CP - Constraint Programming (course 1DL440) - Autumn 2013
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Official
AimConstraint programming proposes a set of techniques and tools for efficiently solving (hard) combinatorial problems. Doing so is crucial in many application domains, such as scheduling, planning, molecular biology, finance, linguistics, and so on. Many companies are successfully deploying constraint programming, making knowledge thereof a marketable asset. This course combines coverage of theoretical foundations with hands-on experience in modelling and solving real-life combinatorial problems. See the Constraint Applications Target GroupNatural-science students (biology, bioinformatics, physics, chemistry, ...), mathematics students, engineering students, finance students, linguistics students, computer-science students, and anyone interested in solving complex problems that have many constraints. Note that constraint programming is complementary to linear programming (a common technique in operations research): this course will be of particular interest to students with such a background. The target audience includes third-year and fourth-year undergraduate students, as well as graduate students. Prerequisites120 higher-education credits (that is 120 ECTS points) in science, technology, systems science, or linguistics, including 12 higher-education credits (that is 12 ECTS points) in programming and basic algebra. Programming skills in C++ are assumed. |
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