Economics and Data Analytics (studies in Lithuanian)

Dalyko anotacija

Šiame įvadiniame logikos kurse nagrinėjami šio mokslo pagrindiniai klausimai, tokie kaip fakto ir proto tiesų skirtingumas, mintinių struktūrų formalios analizės prielaidos, pagrindiniai loginiai santykiai (tautologija, kontradikcija ir išvedamumas), išvestinio žinojimo loginio pagrįstumo klausimai, formalūs ir neformalūs reikalavimai įrodymui, pagrindiniai įrodymo metodai. Kurse supažindinama su paprasto kategorinio silogizmo teorija, išsamiai pristatoma ir taikoma teiginių logikos teorija. Didelis dėmesys skiriamas natūralios kalbos formalizavimo praktikai, kalbinių išraiškų vertimui į ekvivalentiškas išraiškas, samprotavimo bei įrodymo loginės analizės metodams, teiginių analizei neprieštaringumo požiūriu. Pagrindiniai kurse taikomi analizės metodai: matricų (teisingumo lentelių) metodas, tiesioginio, sąlyginio ir netiesioginio įrodymo metodai, Venno diagramų metodas.

Dalyko tikslas

Supažindinti studentus su teoriniais logikos mokslo pagrindais, pagrindiniais loginės analizės metodais bei jų taikymu.

Dalyko studijų siekiniai

• Suvokti teorinius logikos mokslo pagrindus bei pagrindinius loginės analizės metodus;
• Sugebėti atpažinti formalias ir neformalias logines klaidas samprotavime bei įrodyme;
• Mokėti įvertinti, ar teiginiai (visų pirma – samprotavimo prielaidos / įrodymo argumentai) nėra prieštaringi;
• Gebėti struktūriškai ir nuosekliai mąstyti;
• Suvokti loginio išvedimo svarbą; atpažinti ir taisyti neformalias argumentavimo klaidas.

Managing customer demands in this digitally-powered market is an uphill task. Businesses must look into large amounts of data in order to derive valuable and actionable insights that can guide improved decision-making processes. This is challenging to implement without utilizing technologies such as Artificial Intelligence (AI), Data Science, as well as Predictive Analytics. Out of all these technologies, Artificial Intelligence has played the most significant part in transforming the way business is done today.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, a repository of data gathered from various sources, including corporate databases, summarized information from internal systems, and data from external sources. Analysis of the data includes simple query and reporting, statistical analysis, more complex multidimensional analysis, and data mining in business.

Annotation

This course is an introduction into the contemporary debate on the changing patterns of the international economy and challenges the world is facing. The course deals with three major aspects of the global economy, firstly the trans-national economic flows, such as trade in goods and services, migration, financial transactions and investment. The problems are discussed before the background of international micro- and macro-economy. The aspects covered are balance of payments dynamics, exchange rate regimes, national income accounting, terms of trade, etc. Secondly the course deals with the downsides of economic globalisation such as the underlying reasons for crises and their effects on the economy, poverty and environmental degradation. Thirdly the course looks at the actors in the global economy: international organizations, national governments, non-governmental organisations, multinational corporations and regional integration initiatives. Hereby the motives, interest and interaction of the actors is scrutinised and furthermore the development of the global economic governance system is discussed.

Aims of the Course

The International Economics and Trade course aims to equip students with necessary analytical tools for analyzing and critically assessing the current dynamics of the international economy and challenges the nation states face in their pursuit of economic welfare. In particular, this course aims to:

• Introduce students to various conceptualizations and theories of (economic) globalization phenomena;
• Analyze global trade and finance governance structures and assess their policies and role in international economics;
• Examine strategies and techniques of trans-national corporations in global economy;
• Discuss the key issues and future challenges for the globalized world economy of the 21st century;
• Identify and exemplify causes and consequences of change in international labour, trade and financial flows;
• Provide the underpinnings of the global financial system;
• Discuss the causes and policy actions surrounding economic crises;
• Give an oral presentation on a selected topic on International economics & trade.

Annotation

This course is based on the Harvard CS50x course curriculum – introduction to the intellectual enterprises of computer science and the art of programming. Through the course, students learn how to solve real-life problems in the most efficient way using algorithms. The course introduces problem-solving, which is inspired by the arts, humanities, social sciences, and economics especially. No prior knowledge in programming is required. Students are expected to create a personal final project. The course will examine in depth the programming fundamentals.

