The topics discussed during the course will include the importance of teaching culture in FL classes, British history, geography, monarchy, parliament, education, family, young people, sports, media, class, literature and music. Students will also learn how to teach culture related topics in English classes at basic school and some vocabulary connected with these topics.

The course is fully online, with materials shared on MS Teams. The course is a learning experience designed to help understand, create, and leverage communities of practice. Participants in the course will learn about the concept of communities of practice, their benefits, and how to identify or create them within their organization. The course will also cover topics such as collaboration, knowledge sharing, cultivating new expertise, all of which are essential for effective participation in a community of practice. By the end of the course, participants will have a better understanding of how communities of practice can contribute to organizational learning and development, and how to leverage them to improve performance and achieve objectives.

Topics covered by the course include: The role of a business analyst; business analysis lifecycle; strategy analysis; stakeholder analysis; data gathering techniques; business modelling; defining business requirements; defining business improvement options; feasibility studies; risk assessment; business case development.

This practical course enables students to understand the importance of communication in the workplace and as applied to the management of people. Through communication model analysis, students get to know the essence of communication, its goals and driving factors. Explained constructs and approaches are practically applied in three ways: (1) in-class practical exercises (e.g., business meeting simulation); (2) between-class written assignments (e.g., preparing a resume with a motivation letter); (3) in-class speaking assignments with between-class preparation (e.g., delivering speeches). Many of the tasks of this course call for students` cooperation and promote joint activities. To put the learned constructs and skills in context, two speakers from relevant companies operating in Estonia will be invited to talk about the application of communications to real-life business situations and share their experience with different communication formats and approaches.

The course is structured around "vertical" topics (problems) and "horizontal" topics (methods). The vertical topics encompass a range of problems from sales, marketing and operations, such as product adoption, purchasing prediction models, understanding brand value of a company. The horizontal topics include data mining and statistical analysis topics: * Data mining: Classification (e.g. decision trees), clustering (e.g. hierarchical, k-means), and prediction (using e.g. decision tree). * Sentiment analysis * network analysis In addition, linear regression and logistic regression techniques will also be put to a more concrete applied use as the testing error will be minimized in industrial settings.

This course covers the fundamentals of data analytics and its applications in the business context . The course will cover the essentials of data analysis methods and tools, foundations of data visualisation, decision-making under uncertainty and practical business data analytics. The course will also include two group-assignments and seminars for presenting their results as well as guest lectures delivered by senior specialists working in the business data analytics domain. The course will conclude with a recap and Q&A session.