Introduction to systems analysis [ LBIR1305 ]

iCampus

Background in applied mathematics.

Systems analysis: definition, theory and background. Conceptual bases for modeling applied to systems analysis. Designing models for systems analysis: defining objectives, identifying hypotheses, mathematical formulation, programming, parameter estimation, and assessment of the model. Systems analysis examples will initially address different global issues, but a particular focus will be given to the problem food security as an illustratory example throughout the course.

Other, different modeling exercises/ projects will be carried out on computers based on a specific modeling tool (Simulink), in order to address different problems/ challenges in the areas of agronomical, biological and environmental engineering.

a. Contribution of instruction with regards to the referential of leaning outcomes

' Utilize a systemic approach to effectively address issues dealing with a biological, agronomical and environmental challenges/ problems.

Written exam and a programming exam.

Instructions in a teaching room.

The course consists of 5 introductory sessions (10hrs) which aim is to familiarize the student with key concepts underlying systems analysis. Another segment of the course (20hrs) will be entirely dedicated to modeling exercises/ projects with the aim of helping the student develop key and basic skills in modeling applied to systems analysis..

No specific instruction material is requested.