Aim of the course

The aim of the course is to learn essential programming skills and get hands-on experience by solving real-life problems. The course aims the need for leaders to understand the principles of IT products’ development for effective decision making.

Learning outcomes

• To be able to process information and operate at multiple levels of abstraction;
• To be able to decompose IT problems into parts and solve them efficiently;
• To be able to demonstrate proficiency in a software development environment;
• To be able to assess the correctness, design, and style of code;
• To be able to evaluate the project’s complexity and estimate required resources.

Annotation

This course is the basic macroeconomics course. During it main topics of macroeconomics will be covered. In lectures and seminars students will learn about economic indicators, goods, financial and labour markets, aggregate demand and supply, economic growth, open economy and exchange rate mechanisms, financial and monetary policy. Students in the course not only will learn Macroeconomic concepts and analyze theoretical Macroeconomic models but also will try to solve practical macroeconomics problems in Lithuania and EU.

Aim of the course

This is a course in intermediate macroeconomics, designated for students with knowledge in basic economics. Its objective is to present theoretical knowledge and practical skills required for studying the overall economic structure of a country. Students will know how to analyze the most important macroeconomic phenomena, and the impact of governmental macroeconomic policies on participants in the economy. This course trains skills in comprehension and analysis of macroeconomics policies.

Learning outcomes

• Understand the main theories in macroeconomics.
• Analyze and model macroeconomic phenomena.
• Evaluate governmental fiscal and monetary policy.
• Graphically model macroeconomic situations.
• Relate real economic experiences to theory.
• Identify economic situations at the national and global level.
• Develop researching skills.

Course annotation

This course provides an introduction to analysis of economic behavior. The ability to predict market outcomes is indispensable not only for a sound business strategy but also for a meaningful public policy. The main focus of the course is on optimal decision making, understanding determinants of demand and supply, market equilibrium, strategic behavior, and welfare analysis. Introduction to choice under uncertainty and the general equilibrium analysis is also covered.

Aims of the course

The course should teach an analytical approach to the functioning of the market mechanism, economic behavior of market participants, market environment impact on competition, and business strategies. Students should acquire the skills and the ability to apply microeconomic analysis and optimization methods to a large variety of economic problems.

Learning outcomes

• Understand the main theories in microeconomics.
• Analyze and model microeconomic phenomena.
• Evaluate governmental policy as it relates to microeconomics.
• Graphically model microeconomic situations.
• Relate real economic experiences to theory.
• Identify economic situations at the firm and personal level.
• Develop researching skills.

Annotation

This is an introductory course in finance. Course objective is to provide students with the basic knowledge in finance and to form the background for the further related studies. Course presents students with an overview of financial concepts, terminology, and principles, introduces to the financial management methods applicable to the personal and business practices (including SMEs and companies). Course covers basic financial theories, and their relevance to the financial management and investments. Introduction to finance course combines theory with practical examples, using case discussions and simulations.

Aim of the course

The course objective is to introduce students to the main elements, methods and principles of finance. It will provide basic knowledge and skills applicable to personal and managerial finance. Course starts with the general overview of finance, introduces to financial concepts, instruments, and techniques used in financial decision making. The first part of the course focuses on basic financial data, financial statements, cash flow, also main financial concepts as time value of money, risk and return, interest rates. The second part of the course deals with financial management.

Learning outcomes

• Explain financial system elements and their activities and functions via systemic approach.
• Explain and analyse saving and investing, financial assets, interest rate concepts and their importance in financial market.
• Analyze financial markets and their environment.
• Analyze financial planning process elements in household finance: personal financial life cycle, financial statements and ratios.
• Apply concepts of time value of money to solve various problems.
• Analyze goals of the firm and role of the financial manager in financial decision making.
• Prepare and explain financial statements: Balance sheet, Income statement, Cash flow statement. Evaluate proforma financial statements and budgets.
• Understand and evaluate relationships among financial decisions. Understand difference between short and long financing decisions.
• Work in teams, present work results in writing and oral presentation.

Course description

This course is a one-semester introduction to Public finance. Public finance is the branch of economics that focuses on the role of government in the economy. In this course we will study the role and the size of public sector, including the rationale for public sector existence (public goods, market failures) and government interventions (taxation policy, income redistribution).

