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Course title: QUANTITATIVE METHODS FOR SCIENTIFIC RESEARCH
Teacher/-s: Milan Tuba, Dejan Zivkovic
Course status: Compuslory
ECTS credits: 10
Prerequisite: /
Course objectives
Introduction to the relevant quantitative methods applied in management, operations research,
econometrics and computer science,
Introduction to statistical methods for data collection and analysis,
Introduction to optimization methods for decision-making in problem solving,
Application of quantitative methods using Excel and SPSS computing packages.
Course outcomes
After the successful completion of the course, students will:
comprehensively understand all quantitative methods used in their research field
be able to plan, implement and analyze the results of a typical project of solving problems from their
domain of interest using a quantitative methodology.
Course contents
Probability theory: random events, Bayes' formula, probability distribution, random variables. Descriptive and
analytical statistics. Basic sampling methods. Statistical estimation of parameters of random variables. Testing the
hypothesis. Regression analysis. An error score collected by the minimum of the square. Linear and integer
programming. Transport problems. Network flow problems.
Recommended literature
1) C. Moss, Mathematical Statistics for Applied Econometrics, Chapman and Hall/CRC, 2014.
2) K. Rajagopal, Operations research, PHI Learning, 2013.
3) S. Coakes, C. Ong, SPSS Version 18.0 for Windows: Analysis without Anguish, Wiley Publications,
2015.
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, project assignments, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40 Total: 50 Total: 50
Course title: ADVANCED FINANCIAL REPORTING
Teacher/-s: Goranka Knežević, Vule Mizdraković, Predrag Vukadinović
Course status: Elective
ECTS credits: 10
Prerequisite: /
Course objectives
Students will gain a deeper understanding of contemporary issues concering international financial
reporting regime;
Students will discuss and give a critical overwiew of the role of financial reporting regulation (IFRS,
IFRS for SMSs, US GAAP) and EU Directive in different jurisdictions;
Students will be introduced with new trends in corporate reporting such as integrated reporting and corporate social sustainability reporting;
Students will analyse recent developments in IFRS regime (IFRS 15 Revenue, IFRS 16 Leases, IFRS 9 Financial instruments).
Course outcomes
Students will grasp the significance of factors that influence financial regulation development;
Students will obtain practical knowledge and skills for the critical analysis of financial reporting after
the global crisis in the domain of IFRS, US GAAP and EU Directives;
Students will be able to identify, based on reading and case studies, interdependences between financial
and non-financial reporting;
Students will gain a deeper understanding of effects of non-financial and financial reporting on
information asymmetry in financial markets and to critically evaluate how to reduce this asymmetry.
Course contents
Preparation and presentation of financial statements in accordance with the different financial reporting regime
(IFRS or US GAAP); Requirements of EU Directives in the area of reporting, Presentation of International
Integrated Reporting Framework and trends in Corporate Social Responsibility reporting using GRI4 Guidelines and Sustainability Accounting Standards; Environmental accounting issues; Financial instruments accounting and
Business combinations, Corporations in financial difficulties.
Recommended literature
1) Christensen T., Cotrell, D., Budd, C. (2019). Advanced Financial Accounting, 12e, McGraw Hill
Publishing.
2) Baldarelli, M.G., Del Baldo, M., Nesheva-Kiosseva, N. (2017) Environmental accounting and reporting,
Springer.
3) Hoyle, J.B., Schaefer, T. Doupnik, T. (2017) Fundamentals of Advanced Accounting, McGraw Hill
Publishing.
4) Gruber, S. (2015) Intangible values in Financial accounting and Reporting, Springer
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case studies, project assignments, final exam.
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: MONEY, BANKING AND FINANCIAL MARKETS
Teacher/-s: Tijana Radojević, Lidija Barjaktarović, Miroljub Hadžić
Course status: Elective
ECTS credits: 10
Prerequisite: / Course objectives
Students should obtain knowledge in the field of finance, banking and financial markets, through
examining the basic and advanced categories and principles of finance and banking
Course outcomes
Students should gain knowledge in the field of finance and banking, which will serve as the basis for
further research in the field.
