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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Fundamentals of Optimization (MATH11111)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryConvexity; Linear Programming: model formulation, simplex method (SM): tableau form, revised SM, geometric interpretation, sensitivity analysis; Extensions and applications of LP: goal programming, data envelopment analysis (DEA), network optimization problems, piecewise linear objective, cutting plane methods; Duality in LP, Lagrangian Relaxation; Solving LP problems using commercial mathematical programming software; Public domain software for optimization, NEOS.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed:
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2015/16, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Course Start Date 21/09/2015
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 12, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 62 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) See 'Breakdown of Assessment Methods' and 'Additional Notes', above.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)MATH11111 Fundamentals of Optimization2:00
Learning Outcomes
Knowledge of basic optimization techniques. Ability to formulate decision problems as optimization problems. Ability to solve simple problems and to use the right software to solve complicated problems.
Reading List
None
Additional Information
Course URL https://info.maths.ed.ac.uk/teaching
Graduate Attributes and Skills Not entered
KeywordsFuO
Contacts
Course organiserProf Kenneth Mckinnon
Tel: (0131 6)50 5042
Email:
Course secretaryMrs Frances Reid
Tel: (0131 6)50 4883
Email:
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