Students will become acquainted with the theoretical foundations of how the government affects the economy, in addition to being exposed to a variety of empirical research. Students will gain experience in critical thinking and will learn about the theoretic basis of the economic arguments used by politicians.

Aims of the course

This course aims to introduce to students the main concepts of Public finance: the role of the state in the economy, public goods and market failures, policy of taxation and income redistribution. Attention is also given to fiscal policy issues.

Learning outcomes

• Analyze the concepts of public goods and market failures and their cures
• Apply various socio-economic models to the evaluation of the public policy questions
• Discuss the reasons for government intervention in the economy as well as different types of regulation
• Evaluate and compare different policies of taxation and income redistribution
• Analyze the issues in managing the  fiscal policy
• Learn the mechanics of sovereign and municipal bond markets.

Course description

This is an introductory course of statistical data analysis, designed for the students of the Economics and Politics program. The material covered in the course includes methods of data collection, analysis, presentation of results as well as the use of statistical data analysis software, SPSS®. The course encompasses methods of descriptive statistics, statistical estimates, data comparison hypothesis testing, correlation as well as regression analysis. During the laboratory sessions students will learn to use the statistical data analysis software, SPSS®, types of data, user tools, as well as procedures for data analysis and presentation. Statistical methods and SPSS® software will be applied to the analysis of concrete economic and political data.

Course aim

The goal of the course is to provide students with the theoretical knowledge and practical skills necessary for the analysis of economic and political data.  At the end of the course the students should be able to identify and apply the key methods of data analysis, carry out the analysis using specialized software, and to interpret the results.

Learning outcomes

• To understand the basic terminology used in statistics.
• To understand the basic principles of descriptive statistics.
• To understand the basic concepts of probability.
• To understand the basic principles of inferential statistics.
• To be able to utilize the correct statistical test based on sample, and hypothesis.
• To understand the difference between parametric and nonparametric tests.
• To be able to apply basic descriptive statistics to an available data base.
• To be able to apply the appropriate basic inferential statistics to the decision making process.
• To be able to make generalizations about a population based on a sample from that population.
• To be able to apply statistical techniques to evaluate basic business hypothesis.

Annotation

This is a practical course meant to provide students with opportunities to apply the acquired knowledge and skills in practice when dealing with real economic tasks. The students that go on internship in a business company master the practical aspects of organisational economics. The students that go on internship in state institutions get to know their functions and activities, including their importance in executing the national economic policy. When on internship, students deepen their understanding of the external and internal factors that influence the activities of business companies or state institutions. The students that go on internship in a business company prepare the company’s economic analysis report. The students that go on internship in a state institution prepare the country economic analysis report. Students shall submit their reports to the Studies Department by the deadline indicated in the internship schedule and shall present (defend) it in the class.

Aim of the module

The economic internship module is meant to help master different aspects of organisational economics or macroeconomics. During the internship students work in selected company. There are two ways of finding a company for an internship:

• place of internship is found by a student;
• ISM Career centre supports in finding an internship place.

Overall volume of internship is 15 credits (405 academic hours). Out of them:

1. 360 hours are internship in company;
2. 10 hours are in class activities;
3. 35 hours are student‘s self-study.

Learning outcomes

• To apply theoretical knowledge gained during studies in conducting company/country economic analysis.
• To demonstrate practical skills needed to perform practical tasks at the company.
• To demonstrate analytical skills in  identifying  potential problem in the company to be analysed in the Bachelor thesis.
• To demonstrate personal skills of time management, responsibility, and team work.
• To be able to communicate verbally and in written form in a business environment.

Annotation

This course introduces students to the interplay between political institutions and economic processes and outcomes.  The course consists of two parts.  In part one, students will learn the key theories of economic growth (Neoclassical, Endogenous Growth, Import Substitutions Industrialization), as well as the historical background of the attempts at economic development throughout the XX century.  In the second part of the course, students will learn about the consequences of key political institutions (regime type, voting rules, structure of interest group competition) for the implementation of economic policy, as well as for such economic indicators as the size of government, corruption, re-distribution and economic growth.  The main goal of the course is to provide theoretical knowledge and practical tools that are required for academic research of economic policy as well as for practical policy-related decision-making.

Aim of the course

This course unit aims to provide an understanding of theoretical and empirical issues, regarding decision-making in the matters of economic policy: redistribution, fiscal policy monetary and exchange rate policies, industrial policy and measures to prevent corruption.

