LEARNING OUTCOMES
After completing this course the student
1. can formulate a wide variety of optimization problems, which solutions can be used for making better decisions (e.g. allocating resources, selecting routes and assigning tasks), as (mixed integer) linear programming problems,
2. understands the theoretical foundation of the Simplex algorithm and duality, and knows the special characteristics of network and integer programming problems, and
3. can solve (mixed integer) linear programming problems using optimization software.
Credits: 5
Schedule: 09.01.2023 - 13.04.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Fabricio Pinheiro de Oliveira
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The simplex method and variants, duality for linear programming, introduction to integer programming, and specialised numerical methods. Applications to transportation, process industry, production planning, network design and others.
Assessment Methods and Criteria
valid for whole curriculum period:
Homework assignments and attendance.
Workload
valid for whole curriculum period:
Contact hours: 24h (12 x 2h sessions). Attendance is part of the grade.
Self-study: 96h (6 home assignments - 4h each plus; remainder for revising the content of lectures and exercise sessions)
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring III - IV
2023-2024 Spring III - IVEnrollment :
Sisu (sisu.aalto.fi)