Handbook

COMP90046 Constraint Programming

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2012:

Semester 2, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here.
For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours, made up of 24 one-hour lectures (two per week) and 12 one-hour workshops (one per week)
Total Time Commitment:

120 hours

Prerequisites:

One of the following:

Subject
Study Period Commencement:
Credit Points:

Corequisites:

None

Recommended Background Knowledge:

None

Non Allowed Subjects:

433-433 Constraint Programming
433-633 Constraint Programming
433-671 Constraint Programming

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website: http://www.services.unimelb.edu.au/disability/

Coordinator

Mr Sebastian Brand

Contact

Associate Professor Tim Baldwin

email: tbaldwin@unimelb.edu.au

Subject Overview:

Constraint programming is used to solve constrained satisfaction and optimization problems such as scheduling and allocation, which are of vital importance to modern business. Constraint programming allows these problems to be modeled at a high level, and allows the solving to take advantage of the structure of the problem.

Topics covered will be:

  • Modelling with constraints
  • Agorithms for manipulating constraints
  • Finite domain constraint solving
  • Global constraints
  • Programming search
  • Hybrid constraint solving
Objectives:

On completion of this subject students should be able to:

  • Model a complex constraint problem using a high level modeling language
  • Define and explore different search strategies for solving a problem
  • Explain how modelling interacts with the solving algorithms, and formulate models to take advantage of this
  • Use state of the art optimisation tools
Assessment:
  • Three projects due in weeks 4, 8 and 12 (30%)
  • And an end-of-semester exam not exceeding 3 hours in duration (70%)

To pass the subject, students must obtain a mark of at least 35/70 on the exam

Prescribed Texts:

None

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

On completion of this subject students should be able to have the:

  • Ability to undertake problem identification, formulation, and solution
  • Ability to utilise a systems approach to complex problems and to design and for operational performance
  • Ability to manage information and documentation
  • Capacity for creativity and innovation
Related Course(s): Bachelor of Computer Science (Honours)
Master of Engineering in Distributed Computing
Master of Science (Computer Science)
Related Majors/Minors/Specialisations: B-ENG Software Engineering stream
Computer Science
Master of Engineering (Software)

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