Statistics and Probability (5 cr)
Code: 5000BL67-3005
General information
- Enrollment
-
01.06.2023 - 17.09.2023
Registration for the implementation has ended.
- Timing
-
05.09.2023 - 15.12.2023
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
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
- Teachers
- Hazem Al-Bermanei
- Groups
-
PTIVIS20PGame and Interactive Technologies
-
PTIVIS20SEmbedded Software and IoT
-
PTIVIS20HTerveysteknologia
-
PTIVIS20TData Networks and Cybersecurity
-
PTIVIS20OSoftware engineering and Project Management
- Course
- 5000BL67
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