Higher School of Economics National Research University

Russia

Available Courses

In today’s changing and uncertain world, effective communication is one of the most critical skills to develop. How you communicate ideas, feelings, instructions and thoughts is crucial to your success, especially in business. Communication is an activity, skill and art that incorporates lessons learnt across a wide spectrum of human knowledge. Business Communication course is designed to introduce skills and practices that will help you communicate and develop communication strategy for your business and/or for business of your clients/stakeholders. As part of the program, we will explore how to communicate in written and oral form. We will practice some of the fundamentals of business writing, including memoranda, email, business letters, and discuss how to be persuasive and engaging in these writings. Additionally, we will explore oral presentations and interviews. Theoretical part of the course includes key concepts, frameworks and theories which being applied in combination with practical tasks will contribute to the development of your communication skills and competencies. This course is designed to give students a comprehensive view of communication, its scope and importance in business as well as the role of communication in influencing the decision-making process.

Despite the globalization, international business is followed by the challenges of economic, institutional and cultural heterogeneity. Thus, to be able to perform internationally, managers are required to act in response to complexities of the global environment, both at strategic and operational levels. The course International Business offers a comprehensive overview of the issues related to managing businesses beyond and across national borders. Built on an effective balance between the managerial insights and theory, the course examines international business matters from the perspective of both established companies and new ventures.

Spatial Data Management Course gives in-depth and fundamental knowledge on spatial data technological and theoretical stack of spatial data tools, systems, libraries as well as definitions, algorithms, approaches respectively. We cover all aspects of programmatic management of spatial data including storage, processing, and visualization. The primary programming languages are Java, Python, and JavaScript. We use real-world spatial data like city maps and satellite observations. The course has one control work, homeworks, and exam as its assessment types. After successfully completing the course, the student will deeply understand the peculiarities of spatial data, will know core theory on spatial data management, and will be able to apply key spatial management techniques with popular system tools in practice.

The course presents two programming paradigms: functional programming and logic programming. Most of the attention is given to functional programming, as more useful in practice. The importance of learning other programming paradigms cannot be underestimated: it helps students to look at problems from different viewpoints, to attempt different ways of problem decomposition, as well as to use more appropriate tools (eg. functional and logic programming languages) for some of the problems. Students learn the mathematical basics and underlying algorithmic model of functional and logic languages, thus understanding deeper relationship between mathematical models and programming languages and their semantics. Most importantly, they also get experience in practical functional programming using F# programming language, which gives them useful practical tool for many data processing tasks. The course is designed for students of the bachelor program “Software Engineering” at the Faculty of Computer Science, HSE.

The course introduces Internet of Things field of computer science and hardware implementation including terminology, basic concepts, various areas of its application and different approaches to building its software and using its hardware with different kinds of system on modules. Lecture topics include physics on electrical schemes and networking, different kinds of the things themselves, various fields of the things implementation, software needed to code the things behaviour and store the data including Internet of Things operating systems. During the practice classes students have a lot of assignments based on two hardware platforms: Arduino Uno and Raspberry Pi 3/4 with Arduino IDE and Android Studio for Android Things OS (or other Unix/Linux-based OS like Raspbian with its software) respectively. Then students are given another assignment which replaces the course exam. The assignment is a hardware-software project based on a simple network of the things and has a certain purpose (smart home, smart weather station, smart plant, smart lock etc.). The assignment is divided into two parts: the first part is hardware (with systems on module mentioned and various sensors, controls, LEDs etc.) and the second part is software (preferably mobile application) controlling the hardware. This course is practice oriented – more attention is given to practice, not lectures.

The course attendants should develop skills and understanding in: the design methodology for databases and verifying their structural correctness; implementing databases and applications software in the relational model as well as in map/reduce paradigm; using querying languages, primarily SQL, and other database supporting software; applying the theory behind various database models and query languages; implementing security and integrity policies relating to databases; working in group settings to design and implement database projects.

a) Prerequisites and Exclusions Basic knowledge of information systems and digital infrastructure is required. Thus, the following courses must be passed before this course may be attempted: IS1060 Introduction to Information Systems, IS1181 Digital infrastructures for business, and Digital business transformation (IS2184, part 1). b) Abstract “Information system management” is a course for third-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. This course studies the management of information systems in organisations. It identifies the main managerial factors affecting the design and implementation of ICTs in organisations. It also introduces basic principles of project management and governance. The course also overviews the most common strategies associated with ICT management and the tools used to manage these strategies. These are contrasted with organisational issues such as structure, planning and control and deployment framework. Finally, the course provides a holistic view of benefit management and information systems strategy alignment.

The course is intended to be taught during the first semester of the program, so it starts from the very beginning and takes into account, that some of the students may have zero experience in programming. The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, focus on more theoretical aspects whereas the practical classes are intended for solving specific problems by coding programs in Python.