Learning outcomes

• Analyze literature on Economic Growth, identify its theoretical assumptions and empirical predictions.
• Identify the effects of different policy-making institutions as agenda-setting tools of economic policy.
• Evaluate economic and political institutions in terms of their susceptability to corruption. Model optimal anticorruption measures.
• Explain rationale for interpersonal and intra-personal  redistribution of resources. Model the effect of political institutions on the level of redustribution.
• Model the economic effects of fiscal policy decisions and political motivations for the choice of fiscal policy.
• Model the economic effects of monetary policy decisions and political motivations for the choice of fiscal policy.
• Explain Exchange-rate policines of individual countries, as well as the formation and maintenance of common currency areas.
• Analyze industrial policy decisions under a variety of political institutional contexts.

Annotation

Managerial Economics course is the synthesis of economic theory and decision making in practice. Quantitative tools rather than intuition should be used when making important managerial decisions. Some mathematical techniques are used in this course, but understanding the logic of decisions is more emphasized. The key goal of this course is to equip students with the skills for analyzing data and understanding the outcome of such analytics for the purpose of making sound managerial decisions.

Aims of the Course

The Managerial Economics course is organized for bachelor students of economics. It aims to discuss central decision problems the managers face in a day to day business environment and to provide the tools of economic analysis for making these decisions. The course not only concentrates on economic analysis and its tools, but also puts emphasis on managerial decision-making process.

Learning outcomes:

• Elucidate on the characteristics, scope and techniques of managerial economics.
• Be able to explain the application of managerial economics in various aspects of decision making.
• Develop skills for strategic decision making.
• Acquire problem solving skills.
• Be able to make managerial decisions supported by quantitative methods.

Course description

Students learn to solve first and second order differential and difference equations and apply them in economic problem solving. The main attention of this course is focus on static and dynamic optimization techniques and their application in day-to-day problems and decision making of economics and management.

Aim of the course

This course aims to broaden the knowledge and skills in advanced mathematical analysis, which is usually applied in solution of various economic problems.

Learning outcomes

• To be acquainted with concepts and principles of advanced mathematical analysis.
• Be able to formulate, model, and solve static optimization problems.
• Be able to formulate, model, and solve dynamic optimization problems.
• Be able to analyze solved problems and make conclusions.
• Be able to convey information sequentially, logically, accurately and clearly, both in written and oral form.

Annotation

The course covers topics on limit, differential, and integral calculus as the basis for modelling of various phenomena in economics, management, and engineering.

Aims

This course aims to develop skills for mathematical modeling of basic economical, managerial, and engineering problems.

Learning outcomes

• Ability to operate the main concepts, laws, and techniques of differential and integral calculus.
• Ability to apply these concepts, laws and techniques in economical and managerial analysis and engineering.

Annotation

The contents of the Intermediate Macroeconomics course cover five main topics. It starts with the discussion on the main macroeconomic indicators. Then we have three topics based on different term perspectives. We start from the economy in a medium run (analyzing problems of open economy, inflation and unemployment). From that we turn to analysis of growth theory (economy in a long run) and after it we are studying Business cycle theories about economic fluctuations in a short run. The course finishes with the topic on macroeconomic policy and its debates.

Aim of the course

This is a course in intermediate macroeconomics, designated for students with knowledge in basic economics. Its objective is to present theoretical knowledge and practical skills required for studying the overall economic development of a country. Students will know how to analyze the most important macroeconomic phenomena from different aspects, and the impact of governmental macroeconomic policies on participants in the economy. This course trains skills in comprehension and analysis of macroeconomics policies.

Learning outcomes:

• Differentiate the main theories in macroeconomics.
• Relate economic problems with their time perspective.
• Consider the effectiveness of economic policies in different environment.
• Graphically model macroeconomic situations using appropriate macroeconomic theories.
• Discuss the main aspects of economic growth theories.
• Apply the concepts of aggregate demand and supply when analyzing economic situations.
• Apply the statements of classical theory when analyzing an economy in the Long run.
• Develop researching skills.

Summary

This is a practical course dealing with the mathematical models supporting decision making in various fields of social sciences and practical environment, i.e. management, economics, and politics. In particular, what-if analysis, forecasting, optimization, multi-criteria decision making and data analysis are dealt in the course. Computer spreadsheets are used all over the course.