Course contents
This course examines the following topics:
Overview of Financial System: participants, markets, instruments, products traded, the role of money, banking operations, stock market operations, contemporary financial market trends; Banks, central bank and monetary
policy; Foreign exchange and derivatives market; Hedging as an instrument for risk management; Hedging and
speculation; Securities operations, global market trends, the analysis of stock market in Serbia; Contemporary
concepts of managing financial institutions- asset and liability management, risk management and customer
relationship management; Contemporary trends in international finance; Mergers and acquisitions; The influence
of the world economic crisis on the financial sector in Serbia
Recommended literature
1) Pilbeam, K. (2018) Finance and Financial Markets, Red Globe Press
2) Mishkin, F., Eakin, S. (2017) Financial Markets and Institutions,Pearson: United Kingdom
3) Mishkin, F. (2016) The economics of money, banking and financial markets, Pearson Education
Limited, Harlow, England 4) Kidwell, D., Blackwell, D., Whidbee, D., Sias, R. (2016) Financial Institutions, Markets, and Money,
Wiley: Hoboken, New Jersey
5) Fabozzi, F. (2015) Capital Markets: Institutions, Instruments and Risk Management, The MIT Press
6) Valdez, S., Molyneux, P. (2015) An Introduction to Global Financial Markets, Red Globe Press
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case study, project assignment, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: RESEARCH PAPER 1
Teacher/-s: Chosen teacher
Course status: Compulsory
ECTS credits: 10
Prerequisite: The first semester courses – which have been successfully completed
Course objectives
Reasearch paper 1 is the first significant examination and verification statement on the doctoral studies that the
candidate conducts in consultation with the mentor. Reasearch paper 1 includes work on projects that include
practical problems and should finalize part of the knowledge from previously mastered subjects: DSP PE 01 and
DSP PE 02-1 i.e. DSP PE 02-2. Through research work, the candidate's ability to independently analyze more
complex problems is evaluated.
Course Outcomes
By conducting this research work, the candidate learns how to formulate and process a scientific research
problem, bearing in mind the general theoretical and methodological frameworks of scientific research work. The
candidate is qualified for the:
application of acquired knowledge in solving real problems,
independent research work in the respective field of education,
discussion and presentation of the results of their work.
Course Content
Reasearch paper 1 is independent work of the candidate coordinated by his/her mentor. The mentor helps the
candidate during the entire process of writing by:
selecting the topic of the paper,
formulating the content,
setting the goal, the topic and the methods applied
choosing the most appropriate scientific method of processing, collecting, analysing and verifying the
data
participating in final design of research work/paper
The candidate becomes acquainted with the methodology of work on scientific-research projects. This research
paper proves that the candidate has mastered the theoretical settings of the research, theoretical knowledge in the
field and that he/she has successfully completed a research process by being able to:
identify the problems
process theoretical problem
plan, organize and carry out research
write the actual paper
After conducting the research, the candidate prepares the study research paper in a form containing the following
chapters: Introduction; Theoretical part; Research section, Results and discussion; Conclusion; Review of
literature.
Recommended literature
Singidunum University library
Group of authors, Available scientific journals.
Group of authors, Available literature for the scientific field from which the study-research work is.
Active teaching hours (total): 10 Theory: Practice/Independent/Supervised Work: 10
Applicable Teaching Methods:
Candidate independent research work.
Grading Scheme (max. 100 points)
Research work presentation, oral exam.
Course title: CONTEMPORARY FINANCING THEORIES
Teacher/-s: Miroljub Hadžić, Zoran Jeremić, Nikola Stefanović
Course status: Compulsory
ECTS credits: 8
Prerequisite: / Course objectives:
The students should obtain knowledge regarding the contemporary theories and practice of finance, financial
management, national and international banking and national and international financial markets
Course outcomes:
The students should be able to work in the field of strategic financial management, financial planning and
financial analysis, working capital management, equity investment management, medium-term and long-term financing
Course contents:
Contemporary methods of financial analysis; Financial planning; Working capital management; Capital asset and
financial management; Study cases discussion.
Recommended literature:
1) BD Jordan, TW Miller, SD Dolvin, (2015) Fundamentals of investments: valuation and
management
2) RA DeFusco, DW McLeavey, JE Pinto, MJP Anson, (2015) Quantitative investment analysis
3) LJ Gitman, R Juchau, J Flanagan, (2015) Principles of managerial finance
4) SL Britt, KL Archuleta, BT Klontz, (2015) Theories, models, and integration in financial therapy
5) R Kanbur, JE Stiglitz, (2015) Wealth and income distribution: New theories needed for a new era
6) T Piketty, American Economic Review, (2015) About capital in the twenty-first century
7) S Fraser, SK Bhaumik, M Wright, Small Business Journal, (2015) What do we know about
entrepreneurial finance and its relationship with growth?