This course is designed to demonstrate a spectrum of modern practical marketing tools, mostly of short- and mid-term character, and how they can address strategic business decisions on all levels of the business model (value proposition, operations, go-to-market, and profit formula). Such tools include methods (techniques and tactics), analytical frameworks, and decision-making approaches as well as practical cases and guidelines. Students will develop e a holistic view of what marketing as a business function is capable of, how long it may take and how much it can cost. They will obtain hands-on knowledge on using marketing tools exercised by industry leaders. Teaching methods include both lectures and practical sessions. The lectures are designed to review relevant theoretical concepts studied in prior marketing courses and introduce modern marketing tools. The practical sessions will be held in groups and will be conducted via case discussions (utilizing a case method used for teaching at business schools) and other methods.

In this course the students will study how to use data analytics to learn about customer needs and improve targeting individual consumers. The course will encourage students to apply scientific methods and models to predict and respond to customer choices. This is the key part of learning Big Data. The term Big Data is viewed in the broad sense as it relates to various aspects of the consumer behavior, which may be captured, measured, and transformed to the digital form.Through applications of statistical models to the analysis of the real-world databases, the students will learn how firms may use customer data to serve customers better. The course is based on the analytic process model that represents the complex analytic process as a sequence of steps starting with the problem identification, selection and preparing of the data sources, analyzing data and preparing report for the decision makers. This process model defines the structure of this course and also illustrates how the information can be used in the different business settings and for different business purposes.

This curriculum establishes minimum requirements for the student’s knowledge and skills and defines the content and types of training sessions and reporting. The program is intended for teachers leading this discipline, teaching assistants and students of the direction 38.03.02 Management, studying the discipline “Logistics and supply chain management”. During the course of studying the discipline, students get acquainted with the main processes in logistics and supply chain management, as well as study their features in various business areas. The program was developed in accordance with: • The educational standard of the Federal State Autonomous Educational Institution of Higher Professional Education “National Research University Higher School of Economics”, in respect of which the category “National Research University” is established, in the direction of bachelor’s degree 38.03.02 Management.

This course addresses fundamental issues and concepts relevant to international marketers. It highlights the importance of viewing international marketing management from a global perspective and provides a basic understanding of global marketing strategy practices and decisions. The emphasis is on understanding the global markets’ similarities and differences and evaluating potential international opportunities and risks.

The course “International Financial Management” belongs to the disciplines for choosing a professional cycle of the curriculum for preparing a bachelor in the direction of Business Management. The companies’ operation at the international level can bring quite a lot of profit. Therefore, many companies are turning into multinational corporations (MNCs). Financial managers of such companies must be able to assess the international environment, recognize opportunities, implement strategies, assess risk exposure and manage risk. In particular, the adoption of managerial decisions by financial managers in the implementation of the international activities of the company includes: attraction of financial resources from international capital markets, evaluation of international investment projects, valuation of international business. MNCs are most capable of responding to changes in the international financial environment. What is provided by the special training of students, which includes the teaching materials of this course. The main provisions of the discipline can be used in the future when performing term papers and final qualifying work.

Built on an effective balance between the state-of-the-art research and managerial practice, the course is aimed to equip students with the fundamental knowledge about product management, as well as with the set of tools and techniques for managing a product throughout all stages of its lifecycle, from development, introduction to the market, growth, maturity and decline. The course offers a comprehensive look into the key aspects of product management, such as product planning, strategy and positioning, product portfolio management, product lifecycle management, product identity and brand management. During the course, students will be engaged in the team project work, designed to examine a variety of product management issues faced by real-world technologydriven and consumerproduct companies, with an emphasis on the role and associated responsibilities of product managers.

Marketing strategy The course is focused on the Marketing strategy implementation in a virtual simulation environment. The simulation (Digital Markstrat) has been used by the top business schools worldwide for the past 30 years. Used in combination with traditional training methods such as conceptual sessions or case studies, Digital Markstrat is a highly effective tool to learn strategic marketing concepts, such as brand portfolio strategy, segmentation and positioning strategy, as well as operational marketing. The Digital Markstrat simulation lasts for 8 periods that are distributed throughout the course. Students manage competing firms in a durable goods electronics market and make decisions regarding different aspects of the marketing strategy: production volume, pricing, target audience selection and product design. Each individual teams performance is measured through an integral indicator of the stock price index (SPI). It is based on the market share, financial performance and brand value for every company and is calculated every period to provide complex feedback. In order to achieve the course objectives student form teams of 4-5 people and make decisions based on the group discussions. The goal of the course is to explore the Marketing strategy concepts and endorse systematic vision of the marketing strategy. In order to facilitate group dynamics and help student teams make particular decisions regarding customer segment analysis or pricing we have in class discussion sessions. Learning Objectives • Students know and understand key concepts and models of marketing strategy including brand portfolio strategy, segmentation and positioning strategy, as well as operational marketing in the context of managerial activity. • Students realize the results of strategic and operational decision implementation both on the organizational level and in particular managerial functional areas. Expected Learning Outcomes • Decision making in marketing strategy field including pricing, new product development, product positioning. • Student knows key features and functions of Markstrat simulation, work process and final grade components • Students have applied skills of analysis and decision-making in Marketing strategy • Systematic knowledge of the managerial process with marketing, production and research facets. Course Contents • Topic 1. Introduction to the Markstrat Simulation by StratX • Topic 2. Marketing Strategy Fundamentals • Topic.3. New Business and Market Entry Strategy • Topic.4. Portfolio Strategy • Topic.5. Final Session: Markstrat debrief and team presentation