Objectives

Objectives of the course include:

• to develop structural and algorithmic mindset in dealing with operational issues;
• to develop necessary skills for problem formulation, setting goals and parameters of the problem, choosing relevant model, translating it into the spreadsheet, and justifying alternative solutions of the problem;
• to develop skills of data analysis;
• to develop skills of using computer spreadsheets.

Learning outcomes

• To be able to develop a mathematical model for relevant problems in economics, finance, and business.
• To be able to select relevant methods for the analysis of mathematical models, to draw quantitatively justified conclusions and to choose the best alternative.
• To be able to analyze the mathematical model by means of the computer spreadsheet.
• To be able to analyze big arrays of data by means of the computer spreadsheet.

Annotation

Welfare economics is a branch of economics that focuses on the optimal allocation of resources and goods. This course integrates discussions relating economic theories to different notions of social justice and historical developments of welfare state. Welfare state theories and concepts are discussed during the course not only in terms of equity reasons but in efficiency terms also. The course introduces crucial debates about the borderline between state and market. Various aspects of welfare state are analysed with help of two broad questions: what are the aims of policy and by what methods those aims are best achieved? Each society faces questions related to scope of redistribution (of wealth, income, power etc. and how much of it should be there) and methods that are employed to organise economic activities (market, central planning, mixed economy) in order to achieve societal economic and social goals. Those two broad sets of questions are the main axis for discussions during the course. In order to enhance such discussions the course examines origins and dissemination of welfare state, two main social welfare traditions (Bismarckian and Beveridgean) as well as comparative welfare state typologies (liberal, conservative and social-democratic). Basic principles of social insurance, role of private and public sector in social insurance provision are covered during the course. The course examines in detail retirement pensions and their financing mechanisms (pay as you go and funded), social assistance principles, its organisational aspects and main types of benefits. Special attention during the course is paid to income inequality, poverty and social exclusion, their measurement methods. International aspects of social security regulation are also discussed.

Aim of the course

Aim of this course is to enable students to develop a basic understanding of main topics in the economics of welfare state in democratic market economies. Students are expected to be able to define central concepts and apply these in basic discussions about the role of the state and the individual in provision of welfare (in terms of efficiency, social justice and equality) and some of the major issues in the design and financing of welfare state provisions. Moreover it is important for the students to be able to apply concepts and theories to practical policy debates both domestic and global.

Learning outcomes

• Analyse and discuss main features and failures of market economy and public policies.
• Compare and discuss arguments utilised in favor/against state intervention in different schools of economic thought.
• Apply basic concepts, terminology and organisational principles of welfare.
• Evaluate and compare different methods of welfare financing.
• Overview and compare structure of welfare state and social security in particular in different countries.
• Compare and discuss relationship of economic and social policies.
• Compare and discuss welfare state theoretical models and analyse real welfare systems.
• Analyse and compare different welfare provisions among countries: retirement pensions, health care, social assistance systems.
• Analyse and discuss main principles of measuring income inequality, poverty and social exclusion.
• Overview international aspects of welfare/social security regulation.
• Work in teams, present work results both in writing and orally, provide argumentation.

Annotation

This course will explore the history of economic thought ranging from Plato to the modern day. In the lectures we will examine the most important and influential thinkers of their time, while also including the historical context that influenced the ideas presented. The course will not strictly follow a chronological evolution of the theory, but instead is designed in a way to capture the evolution of economic thought: the arguments, debates, agreements, and disagreements.

Aim

The History of Economic Theories course aims to equip students with the historical knowledge of history’s most influential economic ideas in order to promote argumentative skills, critical thinking, and a deeper understanding behind the evolution of modern economic thought.

Learning outcomes

• Understand the basic theories from the history of economic thought and apply it to modern economic thinking.
• Identify the historical context of the current trends in economic theories.
• Construct and organize arguments in the context of the history of economic thought.
• Be able to analyze and compare different arguments with regards to economic theories.

Annotation

This course will explore the history of economic thought ranging from Plato to the modern day. In the lectures we will examine the most important and influential thinkers of their time, while also including the historical context that influenced the ideas presented. The course will not strictly follow a chronological evolution of the theory, but instead is designed in a way to capture the evolution of economic thought: the arguments, debates, agreements, and disagreements.

