Mathematics and Physics in Chemical Analysis (5 cr)
Code: TX00FM27-3001
General information
- Enrollment
-
01.05.2024 - 25.08.2024
Registration for the implementation has ended.
- Timing
-
21.10.2024 - 13.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 65
- Degree programmes
- Degree Programme in Laboratory Science
- Teachers
- Kari Salmi
- Tatu Suomi
- Groups
-
TXV24S1Degree Programme in Laboratory Science, päivä
-
TXS24S1Laboratorioanalytiikan tutkinto-ohjelma päivä
- Course
- TX00FM27
Implementation has 22 reservations. Total duration of reservations is 46 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 22.10.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC304
Oppimistila
|
Wed 23.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 24.10.2024 time 08:00 - 10:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Tue 29.10.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC304
Oppimistila
|
Wed 30.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 31.10.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC314
IT-Tila
|
Tue 05.11.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC232
IT-Tila, CAD
|
Wed 06.11.2024 time 13:00 - 15:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 07.11.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Tue 12.11.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC304
Oppimistila
|
Thu 14.11.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Tue 19.11.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC232
IT-Tila, CAD
|
Wed 20.11.2024 time 13:15 - 15:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 21.11.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Tue 26.11.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC232
IT-Tila, CAD
|
Wed 27.11.2024 time 13:15 - 16:00 (2 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 28.11.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Tue 03.12.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC304
Oppimistila
|
Thu 05.12.2024 time 08:15 - 10:00 (1 h 45 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Tue 10.12.2024 time 15:00 - 17:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC304
Oppimistila
|
Wed 11.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMC230
Oppimistila
|
Thu 12.12.2024 time 08:00 - 10:00 (2 h 0 min) |
Mathematics and Physics in Chemical Analysis TX00FM27-3001 |
MMB331
IT-Tila, CAD
|
Objective
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)
Location and time
N/A
Materials
Math: Material will be uploaded on OMA
Phys: Material will be uploaded on Moodle
Teaching methods
Lessons, guided assignments and homework problems
Employer connections
N/A
Exam schedules
Math: to be agreed later
Physics: to be agreed later
International connections
N/A
Completion alternatives
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
N/A
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
-
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%)
Qualifications
Basic Studies in Engineering Mathematics
Further information
Tuition is in English