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case study, project assignment, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: BUSINESS MODELS IN A DIGITAL ENVIRONMENT
Teacher/-s: Tijana Radojević, Marko Šarac
Course status: Compulsory
ECTS credits: 8
Prerequisite: /
Course objectives
Acquiring knowledge about the basic principles of business system based on the application of technologies in
the digital environment, in accordance with the expected business needs and conditions of the global economy.
Students are able to acquire knowledge from business concepts in digital environment, applications and
technology. Students will be trained to independently implement and deploy modern business model services in a
digital environment.
Course outcomes
Possessing the ability to understand the basic concepts, elements and business models in the digital environment through applications in various business domains such as: electronic commerce, banking, accounting, auditing,
education, public administration.
Course contents
Overview of business models in a digital environment. Internet Web and mobile platforms as the basis for
business in a digital environment. Building, setting up and maintaining a business support system, content
management and two-way communication with consumers. Advance software systems in digital environment.
Optimizing and transforming business functions using modern solutions. Business Intelligent Systems. Security
and protection of business systems. The impact of the digital environment on the stakeholders. Formulating and
applying critical factors for successful business, measuring the impact of the digital environment on business and
making strategic decisions. Use of modern software tools for applying business models in a digital environment.
Recommended literature
1) Oswald, G., Kleinemeier, M. (2017) Shaping the Digital Enterprise: Trends and Use Cases in Digital
Innovation and Transformation, Springer International Publishing 2) Tesch, J. (2019) Business Model Innovation in the Era of the Internet of Things: Studies on the Aspects
of Evaluation, Decision Making and Tooling, Springer International Publishing
3) Hjalmarsson, A., Juell-Skielse, G., Johannesson, P. (2017) Open Digital Innovation: A Contest Driven
Approach, Springer International Publishing
4) Schallmo, D., Williams, C. (2018) Digital Transformation Now: Guiding the Successful Digitalization of
Your Business Model, Springer International Publishing
5) Tesch, J., Brillinger, A., Bilgeri, D. (2017) Internet of Things Business Model Innovation and the Stage
Gate Process: An Exploratory Analysis, International Journal of Innovation Management , Vol. 21, No.
5
6) Eisert, U., Doll, J. (2015) Business Model Based Management: Bridging the Gap between Strategy and
Daily Business. 360° - the Business Transformation Journal. No.14
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case studies, project assignments, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: ACCOUNTING ANALYSIS
Teacher/-s: Goranka Knežević, Predrag Vukadinović, Nemanja Stanišić
Course status: Elective
ECTS credits: 10
Prerequisite: /
Course objectives
Doctoral students will critically evaluate corporate efficiency, profitability, liquidity and risks of
indebteness by the usage of traditional ratio analysis;
Doctoral students will gain deeper understanding of qualitative analysis of industry, competition and
business model which affects corporate value creation;
Doctoral students will be able to quantify corporate business performance by the usage of contemporary
performance measurement models;
Doctoral students will gain an understanding of value drivers such as innovation, corporate agility and
human capital from accounting and analytical perspective.
Course outcomes
Doctoral students will be able through thought-provoking discussions to gain an understanding of the
evolution of performance measurement models from traditional to contemporary, from focusing
financial to focusing non-financial performance measures;
Doctoral students will obtain practical knowledge and skills for the implementation of contemporay
performance measurement models (Business excellence model, Balanced Scorecard, Performance
Pyramid etc.)
Doctoral students will be able to practically implement predictive and analytical models and to estimate
the value of business and business drivers
Course contents
Short overview of IFRS and US GAAP professional regulation and its impact on financial statements and traditional ratio analysis, Benchmarking performance and competitive analysis, development of predictive and
analytical models for business valuation, Business performance management, Dashboards and key performance
indicators, contemporary performance measurement systems (Business excellence model, Balanced Scorecard
model, Performance Pyramid etc.)
Recommended literature
1) Young, D., Cohen, J., Bens, D.A. (2018) Corporate Financial Reporting and Analysis: A global
perspective, 4edition, New York, Wiley.
2) Alexander, J. (2018) Financial planning &analysis and Performance Management, New York, Wiley.
3) Holland, D. A., Matthews, B.A. (2017) Beyond Earnings: Applying the HOLT CFROI and Economic
Profit Framework, New York, Wiley.
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case studies, project assignments, final exam
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: ECONOMETRIC MODELLING
Teacher/-s: Nemanja Stanišić, Biljana Radičić
Course status: Elective
ECTS credits: 10
Prerequisite: /
Course objectives
The objective of the course is to make students familiar with econometric concepts and the related methods that
are used in contemporary empirical research.
