Kauppatieteet / Economics and Business Administration

The course is designed to facilitate students' self-directed learning, guided by the principles of student-centered learning and Problem-Based Learning (PBL). The course comprises the following components: Orientation and introduction Individual literature study: Independent reading and essay writing based on assigned course materials (scientific articles) Peer evaluation conducted in pairs or small groups, based on individual literature study Reflection

- Basic principles of philosophy of science - The objectives of doing research - Research process - Choice of research methods - The specific features of qualitative and quantitative research - Data gathering, methods, analysis and reporting - Assessing the quality of research

Core content: This course covers the main topics of multiple criteria decision making under certainty, uncertainty and risk. The topics discussed during the course therefore include: principles of decision making under certainty, uncertainty, risk and ignorance, multiple criteria decision-making (MCDM) and evaluation methods (TOPSIS, AHP), the use evaluations of absolute and relative type, efficiency assessment models (DEA), game theory (non-cooperative games of two players, cooperative games of two players with/without transferable gains, games against nature), validation of decision support systems and models and sensitivity analysis. MATLAB and Excel are used to build the models and solve assignments, to showcase the practical application of the presented methods. Additional content: fuzzy logic in decision-making is also covered, along with topics such as decision-support systems (DSS), expert systems and optimization. Special content: The course also introduces students to the basics of multiple expert decision-making and reaching consensus.

- The concepts and theories of supplier development and supplier relationship management including related sustainability perspectives - Evolving trends, practices and tools of supplier development and relationship management

The basics of the research work, information sources and services of the library, the basics of academic writing. Applying of research methods relative to empirical data. The argumentation and commentary of other student's thesis.

The course focuses on the knowledge and application of International Financial Reporting Standards (IFRS) in financial statement preparation. It also provides insights into international differences in financial reporting and their practical implications for accounting practices. Key topics include IAS/IFRS standards, their application in business combinations, leases, financial instruments, and impairment of assets. Company cooperation The course enables students to gather and analyze data from real companies to apply IFRS in practice and compare its treatment with US GAAP, while also allowing alternative data collection methods. During the course, students will examine the financial statements of Finnair in detail to understand the practical application of IFRS. Use of AI applications Students may use artificial intelligence tools to support problem-solving during the course, but they need to critically evaluate its limitations. Further details are provided during lectures.

Tutkimuksen tekemisen perusteet, tutkimuksessa käytettävät tietolähteet ja kirjaston tarjoamat tutkimusta avustavat palvelut, sekä tieteellisen kirjoittamisen perusteet. Tutkimusmenetelmien valinta ja aineistoon suhteuttaminen. Argumentaatio ja opponointi.

Opiskeluun liittyvät käytännön asiat, tiedonhaku ja kirjaston tietokannat, tekoäly opiskelussa, opiskelutaidot, urasuunnittelu, itsensä johtaminen, yrittäjämäinen oppiminen. Opintojaksoon kuuluu myös Academic Adventure -alkuseikkailu, joka järjestetään orientaatioviikolla.

Applying previously learned knowledge, gaining experience-based knowledge, writing a report.

Applying previously learned knowledge, gaining experience-based knowledge, writing a report.

Definition of Science and the Demarcation ProblemAssess: What makes my work scientific? The Historical Nature of ScienceUnderstand: The roots of scientific thinking. Exploring Different Schools within the Philosophy of ScienceSituate: What is my philosophy of science? Recognizing the Structure of an ArgumentReason: What is my method and main thesis? Connecting the Philosophy of Science to One’s Own ResearchPresent: My topic and its connection to the philosophy of science.

Laadullisen tutkimuksen ominaispiirteet, laadullisen tutkimuksen tiedonhankinnan strategiat ja menetelmät, laadullisen aineiston analyysi, laadullisen tutkimuksen raportointi, tutkimuksen hyvyyden arviointi ja tutkimusetiikka.

This course introduces students to the foundational ideas of operational research (OR) with minimal mathematical formalism. Designed for accessibility, the course focuses on concepts rather than calculations. It includes: An introduction to statistics and model building. A historical and philosophical overview of OR’s development. Case studies of OR applications and misuses. Reflections on the culture of quantification in science and policy. Discussions on ethics, uncertainty, and the limits of modeling.

- The concepts and theories of supplier development and supplier relationship management including related sustainability perspectives - Evolving trends, practices and tools of supplier development and relationship management

Core content: This course covers the main topics of multiple criteria decision making under certainty, uncertainty and risk. The topics discussed during the course therefore include: principles of decision making under certainty, uncertainty, risk and ignorance, multiple criteria decision-making (MCDM) and evaluation methods (TOPSIS, AHP), the use evaluations of absolute and relative type, efficiency assessment models (DEA), game theory (non-cooperative games of two players, cooperative games of two players with/without transferable gains, games against nature), validation of decision support systems and models and sensitivity analysis. MATLAB and Excel are used to build the models and solve assignments, to showcase the practical application of the presented methods. Additional content: fuzzy logic in decision-making is also covered, along with topics such as decision-support systems (DSS), expert systems and optimization. Special content: The course also introduces students to the basics of multiple expert decision-making and reaching consensus.

The course is designed to facilitate students' self-directed learning, guided by the principles of student-centered learning and Problem-Based Learning (PBL). The course comprises the following components: Orientation and introduction Individual literature study: Independent reading and essay writing based on assigned course materials (scientific articles) Peer evaluation conducted in pairs or small groups, based on individual literature study Reflection

- Basic principles of philosophy of science - The objectives of doing research - Research process - Choice of research methods - The specific features of qualitative and quantitative research - Data gathering, methods, analysis and reporting - Assessing the quality of research

The course examines how international business is linked to global sustainability challenges. As part of the course, teams of students organize a campus event that takes action on one sustainability challenge.