Optimisation
Course, Master's level, 1TD184
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 30 credits in mathematics of which 5 credits mathematics containing several variable calculus that can be taken in parallel. Computer Programming I. Participation in one of the courses Scientific Computing basic course, Scientific Computing I, Scientific Computing Bridging course or Numerical methods and Simulation. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2024
- Application code
- UU-12040
Admitted or on the waiting list?
- Registration period
- 21 October 2024–11 November 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 30 credits in mathematics of which 5 credits mathematics containing several variable calculus that can be taken in parallel. Computer Programming I. Participation in one of the courses Scientific Computing basic course, Scientific Computing I, Scientific Computing Bridging course or Numerical methods and Simulation. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 21 October 2024–11 November 2024
- Information on registration from the department
About the course
The aim of optimisation is to find the best, maximum or minimum solution to a problem, where the problem is formulated in mathematical terms. Such problems exist and emerge practically everywhere in real life. It might be to maximise the profit given the price and other conditions or to optimise the traffic flow.
Optimisation problems lead to large computational problems that need to be solved using computers and computational software. This course focuses on how such methods work and can be analysed as well as how the problems can be formulated. Realistic optimisation problems from different areas are solved in the course. Here is MATLAB (and the optimisation toolbox) used.
Reading list
- Reading list valid from Autumn 2023
- Reading list valid from Autumn 2022
- Reading list valid from Autumn 2020
- Reading list valid from Spring 2019
- Reading list valid from Autumn 2014
- Reading list valid from Autumn 2013
- Reading list valid from Spring 2013
- Reading list valid from Autumn 2011
- Reading list valid from Autumn 2010