Course outcomes
At the end of the course, students will be able to collect and pre-process empirical data appropriate for tackling
their research questions, choose a quantitative method that suites the goals of their research, implement the
method using specialized statistical/econometrical software, present and correctly interpret the output obtained
from the method, and acknowledge the method’s key limitations.
Course contents Principles of econometric analysis; Principles of data visualization and presentation; Types of variable
distributions; Variable preprocessing; Best practice in presenting output from econometric models. Analysis of
panel data (Hierarchical models, Generalized method of moments [GMM] estimators); Time series modeling
(Stationary processes, Autoregressive processes, Processes modeled using moving average [MA], Autoregressive
moving average [ARMA] models, Autoregressive integrated moving average [ARIMA] models, Autoregressive
conditional heteroscedasticity [ARCH] models, Generalized autoregressive conditional heteroscedasticity
[GARCH] models, Cointegration analysis); Nonparametric methods (locally estimated scatterplot smoothing
[LOESS], Locally weighted scatterplot smoothing [LOWESS], Splines, Penalized Splines); Copulas; Monte
Carlo Markov Chains (MCMC).
Recommended literature
1) Croissant, Y., & Millo, G. (2018). Panel Data Econometrics with R. John Wiley & Sons.
2) Stoffer, D. S., & Shumway, R. H. (2017). Time series analysis and its applications: With R examples. 3) Moore, D. S., McCabe, G. P., Duckworth, W. M., & Sclove, S. L. (2016). The practice of business
statistics. New York, NY: Freeman.
4) Newbold, P., Carlson, W., & Thorne, B. (2012). Statistics for business and economics. Pearson.
5) Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2016). Statistics for
business & economics. Nelson Education.
6) Özdemir, D., & Özdemir. (2016). Applied statistics for economics and business. Springer.
7) McElreath, R. (2016). Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Vol.
122). CRC Press.
8) Finch, W. H., Bolin, J. E., & Kelley, K. (2016). Multilevel modeling using R. Crc Press.
9) Ruppert, D., & Matteson, D. S. (2015). Statistics and Data Analysis for Financial Engineering. (R.
DeVeaux, S. E. Fienberg, & I. Olkin, Eds.) (2nd ed., Vol. 102). New York, NY: Springer New York.
http://doi.org/10.1007/978-1-4939-2614-5
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods: Lectures, consultations, project assignments, final exam.
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: RESEARCH PAPER 2
Teacher/-s: Chosen teacher
Course status: Compulsory
ECTS credits: 4
Prerequisite: The second semester courses – which have been successfully completed
Course objectives
Research paper 2 is the act of examining the candidate at the level of doctoral studies and the second important
verification of their work guided by the mentor. Research paper 2 is project work that encompasses practical
problems that should include the knowledge from previously mastered courses Contemporary financing theories,
Business models in a digital environment and the elective course Accounting analysis or Econometric modelling.
This research paper serves the purpose to prove the autonomy of the candidate in performing a more complex and
comprehensive analysis of a problem.
Course Outcomes By conducting research, the candidate is able to learn, formulate and process a scientific research problem,
respecting the general theoretical methodological frameworks of scientific research. The candidate is qualified for
the:
the application of the acquired knowledge in solving real problems;
independent research in the domain of the studies he\she attends;
presentation of the results of their work;
Course Content
The work on Research paper 2 is independent, practical work of the candidate guided by the mentor who leads
the candidate through the whole process, i.e.:
the topic selection;
formulating the content and structure of the paper,
defining methodology (objectives, subject matter and methods),
selection of the way of problem processing, the collection of relevant data, the data processing, the
data analysis and the verification of research hypotheses,
final design of research paper.
Research paper 2 serves the purpose to acquaint the candidate with the methodology of working on scientific-
research projects. It proves that the candidate has mastered the theoretical knowledge of the research, theoretical
knowledge in the field in which he/she is engaged and successfully completed the research process through
problem detection, theoretical problem processing, research part through the plan of realization and organization
of research and final written process.
After conducting the research, the student prepares the final paper in the form that usually consists of the
following chapters: introduction, theoretical-methodological framework, analysis, results and discussion,
conclusion and literature review.
Recommended literature
Singidunum University library
Group of authors, Available scientific journals.
Group of authors, Available literature for the scientific field from which the study-research work is.
Active teaching hours (total): 5 Theory: Practice/Active independent/supervised
work: 5
Applicable Teaching Methods:
Candidate independent research work.
Grading Scheme (max. 100 points)
Research work presentation, oral exam.
