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Syllabus for

Academic year
TDA520 - Mathematical and computing modelling
 
Owner: TITEA
4,0 Credits (ECTS 6)
Grading: TH - Five, Four, Three, Not passed
Level: A
Department: 0701 - Datavetenskap DI CTH/GU


Teaching language: Swedish

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0103 Laboratory 0,0 c Grading: UG   0,0 c    
0203 Written and oral assignments 4,0 c Grading: TH   4,0 c    

In programs

TITEA INFORMATION ENGINEERING, Year 3 (compulsory)
TM Teknisk matematik, Year 2 (elective)

Examiner:




  Go to Course Homepage

Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Knowledge of mathematics to the same extent as a student in the third grade of the IT-programme. A course in algorithms is also recommended.

Aim

To model, i.e. to create an abstract model - or description - of a physical or logical reality is a central tool in both physics and engineering. A model makes it possible to represent, understand and optimize the real systems structure, appearance or behavior.


The ability to apply IT on different areas is essential for an engineer in the information systems area. This can be in traditional technical areas as well as in other areas, such as economy, medicine and games, where the variation in the description of problems and appropriate way of approaching them are great.


Based on this, the goal of the course is to give an ability to understand and choose appropriate models for different real systems and structures. This perspective makes the course connect the knowledge from theoretical courses - such as mathematics - to different applications.

Content

In these course we study:

  • Existing models and their properties.

  • How real systems can be modeled



Models can be such as functions, equations, statistical models, trees, graphs, logical models, relations and rule based models. Examples for systems and structures can be physics, language, traffic, geometric structures and complex systems.



The course uses realistic examples and compares different ways of modeling them; hence students will learn to motivate them and to describe properties, possibilities and limitations.

Organisation

-

Literature

To be decided later.

Examination

Assignments, summarizing essay.


Page manager Published: Thu 03 Nov 2022.