Aim

The History of Economic Theories course aims to equip students with the historical knowledge of history’s most influential economic ideas in order to promote argumentative skills, critical thinking, and a deeper understanding behind the evolution of modern economic thought.

Learning outcomes

• Understand the basic theories from the history of economic thought and apply it to modern economic thinking.
• Identify the historical context of the current trends in economic theories.
• Construct and organize arguments in the context of the history of economic thought.
• Be able to analyze and compare different arguments with regards to economic theories.

Course annotation

This course is intended to provide a comprehensive introduction to forecasting methods with an emphasis on application of statistical techniques to analysis and prediction of economic time series. Various relevant topics will be covered, such as: simple and multiple regression, basics of statistical hypothesis testing, model building and evaluation, criterions of forecast accuracy, autoregressive model, testing for stationarity of time series, testing for Granger causality by classical (1969) and Toda-Yamamoto (1995) methods, time series decomposition, seasonality and trend, exponential smoothing, autoregressive integrated moving average (ARIMA) model, Hyndman-Khandakar (2008) method for choosing ARIMA model order, time series intervention analysis by ARIMAX model. Practical examples having real-world relevance will be provided and students will be involved with hands-on experience of modelling and forecasting. Assignments will be solved using R packages and GRETL, but other econometrical software can also be used (for example: Excel, EasyReg, Statgraphics, RATS, GAUSS, JMulTi, SPSS Trends, S-Plus FinMetrics, Stata, Matlab, E-Views, SCA, SAS, OxMetrics).

Aim

The course is aimed at the students who need to have a basic knowledge of methods for time series analysis and obtain practical skills of forecasting, with a focus on economic applications.

Learning outcomes

• Apply various quantitative methods for economic forecasting.
• Construct econometric models and describe their structure.
• Evaluate accuracy of the forecast and be able to communicate forecasting results.
• Distinguish between short-term and long-term forecasting.
• Apply econometric software packages to produce forecasts and forecast confidence intervals.

Course description

This is an introductory course of basic micro- and macroeconomic concepts, as well as of fundamentals of management theory. Topics include supply and demand theories, market structures/ factors, the determinants of business strategy and various aspects business organization. The course will have a focus on international economics and global business behavior. It will stress on preparing students for a successful career, using economic and business concepts in a market oriented society. It shall also serve as a foundation upon which students can build advanced studies in economics.

Course aim

The objective of Principles of Economics for Business and Management syllabus is to provide students with a basic understanding of how the economy as a whole works. The participants shall be exposed to basic economic concepts, in order to gain a framework for viewing and interpreting the economic and business world around them. This course acts as prerequisite for the Microeconomic and Macroeconomic courses.

Learning outcomes

• Define and explain how basic concepts of microeconomics (such as elasticity, scarcity or choice) can be used to explain the behaviour of individuals, household or firms.
• Represent supply and demand, in graphical form, including the downward/upward slope of the curves and what shifts/moves along the curves.
• To understand the importance of market structures, on the question of the stability and failure of markets.
• Describe and explain how basic macroeconomic policies (such as fiscal or monetary) can be used to analyse the economy as a whole.
• Explain basic management, business and marketing principles to be able to continue studies on a higher level.
• To understand the role of PESTLE factors on the SWOT of corporations, in the domestic and the international business environment.

Annotation

This is an introductory course to econometrics with emphasis on its applications. During the lectures and practical exercises the main focus will be on helping students to learn modern methods of empirical analysis and their practical application using an appropriate software (mainly GRETL) to the real world data sets. The main topics cover regression analysis including an introduction to panel data regression (fixed effects model), binary response models (linear probability, logit, and probit models), introduction to time series, and simultaneous equations. Students are taught how to build a suitable econometric model, understand the strengths and limitations of empirical methods, correctly interpret results and draw valid conclusions.

Aim of the course

The aim of the course is to introduce main empirical methods of economic data analysis and to provide their theoretical foundations.

Learning outcomes

• Understand and apply fundamental econometric methods, basic concepts of data analysis: descriptive statistics, hypothesis testing, confidence intervals.
• Analyze and evaluate linear regression model: main assumptions, features and applications,  develop abilities to choose suitable analytical tools.
• Understand the concept of non-linear analysis: main assumptions and features and be able to use suitable software, interpret regression results, build econometric models.
• Understand and apply linear probability model, logit model, probit model and its applications, be able to interpret regression results, build econometric models.
• Understand and apply time series regression: main models, basic assumptions of modeling and their violations, be able to interpret regression results, build econometric models.
• Understand the concept of panel data analysis, be able to interpret regression results, build econometric models.
• Understand and apply simultaneous equations: main assumptions, features, use data analysis results to make and to found sound economic or managerial decisions.