Course title: CONTEMPORARY INVESTMENT THEORIES
Teacher/-s: Nikola Stakić, Zoran Jeremić
Course status: Compulsory
ECTS credits: 8
Prerequisite: /
Course objectives
Acquiring knowledge on the basic theories and strategies of investing in different financial instruments,
currencies and crypto currencies, real estate and other assets, with the focus on the changes that bring into the
investment the rapid development of technologies.
Course outcomes
The ability to apply modern investment theory in an environment that is rapidly changing.
Course contents
Investment theories and strategies; Application of fundamental and technical analysis; Application of behavioral
theories in investing; Analysis of securities on the Belgrade Stock Exchange and foreign stock exchanges; Investing in technology companies, investing in currencies and crypto currencies. Working with students through
a case study analysis.
Recommended literature
1) Bodie, Z., Kane, A., Marcus, A. (2018) Investments, Mc Graw Hill, 11 еdition
2) Smart, S., Gitman, L., Joehnk, M. (2016) Fundamentals of Investing, Pearson; 13 edition
3) Zhonga, X., Enkeb, D. (2017) Forecasting daily stock market return using dimensionality reduction,
Expert Systems with Applications, 67, pp.126-139
4) Hamilton, J., Wu, J. (2015) Effects of index fund investing on commodity futures prices, International
Economic Review, 56 (1), pp. 187-205
5) The future of financial services, World economic Forum, June 2015
6) The future of capital markets in digital economy, ASIC, 2015. 7) Fintech reloaded - Traditional banks as digital economy, Deutsche bank research, 2015.
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case study, project assignment, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: CONTEMPORARY TRENDS IN THE GLOBAL ECONOMY
Teacher/-s: Sanja Filipović, Stevan Rapaić
Course status: Compulsory
ECTS credits: 8
Prerequisite: /
Course objectives
The objective of the course is to provide students with theoretical knowledge in the field of international
economics, with special emphasis on current developments in international trade and international movements of
capital. In addition to examining the basic concepts related to global economics and economic policies, the
objective of the course is to familiarize students with the most important world economic systems, the
functioning of international economic institutions, and the purpose and the tendency of regional economic
integrations.
Course outcomes The main outcome of the course is to train students for a correct and quality analysis of contemporary trends in
the global economy, in order to prepare students for further study and scientific research in the field of
international economics. The course allows students to understand contemporary phenomena in the global
economy and competently interpret them.
Course contents
Globalization and trans-nationalization of the world economy; theories of international trade; current problems
and challenges in the international economy; economic growth and international trade; foreign trade policy and
the World Trade Organization; customs, non-tariff barriers and new protectionism; economic integration, customs
and free trade zones; international movement of capital; foreign direct investment and economic development of
the host country; international monetary system; systemic changes in the global economy; China as a new leader
in the world economy; Serbia in international trade. Work with students through the analysis of case studies,
foreign trade policies, macroeconomic trends, the functioning of international organizations and other multilateral institutions that affect the world's flows of economy and capital.
Recommended literature
1) Salvatore, D., 2016, International Economics, 12th Edition, John Wiley and Sons, Hoboken, NJ.
2) Arvis, J.F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K. and Kiiski, T.,
2018. Connecting to Compete 2018: Trade Logistics in the Global Economy. World Bank.
3) Varoufakis, Y., 2015. The global minotaur: America, Europe and the future of the global economy. Zed
Books Ltd..
4) Forsgren, M., 2017. Theories of the multinational firm: A multidimensional creature in the global
economy. Edward Elgar Publishing.
5) Yeung, H.W.C., 2016. Strategic coupling: East Asian industrial transformation in the new global
economy. Cornell University Press.
6) Smith, R., El-Anis, I. and Farrands, C., 2017. International political economy in the 21st century:
Contemporary issues and analyses. Routledge. 7) Matsushita, M., Schoenbaum, T.J., Mavroidis, P.C. and Hahn, M., 2015. The World Trade Organization:
law, practice, and policy. Oxford University Press.
