- Opettaja
Mika Vaihekoski
Turun yliopiston Moodle
Hakutulokset
Contents Portfolio
theory and its extensions. Portfolio management in practice. Performance
analysis. Pricing models including e.g. CAPM, APT, and more advanced models.
Market efficiency and its implications. Behavioral finance. The latest results
as well as empirical testing of the theories as well as forecasting financial
time series.
- Opettaja
Mika Vaihekoski
Objectives
The purpose of the course is for the student to:
1. develop the skills required specifically for the controller's job description
2. understand the role of accounting in operations management
3. be able to develop performance measurement systems for various organizations
4. be able to support the application of strategic management accounting techniques in practice.
- Opettaja
Annika Hasselblad
A bachelor's thesis is the final thesis of a bachelor's degree in economics and business administration. When working on a bachelor's thesis, the student independently acquires, evaluates and reports information and practices his presentation and discussion skills, such as acting an opponent. During the course, a bachelor's thesis is prepared and presented. The bachelor's thesis is mainly based on existing source material.
The course creates a foundation for the advanced studies thesis work. The bachelor’s thesis work is very intensive and requires active participation from the students. Participation in the group meetings is obligatory. In the event of force majeure, students have to contact the supervisor in advance, and the supervisor may require written extra assignments.After completing the course, the student can independently write, comment on, and evaluate scientific text in his field. He knows how to critically select research material and materials relevant to his research topic and to analyze and interpret existing scientific information. The student knows how to conclude from the information he has collected, justify his conclusions, and present orally and report in writing the implementation and results of his research. He knows how to discuss the topic under discussion in the group and gives constructive feedback that promotes the work of others.
The goal is achieved by preparing research reports and discussing them with students. In the groups, we learn about the constructive critical discussion and opposition that are part of conducting research. The course creates a foundation for thesis work in advanced studies. The course uses goal-oriented learning assessment methods. In addition, each student prepares or updates their learning plan (HOPS).
- Opettaja
Md Khaled Hossain Rafi
Opintojakson jälkeen opiskelija hallitsee ohjelmoinnillisen ajattelun perusteet ja on tutustunut aiheeseen liittyvään ajankohtaiseen tutkimuskirjallisuuteen. Opintojakson suoritettuaan opiskelija hahmottaa ohjelmoinnillisen ajattelun merkityksen omassa työskentelyssään ja laajemmin työelämässä sekä yhteiskunnassa.
After
the course, the student manages the basics of computational thinking and is
familiar with some recent scientific literature around the topic. After
completing the course, the student understands the relevance of computational thinking
personally, for working life, as well as in society
- Opettaja
Jake McMullen
The course introduces distinctive characteristics of business-to-business (B2B) markets, teaches B2B marketing theory, and encourages students to apply B2B marketing theory to practice. Students will learn the importance and the role of B2B markets in the economy and society, B2B markets as interaction in networks, and the creation, development, maintenance and, if necessary, ending of relationships with customers and other organizational stakeholders.
- Opettaja
Harri Terho
After the course the student will
- have the confidence to start applying Python programming into their own data analysis tasks
- be able to explain key concepts related to computer science, programming and digital data analysis
- be able to produce modular and readable code (using functions, modules, clear variable names, comments etc.)
- understand and be able to apply common control flow statements such as conditions and for-loops
- be able to use a version control system (git) and an online repositories (GitHub) for documenting and communicating their work
- be able to independently search for information and read documentation of different methods
- understand and be able to explain the importance of version control and open science for practical and scientific purposes
- Opettaja
Juuso Suomi
Objectives
Subject-specific competence:
After the course, the student can identify research questions in materials science that can be solved by machine learning. They can explain basic data analysis and select suitable representations as input for ML. They can evaluate which ML methods might be best for tackling different materials science problems, and how to improve model performance. They can plan and carry out a ML project on materials data.
Transferable skills:
After the course, the student will gain experience with problem solving, critical thinking and data analytics. They will practice team work, collaboration and scientific communication. They will gain project management skills, practice data visualization and presentation. They will acquire IT skills with computer software for simulations and material visualisation. They will exercise critical thinking, peer and self evaluation and gain experience with giving and receiving feedback.

- Opettaja
Milica Todorovic
To learn the principles and limitations of machine learning and AI approaches for biosignals and health data. To learn how to build machine learning models suitable for these data types. To learn how to derive predictions from the analysis results. To learn how to improve the analysis/prediction accuracy by fusing different data sources. To develop practical skills in biosignal analysis by doing hands-on exercises.
- Opettaja
Tuukka Panula
Opintojakson suoritettuaan opiskelija osaa ymmärtää vaipassa ja maan kuoressa tapahtuvan osittaissulamisen, sulien differentioitumisen ja magmojen kiteytymisen kivilajeiksi. Opiskelija osaa myös yhdistää magmatyypit ja magmakivilajit globaaleihin laattatektonisiin ympäristöihin.
- Opettaja
Teemu Vehkamäki