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Statistics and Probability (5 cr)

Code: 5000BL67-3008

General information


Enrollment
01.12.2023 - 15.01.2024
Registration for the implementation has ended.
Timing
08.01.2024 - 30.04.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
English
Seats
20 - 40
Degree programmes
Degree Programme in Information and Communications Technology
Teachers
Mikko Peltonen de Santiago
Course
5000BL67

Realization has 6 reservations. Total duration of reservations is 12 h 0 min.

Time Topic Location
Tue 02.04.2024 time 14:00 - 16:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C1042_Myy MYY
Wed 03.04.2024 time 14:00 - 16:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C3043 Teoriatila muunto
Tue 09.04.2024 time 14:00 - 16:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C1027_Lambda LAMBDA
Wed 10.04.2024 time 12:00 - 14:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C2033_2034 Teoriatila muunto
Tue 16.04.2024 time 14:00 - 16:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C3043 Teoriatila muunto
Wed 17.04.2024 time 12:00 - 14:00
(2 h 0 min)
Statistics and Probability 5000BL67-3008
ICT_C3043 Teoriatila muunto
Changes to reservations may be possible.

Evaluation scale

H-5

Content scheduling

- mean and standard deviation figures
- diagrams and their differences
- regression, correlation
- basic definitions and formulas of probability
- discrete probability distribution, binomial distribution, Poisson distribution
- continuous probability distribution, normal distribution, normalization
- statistical testing, sampling, confidence interval
- z-test and t-test of average
- contingency tables and chi-square test

Objective

After completing the course the student can:
- calculate different mean and standard deviation figures for a given statistical data
- determine the regression line and correlation, and understand their significance
- identify and draw various statistical diagrams
- recognize the basic concepts of continuous and discrete probability distributions
- normalize a normally distributed variable and calculate the associated probabilities
- calculate confidence intervals and understand the significance of error in statistical mathematics
- determine p-value using the z-test and t-test of average
- construct contingency tables and apply the chi-square test

Content

- mean and standard deviation figures
- diagrams and their differences
- regression, correlation
- basic definitions and formulas of probability
- discrete probability distribution, binomial distribution, Poisson distribution
- continuous probability distribution, normal distribution, normalization
- statistical testing, sampling, confidence interval
- z-test and t-test of average
- contingency tables and chi-square test

Materials

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in ITSLEARNING.

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding to use the mean and standard deviation,.. , and the figures to analyze the data.
The students will team up for a project work and writing reports on some current and relevant aspect of statistics, which gives everyone an opportunity to understand the topic; all students will develop their statistical proficiency.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Completion alternatives

Probability and Statistics (3rd edition),Murray R. Spiegel, John J. Schiller, R. Alu Srinivasan, SCHAUM’S outlines.

Student workload

Classroom activities: Classroom activities participation: 50 h
Homework: Working on homework sets 1-6: 30 h
Project work: Research, presentation material, presentation: 20h
Final exam: Preparing for the final exam : 25 h

Qualifications

Courses Engineering Precalculus, Calculus and Topics in Applied Mathematics
OR
equivalent skills

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