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case study, project assignments, presentations, consultations
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam
Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: ACCOUNTING FOR STRATEGIC DECISION MAKING
Teacher/-s: Vule Mizdraković, Goranka Knežević
Course status: Elective
ECTS credits: 10
Prerequisite: /
Course objectives
To examine and apply management accounting within a coherent theoretical framework
To deliberate upon traditional and contemporary management accounting techniques in multi product
business environment and service environment
To critically evaluate performance measurement techniques to improve sustainability of value creating
activities in organization
To use contemporary research in the field of strategic management accounting
Course outcomes
Doctoral students will acquire understanding of stakeholders’ various decision-making needs and
provide adaptive management solutions
Doctoral students will be able to critically evaluate cost allocations in different business environment
(service, manufacturing and merchandising business) in order to grasp differences in cost drivers and
value drivers
Doctoral students will be able to use management accounting information in the process of creation of
competitive corporate strategies,
Doctoral students will be able to critically analyse management accounting techniques and to test
theoretical foundations of those techniques using results of reserach in this area
Course contents Information needs of strategic management; issues and limitations of conventional accounting; disadvantages of
external financial reporting and management accounting; strategic management on the basis of accounting
information. Cost behavior and allocation; profitability analysis and measurement of financial and non-financial
performance; anticipation of future performance, budgeting, practical implementation and critical overview of
following concepts: Balanced Scorecard, Kaizen Costing, Target Costing, Customer Profitability Analysis
Recommended literature:
1) Zimmerman, J. (2017) Accounting for Decision Making and Control. McGraw-Hill: New York
2) Weygandt, J., Kimmel, P. and Kieso, D. (2018) Managerial Accounting: Tools for Business Decision
Making. Wiley: New York.
3) Bamber, M. And Parry, S. (2018) Accounting and Finance for Managers: A Decision Making Approach.
Martin P Hill Consulting: London.
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case studies, project assignments, final exam
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam:
Attendanceand in-class: 10 Exam 50
Project assignment: 40 Total: 50 Total: 50
Course title: FINANCIAL ENGINEERING
Teacher/-s: Lidija Barjaktarović, Nikola Stakić
Course status: Elective
ECTS credits: 10
Prerequisite: /
Course objectives
Students should become conversant with quantitative techniques for the value assessment of financial instruments
and with the methods for the value assessment based on probability. They should also learn about most frequently
used techniques for credit risk assessment and the models for assessing financial derivatives.
Course outcomes
Upon the completion of the course, students shall:
obtain knowledge of contemporary methodology of assessing financial instruments
develop logical thinking skills in the field of assessing financial instruments that will be useful for solving the issues they might encounter
understand and be able to apply valuation techinques on most important types of financial derivatives
Course contents
Securitization - structure, forms, participants and instruments; Valuation of forward rate agreement (FRAs);
Evaluation of futures contracts with different types of underlying assets, Evaluation of European and American
type of options using a binomial model (one-node, two-nodes and more complex forms); Evaluating the option
using the BSM (Black-Scholes-Merton) model; Strategies for using options contract, valuation of foreign
exchange and interest swaps; The concept and forms of credit derivatives; Valuation of CDS (Credit Default
Swap) contract; Convertible, callable and puttable bonds; Exotic derivative products, Financial markets’
efficiency and its impact on valuation
Recommended literature
1) Boyle, P, & McDougall, J. (2019). Trading and pricing financial derivatives: A guide to futures, options
and swaps, Walter de Gruyter Inc
2) Gatti, S, & Caselli, S. (2017). Structured Finance: Techniques, Products and Market, 2nd Edition,
Springer
3) Buchanan, B. (2017). Securitization and the Global Economy: History and Prospects for the Future,
Palgrave Macmillan
4) Chan, B.K.C. (2017). Applied Probabilistic Calculus for Financial Engineering, John Wiley & Sons, Inc
Active teaching hours (total): 5 Theory: 5 Practice:
Applicable Teaching Methods:
Lectures, case studies, project assignments, final exam
Grading Scheme (max. 100 points)
Pre-exam Requirements Final exam Attendance and in-class activity 10 Exam 50
Project assignment 40
Total: 50 Total: 50
Course title: RESEARCH PROJECT
Teacher/-s: Chosen teacher
Course status: Compulsory
ECTS credits: 4
Prerequisite: The first, second and third semester courses – which have been successfully completed
Course objectives
The aim of Research project is to enable students to expand existing knowledge and to gain experience in solving
certain scientific and research problems from the selected field of research. Research project examines the
independence of the candidate to analyze complex problems based on the application of basic, theoretical and
methodological, scientific-professional and professional-applied knowledge and methods. Analysing literature
and applying scientific methods, research work allows creative solution of research tasks that can be applied in practice. The Research project is a continuation of the study research work from the second semester.
Course outcomes
By developing a research project, a student is going to be able to process a scientific research problem, respecting
the general theoretical methodological frameworks of scientific research work. The candidate is qualified for
independent research work, application of acquired knowledge and presentation of the results of his / her work.
