The goal of the course is to introduce the students to the basics of the modern machine learning techniques. After completion of the course the students will: have deeper knowledge of advanced techniques and methods of machine learning; be able to apply successfully the machine learning algorithms for solving real world problems; be able to conceptualize, analyze, realize and estimate the performances of a machine learning system.

Introduction to key elements for the development of marketing strategy and planning marketing program Developing skills for solving marketing problems through set of analytical tools (frames, concepts, models and techniques) Presentation of case studies how companies from different industries organize their marketing Integrating e-marketing into the overall marketing strategy Assessment of the content and structure of web pages against business objectives Application of the latest techniques in intenet marketing communications, such as viral marketing, blogs or social networks marketing.

Understanding the architecture of 16 bit microprocessors, integrated components for I/O devices and assembler programming. Comprehension of the basics of the architecture and organization of microprocessors as well as the existing techniques for their programming. Similarities and differences with microcontrollers.