Laaja matematiikka ja fysiikka II: Data ja todennäköisyys (5 cr)
Code: TX00CR99-3004
General information
Enrollment
02.12.2019 - 08.03.2020
Timing
16.03.2020 - 10.05.2020
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
ICT ja tuotantotalous
Campus
Leiritie 1
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Degree Programme in Information Technology
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Teachers
- Ari Koistinen
- Juha Kopu
Groups
-
LUMAExtensive Mathematics and Physics study module
Objective
A student acquires the understanding of statistical phenomena. (S)he also learns to handle and analyze data and master related more advanced mathematics. A student with a successful completion of the course obtains knowledge that may help her/him to apply for master programs.
On completion of this course the student:
• understands the significance of statistical phenomena in natural sciences and technology
• has the big picture of the most important mathematics and mathematical methods related to probability, statistics and data analysis
• understands the basic phenomena of solid-state physics and their impact and the effect of entropy in physical phenomena and procedures applying statistical theories
• is able to analyze and solve essential physical problems
• masters the software used in the course
• understands the contents of related scientific and technical articles
Content
• Probability and statistical mathematics
• Statistical physics, especially thermodynamics and entropy and its impact on solid-state physics
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student:
• understands the basic phenomena of statistical physics and thermodynamics
• is able to solve basic mathematical problems of the course
• can explain and present mathematical solutions of physical problems practiced in the course
Assessment criteria, good (3)
In addition to satisfactory criteria, the student:
• understands the impact of statistical physics in solid-state physics and is able to analyze the relationship between the laws of statistical physics and the mathematical methods related to the applications
• is able to apply learned mathematical methods
Assessment criteria, excellent (5)
In addition to the good criteria, the student:
• has an excellent understanding of the studied physical phenomena and their applications
• masters excellently the mathematical methods of the course
• can apply his/her acquired knowledge and methods into various situations
• understands scientific and technical articles of the fields studied in the course
Assessment criteria, approved/failed
The student:
• understands the basic phenomena of statistical physics and thermodynamics
• is able to solve basic mathematical problems of the course
• can explain and present mathematical solutions of physical problems practiced in the course
Qualifications
A student who masters the basics of classical physics (mechanics, electricity and wave motion) and has good mathematical basic skills (basic differentiation and integration), benefits most of this course.