Course Content
Research project is conducted independetly by a student and coordinated by the student and their mentor. The
mentor provides guidance to the student in his work and provides him with assistance in the entire process of
writing through the selection of a thesis topic, setting the goal, the subject of work, the methods and ways of solving it, the choice of a way of investigating a problem, and through the process of collecting, investigating,
analysing and verifying by using research methods and the final design of the research work. Within the
framework of the study research project, the student also consults other teachers who work in the field their thesis
deals with. Within the given topic, students conduct scientific research based on the application of scientific
methods. The practical part includes collecting data from primary and secondary sources and investigating data
using different quantitative methods. After conducting the research, candidates prepare their study research
project in the format containing the following chapters: Introduction; Theoretical part; Research part, Results and
discussion; Conclusion; Reference.
Recommended literature
1. Group of authors, Available scientific journals.
2. Group of authors, Available literature for the scientific fields from which the dissertation is.
Active teaching hours: 5 (total) Theory: Practice/Independent/Supervised Work: 5
Applicable Teaching Methods:
Candidate independent research work.
Grading Scheme (max. 100 points)
Pre-examination obligations involve the preparation of work (50 points) and the oral exam (50 points).
Course title: SCIENTIFIC-RESEARCH PROJECT WITH METHODOLOGY - ACCOUNTING AND
AUDITING
Teacher/-s: Goranka Knežević, Vule Mizdraković, Nemanja Stanišić, Predrag Vukadinović
Course status: Elective
ECTS credits: 30
Prerequisite: The first, second and third semester courses – which have been successfully completed
Course objectives
Acquiring practical knowledge and skills in the use of literature in the field of accounting and auditing, defining
the problems and goals of the scientific research project in the field of accounting and auditing and the
appropriate scientific methodology that will be used for its solving. Introducing students with basic methodological postulates, basic logical methods of research, methods and techniques for collecting, analyzing
and exploring scientific work in social sciences, as well as with the structure of scientific research and phases in
the scientific research process.
Course outcomes
Competence for independent scientific and research work in the field of accounting and auditing and application
of research results in concrete economic practice.
Course Content
Objectives and principles of the scientific methodology, goals and elements of the research project, methods and
techniques for data collection for the needs of the research project, presentation and analysis of research and case
studies in the field of accounting and auditing. Research formulation, data collection, data analysis, hypothesis proving.
Recommended literature
Singidunum University library
Group of authors, Available scientific journals.
Group of authors, Available literature for the scientific fields from which the dissertation is.
Active teaching/learning hours:
20 (total)
Theory: 5 Practice/Independent/Supervised Work: 15
Applicable Teaching Methods:
Candidate independent research work.
Grading Scheme (max. 100 points)
Presentation of study-research work, oral exam.
Course title: SCIENTIFIC-RESEARCH PROJECT WITH METHODOLOGY - FINANCE AND
BANKING
Teacher/-s: Miroljub Hadžić, Zoran Jeremić, Tijana Radojević, Lidija Barjaktarović, Nikola Stefanović, Nikola
Stakić, Stevan Rapaić
Course status: Elective
ECTS credits: 30
Prerequisite: The first, second and third semester courses – which have been successfully completed
Course objectives
Acquiring practical knowledge and skills for the use of literature in the field of finance and banking, defining the
problems and goals of the scientific and research project in the field of finance and banking and the appropriate
scientific methodology that will be used for its solving. Introducing students with basic methodological postulates, basic logical methods of research, methods and techniques for collecting, analyzing and exploring
scientific work in social sciences, as well as with the structure of scientific research and phases in the scientific
research process.
Course outcomes
Ability to use and critically review scientific literature, independently design and carry out scientific research in
the field of finance and banking as an applied economic science, as well as their application in economic practice.
Course Content
Objectives of the methodology of scientific research and its constituent parts and principles. Epistemological
basics of research in economics. Logical methods of research. Methods and techniques for the collection, analysis and explication of scientific material in finance and banking, as applied economic science, as well as the basic
phases in the scientific research process. Application of scientific methodology to a real problem in the field of
finance and banking.
Recommended literature
Singidunum University library
Group of authors, Available scientific journals.
Group of authors, Available literature for the scientific fields from which the dissertation is.
Active teaching/learning hours:
20 (total): 20
Theory: 5 Practice/Independent/Supervised Work: 15
Applicable Teaching Methods:
Candidate independent research work.
Grading Scheme (max. 100 points) Presentation of study-research work, oral exam.
