Multidisciplinary Optimization 7.5 credits
Course Contents
The course enables engineering students to apply optimization methods in the engineering process to optimize various product realization aspects. The applications can be both broad and<br>
multidisciplinary, or highly specific centered around for example detailed engineering design.
The course includes the following elements:
- Basic programming: variables, lists, functions, flow control, etc.
- Derivatives in multiple dimensions, numerical and automatic differentiation
- Univariate optimization, local descent and line search
- First-order methods, second-order methods, direct methods and population based methods
- Constraints, Lagrange multipliers, KKT-conditions, penalty methods
- Sampling, surrogate models, multiobjective optimization, Pareto optimality
Prerequisites
Passed courses of at least 150 credits in the program Industrial Product Realisation, or a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Mechanical Engineering, Product Development, Materials Engineering, Manufacturing Engineering, Industrial Engineering, Civil or Construction Engineering, or the equivalent. The bachelor’s degree should comprise a minimum of 15 credits in Mathematics. Proof of English proficiency is required.
Level of Education: Second cycle
Coursecode/Ladok code: TMOR25
The course is conducted at: School of Engineering
| Label | Value |
|---|---|
| Type of course | Programme instance course |
| Study type | Normal teaching |
| Semester | Autumn 2025: week 36 – week 43 |
| Rate of study | 100% |
| Language | English |
| Location | Jönköping |
| Time | Day-time |
| Tuition fees do NOT apply for EU/EEA citizens or exchange students | 21375 SEK |
| Syllabus (PDF) | |
| Application code | HJ-T5184 |