Optimization - DATAX505 (2023)

This paper teaches students a toolbox of optimization techniques. It covers traditional approaches, such as linear programming and Newton's method, and heuristic methods such as simulated annealing and evolutionary algorithms.

Paper Information

Points: 15.0
Prerequisite(s): Permission of the Head of Department.
Internal assessment / examination: 100:0
Restriction(s): STATS505

Trimesters and Locations

Occurrence Code When taught Where taught

DATAX505-23B (HAM) have been cancelled. Please contact the School or Faculty Office for more information.

Cancelled Occurrences

Cancelled Occurrences
23B (HAM)B Trimester : 10 Jul 2023 - 5 Nov 2023 Hamilton

Timetabled Lectures for Optimization (DATAX505)

There are no timetabled lectures for 2023 occurrences of DATAX505 in 2023.

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for DATAX505 for more details


Indicative Fees for Optimization (DATAX505)

Occurrence Domestic International
 Tuition Resource 
Fees Not Available
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Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Data Analytics | Statistics

Paper details current as of : 7 December 2022 9:58am
Indicative fees current as of : 9 December 2022 4:32am

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