Course title: DOCTORAL THESIS RESEARCH
Teacher/-s: Chosen teacher/supervisor
Course status: Compulsory
ECTS credits: 30
Prerequisite: All previous semesters courses which have been successfully completed
Course objectives
The aim of this course is to make students competent to apply basic, theoretical, methodological, scientific and
professional knowledge and methods for solving specific problems within the selected area of research. Within
doctoral thesis research, students are especially studying the problem, its structure and complexity, and based on
these analyses, they bring conclusions about the possible ways of solving it and making appropriate strategic, operative decisions. Through the study of literature, students are introduced to methods assigned for solving
similar tasks and deal with the practice in their solving.
Course Outcomes
It is expected that students will be qualified to:
independently apply previously acquired knowledge for the sake of the examination of the structure of
the given problem and its systemic analysis with the aim of bringing conclusions concerning possible
ways of solving them,
while using literature independently, students are expanding knowledge related to the specific area,
perform independent research work,
present results of their work.
Course Content
Doctoral thesis research is the independent work of the candidate through coordinated work of candidates and
mentors. The mentor guides the candidate through his work and helps him/her throughout the entire process of a thesis completion:
selection of a thesis topic,
formulation of a thesis content,
setting up objective, subject matter and methodology,
selection of problem-solving methods, collection, processing, analysis and verification through the use
of appropriate scientific methods,
the final research work design.
The doctoral thesis research represents the research work of the candidate through which he/she becomes
acquainted with the methodology of work on scientific-research projects. This research proves that the candidate
has mastered the theoretical part of the research, theoretical knowledge related to the chosen area, and that he/she
successfully completed entire research process through:
detecting problems,
processing of problem from the theoretical point of view,
the research section – organization and realization of research,
the thesis completion process.
Recommended literature
Singidunum University library
Group of authors, Available scientific journals.
Active teaching/learning hours
(total): 20
Theory: Practice/Independent/Supervised Work: 20
Applicable Teaching Methods:
Candidate’s independent research work.
Grading Scheme (max. 100 points)
Pre-examination obligations Final exam
Research work 50 Exam 50
Course title: PREPARATION AND DEFENSE OF DOCTORAL THESIS Teacher/-s: A group of teachers who meets the mentoring requirement Course status: Compulsory ECTS credits: 30 Prerequisite: Students must pass all the exams
Course objectives
Acquiring knowledge about the structure and form of writing a thesis report after analysis, and other activities
carried out within the assigned topic of the doctoral thesis. By writing the doctoral thesis, students gain
experience for creative work, writing papers in which it is necessary to describe the problem, implement methods
and procedures and results obtained, as well as to give new scientific contribution to the science development and
to the application of the scientific research in practice. In addition, the goal of writing and defending a doctoral thesis is to enable students for independent paper preparation in a suitable form for the purpose of public
presentation, as well as to respond to comments and questions related to the given topic.
Course Outcomes
Students are enabled for a systematic approach in solving the given problems, carrying out analyses, applying
knowledge and accepting knowledge from other areas in order to find creative solutions for a given problem.
Through independent studying/work and by solving tasks in a given topic, they acquire the knowledge about the
complexity of the problems in the field of their profession. While working on the doctoral thesis, students gain
experiences that can be applied in practice when solving problems in the relevant field/-s. Students acquire all the
necessary experience on how to present the results of independent or team work in practice by preparing the
results for public defense, by the public defense itself, and by answering questions of the Defense Committee.
Course Content
The Content is formed individually, in accordance with the needs and the field examined by a given doctoral
thesis topic. In agreement with a mentor/supervisor, a student completes the doctoral dissertation in a written form in accordance with the rules provided by Singidunum University. The student prepares and defends the
written doctoral thesis in public, in agreement with the mentor and in accordance with the prescribed rules and
procedures.
Recommended literature
Singidunum University library Group of authors, Available scientific journals.
Group of authors, Available literature for the scientific field from which the dissertation is.
Active teaching/learning hours
(total): 20
Theory: Practice/Independent/Supervised Work: 20
Applicable Teaching Methods:
Independent research work of a candidate. During the elaboration of the doctoral thesis, students consult their
mentor, and other teachers (if necessary) dealing within a sphere of the doctoral thesis. Students write the
doctoral thesis, and, upon the defense committee approval, submit bound copies to the committee. The defense of
the doctoral thesis is performed in public, and after the presentation, students are obliged to orally answer the
questions asked by the Committee.
Grading Scheme (max. 100 points)
Oral defense of doctoral thesis.