (1257)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3670

COMPSCI 718

: Programming for Industry
2025 Semester Two (1255)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3671

COMPSCI 718

: Programming for Industry
2025 Semester One (1253)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3672

COMPSCI 718

: Programming for Industry
2024 Late Year Term (1247)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3673

COMPSCI 718

: Programming for Industry
2024 Semester Two (1245)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3674

COMPSCI 718

: Programming for Industry
2024 Semester One (1243)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions
3675

COMPSCI 718

: Programming for Industry
2024 Academic Year Term (1241)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
Subject: Computer Science
No pre-requisites or restrictions