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5 course outlines found

1

COMPSCI 720

: Advanced Design and Analysis of Algorithms
2024 Semester One (1243)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems. Recommended preparation: COMPSCI 320
Subject: Computer Science
No pre-requisites or restrictions
2

COMPSCI 720

: Advanced Design and Analysis of Algorithms
2023 Semester One (1233)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems.
Subject: Computer Science
Prerequisite: COMPSCI 320
3

COMPSCI 720

: Advanced Design and Analysis of Algorithms
2022 Semester One (1223)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems.
Subject: Computer Science
Prerequisite: COMPSCI 320
4

COMPSCI 720

: Advanced Design and Analysis of Algorithms
2021 Semester One (1213)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems. Recommended preparation: COMPSCI 320 and a B- or higher in COMPSCI 220
Subject: Computer Science
Prerequisite: Departmental approval
5

COMPSCI 720

: Advanced Design and Analysis of Algorithms
2020 Semester One (1203)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems. Recommended preparation: COMPSCI 320 and a B- or higher in COMPSCI 220
Subject: Computer Science
Prerequisite: Departmental approval

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