Statistics and Machine Learning (5 op)

Osaamistavoitteet (Opintojakso)

After completing this course, the student
-can compute and understands basic statistical measures
-is able to use basic statistical methods
-is able to conduct hypothesis testing
-knows the basic principles of machine learning
-knows the concepts of regression, clustering and classification
-knows the concepts of supervised and unsupervised learning
-is able to utilize statistical methods in technical problem solving

Sisältö (Opintojakso)

Statistical charts and numbers, probability, regression and correlation, hypothesis testing.
Basic concepts of machine learning

Esitietovaatimukset (Opintojakso)

Student needs to have basic skills in using Microsoft Excel or some other similar kind of software.

Arviointikriteerit, tyydyttävä (1-2) (Opintojakso)

Student understands and is able to name and define the basic concepts of statistics and machine learning.
Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.
Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.

Arviointikriteerit, hyvä (3-4) (Opintojakso)

Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.
Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.
Student can give and receive feedback actively and constructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.

Arviointikriteerit, kiitettävä (5) (Opintojakso)

Student is able to understand extensive entities and relation between them. Student is able to generalize, analyse and related the advanced problems to the professional context.
Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.
Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.

Aika ja paikka

Dates and times are shown in TuniMoodle and in Intranet.

Tenttien ja uusintatenttien ajankohdat

Three exams:

The first exam, part 1, will be held on Monday, 7th of October at 10.15-12.00 in D1-04 and

The second exam, part 2, will be held on Wednesday, 20th of November 2024 at 09.15-12.00 in D1-04 (auditorium).

The third exam part 3, will be held on Wednesday, 11th of December 2024 at 08.15 - 11.00 in the classroom B2-25.

Two re-sit exams, the first one will be held on Friday, 17th of January 2025 at 13.15-16.00 in the classroom B4-18 & B4-27, and the second on Friday, 7th of February at 13.15-16.00 in Festival Hall D1-04.

Arviointimenetelmät ja arvioinnin perusteet

The final grade is based on the exam and the homework. A homework package is given weekly (appr. 8+5 packages). One point is given for every submitted homework package in Moodle. Homework packages are not accepted by email. The maximum points for the first and second test (Statistics) is 21 + 21 = 42 points and the third test (Machine Learning) 28 points. The homework and the test together give the maximum of 83 points. The grade is based on the following table

21 points -> grade 1
33,5 points -> grade 2
46 points -> grade 3
58,5 points -> grade 4
71 points -> grade 5

Arviointiasteikko

0-5

Opiskelumuodot ja opetusmenetelmät

Contact studies, individual work, homework, videos

Oppimateriaalit

All material, theory and exercises, can be found in TuniMoodle. If necessary, a student can use math books he/she has used before and the Internet to search more information about the topics. Some solutions for the exercises will be published in TuniMoodle after every deadline.

Sisällön jaksotus

Topics and dates are shown in TuniMoodle.

Toteutuksen valinnaiset suoritustavat

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Harjoittelu- ja työelämäyhteistyö

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Kansainvälisyys

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Lisätietoja opiskelijoille

It is recommended that a student has a calculator, a computer and a formula book.