Annotation

Course covers introduction to linear systems, matrix algebra, linear programming, graph theory, introduction to probabilities, game theory, and various applications.

Aims

This course aims to develop skills for mathematical modeling of basic social and economical phenomena.

Learning outcomes

• Ability to operate the main concepts, laws, and techniques of finite mathematics.
• Ability to apply these concepts, laws and techniques in modelling economical social phenomena.

A bachelor’s thesis is an independent thesis that recapitulates and broadens the knowledge, skills and abilities gained during studies and validates the awarded bachelor’s degree in economics. In terms of the content and methods of analysis, the bachelor’s thesis directly and indirectly incorporates the subject matter of various disciplines into a single whole.

It is expedient to analyse relevant macroeconomic issues and issues of financial markets and institutions in the bachelor’s thesis. After choosing economic issues relevant to a company for analysis, it is recommended to carry out economic assessment of companies to justify their manufacturing or investment decisions. It is appropriate to analyse the optimisation problems of company activities.

The bachelor’s thesis is written in the eighth semester of studies; 15 ECTS credits are allocated to the thesis. The thesis can be written in either Lithuanian or English.

Learning outcomes

• Identify problematic questions encountered in fields related to Microeconomics, Macroeconomics, Financial Market and Financial Institutions and propose action plans to solve them.
• Propose adequate methods to overcome research obstacles encountered with well justified reasons for methodology choices.
• Interpret research problem results and provide suggestions in a broader context by taking into account business, social and economics aspects.
• Express research findings in a compact form by highlighting the most important aspects without losing generality of results.
• Properly plan implementation and execution of a large scale research project.
• Highlight relevant research findings in an official presentation followed by a Q&A session.

Dalyko anotacija

Akademiniai darbai ir darbų pristatymas priklauso mokslo darbų sričiai, todėl turi atitikti bendruosius tokio tipo darbų reikalavimus tiek struktūros, pristatymo ir įforminimo, tiek turinio atžvilgiu. Kokybiški akademiniai darbai rašomi ir pristatomi moksliniu stiliumi, taisyklinga, aiškia ir tikslia lietuvių kalba. Akademinio rašymo ir prezentacijų kurse aptariama akademinių darbų struktūra (įvadas, dėstomoji dalis, išvados), mokslinio teksto struktūra. Studentai mokosi analizuoti mokslinį tekstą ir pristatymus, juos redaguoti ir tikslinti, įsisąmonina normas, ir mokosi kurti savo individualų mokslinį tekstą, juos įforminti pagal bendruosius darbų reikalavimus, įvertinti teksto kokybę ir išsakyti ir pagrįsti savo nuomonę. Aptariamos mokslinio stiliaus stilistinės ypatybės: abstraktumas, tikslumas, objektyvumas, logiškumas, jų lingvistiniai požymiai ir raiška tekste ir žodinėje prezentacijoje.

Darbo tikslas

Kurso tikslas – įgyti žinių apie akademinių darbų struktūrą, svarbiausias mokslinio stiliaus ir rašymo ypatybes, specifines mokslinio stiliaus raiškos priemones ir tų darbų įforminimą, žodinį pateikimą, tobulinti įgūdžius kuriant individualų mokslinį tekstą, jį tinkamai įforminti ir pristatyti.

Dalyko studijų siekiniai

• Gebėti struktūruoti akademinio darbo tekstą;
• Gebėti kurti logišką pastraipų seką teigdami, aiškindami ir apibendrindami turimą ir naują informaciją;
• Gebėti tinkamai cituoti ir atpasakoti kitų autorių mintis tekste;
• Gebėti laikytis bendrinės kalbos ir mokslinio stiliaus normų;
• Gebėti tinkamai įforminti akademinius darbus pagal jiems taikomus bendruosius reikalavimus;
• Gebėti savarankiškai analizuoti savo pristatymus bei parengti tikslingą pristatymą, gebėti argumentuoti priimtus sprendimus; pristatyti savo darbo rezultatus raštu ir žodžiu;
• Gebėti dirbti individualiai ir komandoje.