Mathematics and Physics in Chemical Analysis (5 cr)
Code: TX00DJ79-3007
General information
- Enrollment
-
01.05.2023 - 27.08.2023
Registration for the implementation has ended.
- Timing
-
23.10.2023 - 15.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 0 - 45
- Degree programmes
- Laboratory Sciences
- Teachers
- Eija Koriseva
- Kari Salmi
- Course
- TX00DJ79
Implementation has 26 reservations. Total duration of reservations is 58 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 24.10.2023 time 09:00 - 11:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 24.10.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 27.10.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 31.10.2023 time 08:15 - 11:00 (2 h 45 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 31.10.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 03.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 07.11.2023 time 09:00 - 11:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 07.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 10.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 14.11.2023 time 08:15 - 11:00 (2 h 45 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 14.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 17.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 21.11.2023 time 09:00 - 11:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 21.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 24.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 28.11.2023 time 08:15 - 11:00 (2 h 45 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 28.11.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 01.12.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 05.12.2023 time 09:00 - 11:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 05.12.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 08.12.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMC314
IT-Tila
|
Tue 12.12.2023 time 08:15 - 11:00 (2 h 45 min) |
KOE: Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Tue 12.12.2023 time 12:00 - 14:00 (2 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Fri 15.12.2023 time 12:30 - 16:30 (4 h 0 min) |
Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
MMA238.1
Oppimistila
|
Wed 17.01.2024 time 16:00 - 18:30 (2 h 30 min) |
Fysiikan UUSINTAKOE: Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Wed 31.01.2024 time 16:00 - 18:30 (2 h 30 min) |
Fysiikan 2. UUSINTAKOE: Kemiallisen analytiikan matematiikka ja fysiikka TX00DJ79-3007 |
Online
|
Objective
On completion of the course, the student has a deepened understanding of the topics introduced in Math and Science Basics 1. The student can understand how physical phenomena are related to the laboratory analysis and gains a deeper understanding of a natural scientific phenomenon that underlies a technical application. Student can apply scientific methods in laboratory analytics problems. Student can use Excel applied to the laboratory analysis.
Content
1. Excel-exercises integrated to the course of analytical chemistry in laboratory analytics (derivation of the titration curve, regression analysis, using the logarithmic scale in laboratory analysis
2. Basic probability, random variables, common probabilty distributions applied to the problems in laboratory analysis.
3. Derivation and integration in laboratory analysis
4. Kinematics: motion in one dimension
5. Dynamics: Newton’s laws 1 - 3
6. Energy and power
7. Circular motion
8. Pressure of fluids
9. Arkhimedes principle
10. Flow of fluids
11. Viscosity
12. Temperature
13. Thermal expansion
14. Heat capacity and chemical calorimetry
15. Heat transfer
16. Electric current and basic DC circuits (Ohm’s law)
Materials
Math:
Phys: Material will be uploaded on Moodle
Teaching methods
Lessons, guided assignments and homework problems
Employer connections
N/A
Exam schedules
Physics: To be agreed during the course
International connections
N/A
Completion alternatives
Physics: Exam
Student workload
Total workload 5 cr = 138 h
Assessment criteria, approved/failed
Vähintään x% maksimipisteistä, fysiikka vähintään x%
Content scheduling
Math:
1. Excel-exercises integrated to the course of analytical chemistry in laboratory analytics (derivation of the titration curve, regression analysis, using the logarithmic scale in laboratory analysis
2. Basic probability, random variables, common probabilty distributions applied to the problems in laboratory analysis.
3. Derivation and integration in laboratory analysis
Physics:
Kinematics: motion in one dimension
Dynamics: Newton’s laws 1 - 3
Energy and power
Circular motion
Pressure of fluids
Arkhimedes principle
Flow of fluids
Viscosity
Temperature
Thermal expansion
Heat capacity and chemical calorimetry
Heat transfer
Electric current and basic DC circuits (Ohm’s law)
Further information
N/A
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student recognizes the fundamental concepts and methods introduced in the course, and can solve simple problems related to the laboratory analysis. Student knows the basic functions of Excel program needed in the laboratory analytics.
Assessment criteria, good (3)
The student can apply the fundamental concepts and methods introduced in the course to common scientific or technical problems in laboratory analytics. Student can use the Excel to make various graphs in the assignments in the laboratory analysis.
Assessment criteria, excellent (5)
The student can apply the fundamental concepts and methods introduced in the course to more advanced scientific or technical problems in the area of laboratory analysis. Student can use Excel in statistical analysis related to the problems in the laboratory analysis.
Assessment criteria, approved/failed
The student recognizes the fundamental concepts and methods introduced in the course, and can solve simple problems related to the laboratory analysis. Student knows the basic functions of Excel program needed in the laboratory analytics.
Assessment methods and criteria
Final grade is based on math 60%, phys 40%
Assessment criteria, satisfactory (1-2)
Grade 1-2. The student recognizes the fundamental concepts and methods introduced in the course, and can solve simple problems related to the laboratory analysis. Student knows the basic functions of Excel program needed in the laboratory analytics.
Assessment criteria, good (3-4)
Grade 3-4. The student can apply the fundamental concepts and methods introduced in the course to common scientific or technical problems in laboratory analytics. Student can use the Excel to make various graphs in the assignments in the laboratory analysis.
Assessment criteria, excellent (5)
Grade 5. The student can apply the fundamental concepts and methods introduced in the course to more advanced scientific or technical problems in the area of laboratory analysis. Student can use Excel in statistical analysis related to the problems in the laboratory analysis.Grade
Qualifications
Student has participated to the course of Basic science 1
Objective
On completion of the course, the student has a deepened understanding of the topics introduced in Math and Science Basics 1. The student can understand how physical phenomena are related to the laboratory analysis and gains a deeper understanding of a natural scientific phenomenon that underlies a technical application. Student can apply scientific methods in laboratory analytics problems. Student can use Excel applied to the laboratory analysis.
Content
1. Excel-exercises integrated to the course of analytical chemistry in laboratory analytics (derivation of the titration curve, regression analysis, using the logarithmic scale in laboratory analysis
2. Basic probability, random variables, common probabilty distributions applied to the problems in laboratory analysis.
3. Derivation and integration in laboratory analysis
4. Kinematics: motion in one dimension
5. Dynamics: Newton’s laws 1 - 3
6. Energy and power
7. Circular motion
8. Pressure of fluids
9. Arkhimedes principle
10. Flow of fluids
11. Viscosity
12. Temperature
13. Thermal expansion
14. Heat capacity and chemical calorimetry
15. Heat transfer
16. Electric current and basic DC circuits (Ohm’s law)
Qualifications
Student has participated to the course of Basic science 1