September 8 -

December 22  

Thursdays 

18:00 - 21:00

In-person

FINANCIAL MANAGEMENT

Faculty: Raimonds Lieksnis

This class is designed to introduce the study of the concepts and practices of modern financial management, in particular the investment and financing decisions of corporations.

Students will be introduced to topics as Financial statements, Financial ratio analysis, Bond and stock valuation, Financial planning, Debt policy and others.

  September 6 -

December 22 

Tuesdays 

18:00 - 21:00

In-person

MANAGERIAL COMMUNICATIONS

Faculty: Greg Mathers, Tom Schmit

This class is designed to provide students the opportunity to study in detail the theoretical and practical approaches to business and management communication. The course combines lecture, discussion and presentation. In the course you learn to analyze audiences, develop arguments, and test your ability to persuade in writing and speaking. Course work will involve both persuasive and expressive writing, individual and group presentation, class discussion and individual exercises designed to sharpen your performance.

  September 5 -

December 22 

Mondays 

18:00 - 21:00

Remote

DIGITAL MARKETING

Faculty: Rihards Zeiļa

The purpose of this course is to provide students with hands-on experience of planning and executing digital marketing campaigns independently or within organisations. We will examine current digital marketing trends all over the world with a view of its adaptation into Latvian business reality.

  September 5 -

December 22 

Tuesdays 

18:00 - 21:00

In-person

INNOVATION MANAGEMENT

Faculty: Aldis Greitāns

The course will raise participants’ awareness that innovation management is a methodical process that requires a systematic approach and application of a wide range of managerial skills. It will supply students with a toolset for product and service development applicable in both a corporate environment as well as when starting up new companies.

  September 8 -

December 22 

Thursdays 

18:00 - 21:00

In-person

MANAGERIAL ECONOMICS

Faculty: Andrejs Jakobsons

The primary objective of the course is to review the key concepts, expand students' knowledge of economic theory and to demonstrate applications of the theory in practice. The course will show how the application of economic theory and concepts helps managers to make allocation decisions that support the goals of their firms.

  September 7 -

December 14 

Wednesdays 

18:00 - 21:00

Remote

MANAGEMENT INFORMATION SYSTEMS

Faculty: Sanita Meijere

The objective of the course is to enable students to create effective & efficient processes and organizations. The course aims to build understanding of the role of IT in achieving strategic advantage and operational effectiveness, main technological trends that have direct impact on organizations, standard IT solutions currently deployed in the organizations, IT project management fundamentals, IT related standards, IT service and product tendering process and best practices.

  September 8 -

December 15 

Thursdays 

18:00 - 21:00

Remote

MARKETING MANAGEMENT

Faculty: Kārlis Apkalns

The purpose is to acquaint students with the process of formulating and implementing marketing management strategies in complex environments. We will examine current best practices in Europe and North America with a view to adopting them to the Latvian business environment.

 September 7 -

December 14 

Wednesdays

18:00-21:00

In-person

MANAGERIAL STATISTICS

Faculty: Andrejs Koliškins

Statistical methods are widely used in accounting, finance, management and marketing. A manager needs to know how to use the available information to make better decisions.

The course objectives are to learn how to properly present and describe information, to undrestand how to draw conclusions about large populations based only on information available from samples, to learn how to improve processes, to unrderstand how to obtain reliable forecasts

  August 29 -

December 19 

10-14 hours per week

Remote

MIT Probability course

Course instructor: Jānis Lazovskis

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem-proof" format, we develop the material in an intuitive but still rigorous and mathematically-precise manner. The course covers all of the basic probability concepts, including, multiple discrete or continuous random variables, expectations, laws of large numbers, the main tools of Bayesian inference methods, and others. This course is a part of the MITx MicroMasters program in Statistics and Data Science at Massachusetts Institute of Technology (USA).