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Showing 25 course outlines from 19204 matches

6426

ENGSCI 753

: Computational Techniques in Mechanics and Bioengineering
2020 Semester One (1203)
Theoretical and applied finite element and boundary element methods for static and time dependent problems of heat flow, bioelectricity, linear elasticity and non-linear mechanics.
Subject: Engineering Science
Prerequisite: ENGGEN 131 or equivalent, and 15 points from ENGSCI 311, 313, 314
6427

ENGSCI 755

: Decision Making in Engineering
2024 Semester Two (1245)
Introduction to techniques for decision making in engineering systems including decision heuristics, simple prioritisation, outranking approaches, analytic hierarchy process, application to group decision making.
Subject: Engineering Science
Prerequisite: ENGSCI 211 or MATHS 250
6428

ENGSCI 755

: Decision Making in Engineering
2023 Semester Two (1235)
Introduction to techniques for decision making in engineering systems including decision heuristics, simple prioritisation, outranking approaches, analytic hierarchy process, application to group decision making.
Subject: Engineering Science
Prerequisite: Departmental approval
6429

ENGSCI 760

: Algorithms for Optimisation
2025 Semester One (1253)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, 199, and 15 points from COMPSCI 120, ENGSCI 111, STATS 125
6430

ENGSCI 760

: Algorithms for Optimisation
2024 Semester One (1243)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, 199, and 15 points from COMPSCI 120, ENGSCI 111, STATS 125
6431

ENGSCI 760

: Algorithms for Optimisation
2023 Semester One (1233)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: COMPSCI 101 or ENGGEN 131
6432

ENGSCI 760

: Algorithms for Optimisation
2022 Semester One (1223)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: COMPSCI 101 or ENGGEN 131
6433

ENGSCI 760

: Algorithms for Optimisation
2021 Semester One (1213)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: COMPSCI 101 or ENGGEN 131
6434

ENGSCI 760

: Algorithms for Optimisation
2020 Semester One (1203)
Meta-heuristics and local search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Ant Colony Optimisation for practical optimisation. Introduction to optimisation under uncertainty, including discrete event simulation, decision analysis, Markov chains and Markov decision processes and dynamic programming.
Subject: Engineering Science
Prerequisite: COMPSCI 101 or ENGGEN 131
6435

ENGSCI 761

: Integer and Multi-objective Optimisation
2025 Semester Two (1255)
Computational methods for solving optimisation problems. Algorithms for integer programming including branching, bounding, cutting and pricing strategies. Algorithms for linear and integer programmes with multiple objective functions.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6436

ENGSCI 761

: Integer and Multi-objective Optimisation
2023 Semester One (1233)
Computational methods for solving optimisation problems. Algorithms for integer programming including branching, bounding, cutting and pricing strategies. Algorithms for linear and integer programmes with multiple objective functions.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6437

ENGSCI 761

: Integer and Multi-objective Optimisation
2022 Semester One (1223)
Computational methods for solving optimisation problems. Algorithms for integer programming including branching, bounding, cutting and pricing strategies. Algorithms for linear and integer programmes with multiple objective functions.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6438

ENGSCI 763

: Advanced Simulation and Stochastic Optimisation
2025 Semester Two (1255)
Advanced simulation topics with an emphasis on optimisation under uncertainty. Uniform and non-uniform random variate generation, input distribution selection, output analysis, variance reduction. Simulation-based optimisation and stochastic programming. Two-stage and multi-stage programs with recourse. Modelling risk. Decomposition algorithms. Scenario construction and solution validation.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6439

ENGSCI 763

: Advanced Simulation and Stochastic Optimisation
2021 Semester Two (1215)
Advanced simulation topics with an emphasis on optimisation under uncertainty. Uniform and non-uniform random variate generation, input distribution selection, output analysis, variance reduction. Simulation-based optimisation and stochastic programming. Two-stage and multi-stage programs with recourse. Modelling risk. Decomposition algorithms. Scenario construction and solution validation.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6440

ENGSCI 765

: Advanced Optimisation in Operations Research
2025 Semester One (1253)
Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Integer programming. The implementation and solution of optimisation models for practical applications.
Subject: Engineering Science
Prerequisite: 15 points from ENGGEN 150, ENGSCI 111, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 391
6441

ENGSCI 765

: Advanced Optimisation in Operations Research
2024 Semester One (1243)
Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Integer programming. The implementation and solution of optimisation models for practical applications.
Subject: Engineering Science
Prerequisite: 15 points from ENGGEN 150, ENGSCI 111, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 391
6442

ENGSCI 765

: Advanced Optimisation in Operations Research
2023 Semester One (1233)
Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Integer programming. The implementation and solution of optimisation models for practical applications.
Subject: Engineering Science
Prerequisite: 15 points from ENGGEN 150, ENGSCI 111, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 391
6443

ENGSCI 765

: Advanced Optimisation in Operations Research
2021 Semester One (1213)
Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Integer programming. The implementation and solution of optimisation models for practical applications.
Subject: Engineering Science
Prerequisite: Departmental approval
6444

ENGSCI 768

: Advanced Operations Research and Analytics
2024 Semester Two (1245)
Advanced Operations Research and Analytics topics including selected theory, algorithms and applications for non-linear programming, smooth and non-smooth optimisation, equilibrium programming and game theory.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6445

ENGSCI 768

: Advanced Operations Research and Analytics
2023 Semester Two (1235)
Advanced Operations Research and Analytics topics including selected theory, algorithms and applications for non-linear programming, smooth and non-smooth optimisation, equilibrium programming and game theory.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6446

ENGSCI 768

: Advanced Operations Research and Analytics
2021 Semester Two (1215)
Advanced Operations Research and Analytics topics including selected theory, algorithms and applications for non-linear programming, smooth and non-smooth optimisation, equilibrium programming and game theory.
Subject: Engineering Science
Prerequisite: ENGSCI 391 or 765
6447

ENGSCI 773

: Capstone Project
2025 Semester One (1253)
Group based projects involving the application and integration of knowledge in computational engineering, data analytics and operations research for design, prototyping and performance testing of a new product. Topics include social and Te Tiriti considerations, engineering design practice, optimisation methods in robust design, material selection and structural analysis, risk management, communication skills, prototype manufacturing and design validation.
Subject: Engineering Science
Prerequisite: 60 points from non-elective courses listed in Part III of the BE(Hons) Schedule for Engineering Science, including at least 15 points from ENGSCI 344, 355
Restriction: ENGSCI 363
6448

ENGSCI 773

: Capstone Project
2024 Semester One (1243)
Group based projects involving the application and integration of knowledge in computational engineering, data analytics and operations research for design, prototyping and performance testing of a new product. Topics include social and Te Tiriti considerations, engineering design practice, optimisation methods in robust design, material selection and structural analysis, risk management, communication skills, prototype manufacturing and design validation.
Subject: Engineering Science
Prerequisite: 60 points from courses listed in Part III of the BE(Hons) Schedule for Engineering Science
Restriction: ENGSCI 363
6449

ENGWRIT 101

: English Writing for Academic Purposes
2025 Semester Two (1255)
A skills-based analysis of texts written for academic purposes. Topics include: essays of comparison and contrast, argumentative essays, problem solution texts, literature reviews, critiques, and report writing.
Subject: English Writing
Restriction: ENGWRIT 94F
6450

ENGWRIT 101

: English Writing for Academic Purposes
2025 Semester One (1253)
A skills-based analysis of texts written for academic purposes. Topics include: essays of comparison and contrast, argumentative essays, problem solution texts, literature reviews, critiques, and report writing.
Subject: English Writing
Restriction: ENGWRIT 94F