731407 Applied mathematical programming in bio-economics
- Type
- Lecture and exercise
- Semester hours
- 2
- Lecturer (assistant)
- Schmid, Erwin
- Organisation
- Offered in
- Sommersemester 2024
- Languages of instruction
- Englisch
- Content
-
The course has three aims: i) review basics in applied linear and non-linear mathematical programming (e.g. objective function, variables, constraints, reduced costs, shadow price, model types, model error detection i.e. infeasibility, unboundedness, non-optimality); ii) learn to use the software package GAMS (General Algebraic Modeling System; https://www.gams.com/) in building mathematical programming models; and iii) learn to build techno-economic models to conduct economic and environmental impact assessments of biorefinery concepts (e.g. input and output data management, model building and comparative scenario analysis, assessment criteria, sensitivity & uncertainty analysis).
- Previous knowledge expected
-
mathematical programming, regression analysis, and scientific writing.
- Objective (expected results of study and acquired competences)
-
students are familiar with common biorefinery concepts and able to i) use the software package GAMS in order to build different types of mathematical programming models, ii) collect and manage data relevant in biorefinery assessments, iii) build techno-economic models to conduct impact assessments, iv) perform sensitivity and uncertainty analysis, and v) write scientific reports of the model analysis;
You can find more details like the schedule or information about exams on the course-page in BOKUonline.