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Statistics and Probability (3 cr)

Code: TZVM6300-3004

General information


Enrollment

01.11.2021 - 06.03.2022

Timing

07.03.2022 - 15.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Degree programmes

  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering

Teachers

  • Ida Arhosalo

Groups

  • TSA20SA
    Bachelor's Degree Programme in Electrical and Automation Engineering
  • TSA20SB
    Bachelor's Degree Programme in Electrical and Automation Engineering

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 2* 1,5h / week during weeks 10-15
Exam on week 16

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 16. Resits in Exam studio during May.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets