Statistics and Probability Theory
| Structure Type: | Study unit |
|---|---|
| Code: | IKTP0502 |
| Type: | Compulsory / Basic Studies |
| Curriculum: | ET 2016 / 2017 / 2018 / 2019 / 2020 I-KT 2010 / 2010V / 2011 / 2011V / 2012 / 2012V / 2013 KT 2014 / 2015 / 2016 / 2017 / 2018 / 2019 / 2020 YT 2016 / 2017 / 2018 / 2019 / 2020 |
| Level: | Bachelor of Engineering |
| Year of Study: | 2 / 3 / 4 (2012-2013 / 2013-2014 / 2014-2015 / 2015-2016 / 2016-2017 / 2017-2018 / 2018-2019 / 2019-2020 / 2020-2021 / 2021-2022 / 2022-2023) |
| Credits: | 2 cr |
| Responsible Teacher: | Niemelä, Riitta / Tuominen, Jorma |
| Language of Instruction: | Finnish |
Courses
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 1 | I-KT-3N | 2013-01-07 – 2013-03-01 | Henry Niemi, Virpi Elomaa | Finnish | 2012-12-07 – 2013-01-07 |
| 2 | 2013-03-04 – 2013-05-24 | Henry Niemi, Virpi Elomaa | Finnish | 2013-02-11 – 2013-03-04 | |
| 3 | I-KT-3N | 2013-09-02 – 2013-12-21 | Mikko Ranta | Finnish | 2013-08-16 – 2013-09-13 |
| 4 | 2013-08-23 – 2013-11-02 | Mikko Ranta | Finnish | 2013-08-16 – 2013-09-13 | |
| 5 | I-KT-4N | 2015-09-01 – 2015-10-31 | Mikko Ranta | Finnish | 2015-08-14 – 2015-09-13 |
| 6 | 2015-10-26 – 2015-12-31 | Mikko Ranta | Finnish | 2015-08-14 – 2015-10-30 | |
| 7 | I-KT-3N | 2016-03-07 – 2016-05-07 | Mikko Ranta | Finnish | 2015-12-07 – 2016-03-11 |
| 8 | I-KT-3N | 2016-09-01 – 2016-12-31 | Mikko Ranta | Finnish | 2016-08-22 – 2016-09-19 |
| 9 | I-KT-3N | 2018-01-08 – 2018-04-27 | Kerstin Siegfrids | Finnish | 2017-12-11 – 2018-01-15 |
| 10 | I-ET-3N, I-YT-3N | 2018-08-31 – 2018-10-26 | Jarmo Mäkelä | Finnish | 2018-08-20 – 2018-09-17 |
| 11 | I-KT-3N | 2018-10-22 – 2018-12-21 | Jussi Ojanen | Finnish | 2018-08-20 – 2018-09-17 |
| 12 | I-ET-3N, I-KT-3N, I-YT-3N | 2019-09-02 – 2019-10-25 | Jussi Ojanen | Finnish | 2019-08-19 – 2019-09-09 |
| 3001 | ET2018-3, ET2018-3A, ET2018-3B, YT2018-3, YT2018-3A | 2021-01-04 – 2021-04-30 | Kerstin Siegfrids | Finnish | 2020-08-17 – 2021-01-10 |
| 3002 | KT2018-3, KT2018-3A, KT2018-3B | 2021-01-04 – 2021-04-30 | Lassi Lilleberg, Onni Pyhälahti | Finnish | 2020-08-17 – 2021-01-10 |
| 3003 | KT2019-3A, KT2019-3C | 2021-08-03 – 2021-10-25 | Kerstin Siegfrids | Finnish | 2021-08-01 – 2021-09-06 |
| 3004 | ET2019-3A, ET2019-3B, YT2019-3A | 2021-08-02 – 2021-10-25 | Kerstin Siegfrids | Finnish | 2021-08-01 – 2021-09-06 |
| 3005 | KT2020-3, KT2020-3A, KT2020-3B, KT2020-3C | 2022-08-30 – 2022-10-23 | Kerstin Siegfrids | Finnish | 2022-08-01 – 2022-09-06 |
| 3006 | YT2020-3, YT2020-3A, YT2020-3B | 2022-08-30 – 2022-10-24 | Kerstin Siegfrids | Finnish | 2022-08-01 – 2022-09-06 |
| 3007 | ET2020-3, ET2020-3A, ET2020-3B | 2022-08-29 – 2022-10-24 | Kerstin Siegfrids | Finnish | 2022-08-01 – 2022-09-06 |
The descriptions shown below are for the academic year: 2022-2023
Learning Outcomes
During this course a student learns the basics of the theory of probability and statistics. S/he knows how to sample using random numbers and understands the uncertainty factors related to samples and sample studies. S/he can work the material using a computer and present the data graphically, interpret statistic charts made by others and calculate parametres related to material and find out dependencies between variables. S/he understands the calculation rules of probability and knows the importance of probability as an interpreter of statistical significance. S/he learns to use the most important distributions with a computer and can complete basic statistical tests and calculate confidential intervals.
Student's Workload
The total amount of student's work is 54 h, which contains 24 h of contact studies.
The assessment of student’s own learning 1 h is included.
Prerequisites / Recommended Optional Courses
Differential and integral calculus
Contents
Collecting and processing statistical data, graphic representation and drawing conclusions. Calculation of indexes, probability calculation rules and probability distributions. Regression lines and correlation coefficient. Estimation of parametres, confidential intervals and average tests.
Recommended or Required Reading and Other Learning Resources/Tools
Majaniemi: "Matematiikka IV", Tietokotka Oy; the material prepared by the teacher.
Mode of Delivery / Planned Learning Activities and Teaching Methods
The basics of learning constitutes of lectures where the theory is explained and examples are given. Attending the lectures and only listening is not sufficient for proper learning. In practice, an independent pondering of the contents of the course becomes best realized when a student solves problems in groups at lectures and independently, at home.
Assessment Criteria
Grade 1: The student knows those subjects of the course, which are necessary for the forthcoming studies and working life.
Grade 3: The student is well-abled to utilize the course contents.
Grade 5: The student is able to apply creatively the contents of the course.
Assessment Methods
Exercises and examination. The student is required to actively take part in exercise sessions, in the same way as in Physics laboratory exercises. The student is required to perform at least one quarter of the homework exercises. All the given computer-related exercises must be handed in by the end of the course.