Mathematics and Physics in Chemical Analysis (5 ECTS)
Code: TX00FM27-3003
General information
- Enrollment
- 05.05.2025 - 31.08.2025
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Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 20.10.2025 - 12.12.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 1 ECTS
- Mode of delivery
- On-campus and online
- Teaching languages
- English
- Seats
- 0 - 72
- Degree programmes
- Laboratory Sciences
- Teachers
- Kari Salmi
- Erna Piila
- Course
- TX00FM27
Implementation has 24 reservations. Total duration of reservations is 52 h 0 min.
Time | Topic | Location |
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Mon 20.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 23.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 23.10.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 27.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 30.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 30.10.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 03.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 06.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 06.11.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 10.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 13.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
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Thu 13.11.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 17.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 20.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 20.11.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 24.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 27.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 27.11.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 01.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 04.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 04.12.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Mon 08.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 11.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Thu 11.12.2025 time 12:00 - 14:30 (2 h 30 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3003 |
MMC230
Oppimistila
|
Learning outcomes
The aim of the course is to deepen the knowledge acquired in the Basic Studies in Engineering Mathematics course. Students will learn to understand how physics phenomena are related to laboratory analysis and how to use mathematical methods in laboratory analysis.
Content
• Basics of derivatives and integrals in a laboratory context
• Concept of probability and basic rules of calculation, random variables and their most common distributions in a laboratory context, confidence intervals
• Use of Excel or any other program in relation to laboratory applications
• Quantities, units and unit conversions
• Kinematics; linear motion
• Dynamics; Newton's laws of motion 1 - 3
• Circular motion
• Energy and power
• Pressure
• Fluid and gas flow
• Temperature, thermal expansion and heat transfer
• Electric current and simple DC circuits (Ohm's law)
Prerequisites
Basic Studies in Engineering Mathematics
Teaching methods
Lessons, guided assignments and homework problems
Location and time
According to the schedule
Learning materials and recommended literature
Math: Material will be uploaded on OMA
Phys: Material will be uploaded on Moodle
Alternative completion methods of implementation
Physics: not avaiable
Internship and working life connections
N/A
Exam dates and retake possibilities
Math: to be agreed later
Physics: no exams, homawork assignements can't be redone
International connections
N/A
Student workload
Total workload 5 cr = 135 h
Math:
Lessons: 30 h
Self study: 49 h
Exams: 2 h
Math total: 81 h
Physics:
Lessons: 24 h
Self study: 28 h
Exam: 2 h
Physics total: 54 h
Content scheduling
All tuition in 2nd period
Math:
1. Excel-exercises (basics, derivation of the titration curve, regression analysis, logarithmic scale etc.)
2. Basic probability, random variables, common probabilty distributions applied to the problems in laboratory analysis.
3. Derivation and integration in laboratory analysis
Physics:
Quantities, units and unit conversions.
Kinematics; Motion in straight line.
Dynamics; Newton's laws of motion 1 - 3
Circular motion
Energy and power
Pressure
Flow of liquids and gases
Temperature, thermal expansion and heat transfer
Electric current and simple direct current circuits (Ohm's law)
Further information for students
Lessons may be recorded in order to enable more flexible studies.
The use of artificial intelligence is permitted in homework assignments, but the use must be mentioned and it must be specified what was done with artificial intelligence.
Assessment methods and criteria
Final grade is based on math 60%, phys 40%
Math: Exam (80%), Excel-exercises and homework (20%)
Phys: Homework assignments (100%)
1 = 40% of max. points
2 = 52% of max. points
3 = 64% of max. points
4 = 76% of max. points
5 = 88% of max. points
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Students will identify the basic concepts and phenomena of mathematics and physics and be able to solve simple problems related to them.
Assessment criteria, good (3)
Students will be able to apply the basic concepts and phenomena of mathematics and physics to problems in basic science and engineering.
Assessment criteria, excellent (5)
Students will be able to apply the basic concepts and phenomena of mathematics and physics to more demanding problems in science and technology.
Assessment criteria, approved/failed
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