•   Statistics and Probability Theory 5000BL67-3003 28.08.2022-24.12.2022  5 credits  (PTIVIS19H, ...) +-
    Competence objectives of study unit
    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
    Prerequisites
    Courses Engineering Precalculus, Calculus and Topics in Applied Mathematics

    OR

    equivalent skills
    Content of study unit
    - 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
    Teacher(s) in charge

    Hazem Al-Bermanei

    Learning material

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

    Learning methods

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

    Objects, timing and methods of assessment

    Homework sets 1-6: 30 %: Total of thirty homework exercises based on reading material and classroom notes: diagnostic/formative self / teacher evaluation
    in connection with each homework set return session.
    Project work, reports, presentations: 40 % : Each outcome of the project work is assessed independently (assessment criteria is specified in Optima): peer feedback summative teacher feedback at the end of the course.
    Final exam: 30 %: A written exam (1,5 hrs) on specified material: Summative teacher evaluation at the end of the course

    Teaching language

    English

    Timing

    28.08.2022 - 24.12.2022

    Enrollment date range

    01.06.2022 - 09.09.2022

    Group(s)
    • PTIVIS19H
    • PINFOS19
    • PTIVIS19O
    • PTIVIS19T
    • PTIVIS19S
    • PTIVIS19P
    Responsible unit

    Engineering and Business

    Teachers and responsibilities

    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

    Degree Programme(s)

    Degree Programme in Information and Communication Technology, Degree Programme in Information and Communications Technology

    Campus

    Kupittaa Campus

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Alternative methods of attainment for implementation

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

    Pedagogic approaches

    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.

    Student's schedule and 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

    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

    Assessment criteria
    Failed (0)

    Fail in the final exam and not doing the assignments.

    Assessment criteria – satisfactory (1-2)

    Collect (50--60) points in the exam and doing 50% of the assignments.

    Assessment criteria – good (3-4)

    Collect (70--80) points in the exam and doing at least 75% of the assignments

    Assessment criteria – excellent (5)

    Collect (90--100) points in the exam and doing at least 90% of the assignments