In this section are presented all the courses coordinated by members of The Department of Economic Informatics at the Faculty of Cybernetics, Statistics and Economic Informatics and other Faculties within the Academy of Economic Studies.
Courses of Economic Informatics and Cybernetics in the undergraduate program of The Faculty of Cybernetics, Statistics and Economic Informatics
The course is focused on achieving knowledge related to the main issues of computing systems’ components and functions and also on achieving skills related to computer usage in distributed environments. The course track includes issues on: information transmission theory, numerical and logical principles in computing, computing systems’ architecture, microprocessors, memory, auxiliary devices, networking, Internet services and systems.
Basics of Computer Programming
The main objective of the subject aim that the students learn the following elements: basic notions of programming, problem-analysis methods for computer-based solving, logic of developing structured and modular algorithms; developing programs in C language. The specific goal is achieving skills related to computer programming basics. Topics included: Computer structure and functions; Internal data organization; Algorithms; Structured logical representations; General characteristics of the C programming language; Static data types and; Input/output operations; Control structures using the C programming language.
Computer Operating Systems
The emphasis is laid on the philosophy and architecture of the operating systems, with practical examples in both Windows and UNIX environments. Students will learn the principles of modern operating systems focusing on: evolution, components, role, functions, installation and configuration. Students will also learn how to use system level script programming languages, such as Shell, to automate repetitive system administration tasks.
Office Pro Software
The course focuses on best practices on using Office applications like word processors, spreadsheets, presentations. Also, the students are taught how to design databases, how to create Web sites, how to work with XML-based forms and office automation using VBA.
The main objective of the course is to teach the students the following topics: dynamic data types, dynamic memory allocation (dynamically allocates vectors and matrix), working with subprograms, basics knowledge and skills about files theory (methods of organization, access types, working with arrays in files, working with sequential, relative and indexed files). The specific goal is achieving skills related to computer algorithms.
The course curriculum provides students training in databases design and databases usage to different social-economic areas. The courses and seminars are focused on organizing data, data models, relational databases and SQL language, using the environment provided by Oracle Database.
Computer Service and Configuring
The main objective of this course is to familiarize the students with the PC components (motherboard, microprocessor, memory, external storage, extension cards, communication ports etc.) and to teach the students assembling/disassembling PC components; upgrading, configuring, setting up and repairing PC components.
The main objective of the course is to teach the students the following concepts: Graphs (definitions, representation, traversing, connectivity, paths in a graph, tree like graphs); Dynamic data structures. (single linked lists, double linked lists, circular lists, binary trees, search trees, structure trees); Object oriented programming (object oriented data model, classes, objects (instances), attributes, methods, private and public part of the class, encapsulation, inheritance, polymorphism, constructors, destructors, virtual methods, abstract classes). The specific goal is achieving skills related to computer programming
The main objective of the curriculum is students’ acknowledgement of fundamentals in: Database Management Systems (DBMS), relational DBMS, Oracle System, working with Oracle interfaces, using and exploring Oracle PL/SQL language and advanced SQL language. Theoretical concepts studied are implemented by the students’ applications developed with database environment using Oracle Database and Oracle Developer Suite.
The course aims to develop skills related to the usage of Internet protocols and services and also related to the design and development of Web applications and Web sites. The course track includes both client-side and server-side technologies (XHTML, CSS, Java Script, XML, PHP, MySQL, Ajax). The course is focused merely on practical issues.
Economic Informational Systems
This course aims to respond to answers related to the necessity of producing information, its role in economic organizations and also provide analysis solutions for the information support of economic decisions. The specific goal is achieving skills related to economic information systems. Topics included: Economic systems; Economic information; Economic information life cycle and quantitative estimators; Types of information systems; Economic decision; Information flow management; Information systems security; Software platforms for electronic document management
Object Oriented Programming
This course intends to familiarize the students with the new trends in programming area. It presents the object oriented programming fundamentals: abstract data types, encapsulation, inheritance, polymorphism, template classes, STL and programming techniques. All the topics are illustrated in C++ language.
This course presents data types, the definitions of data structures, object oriented data-structures exemplified in C++, models of data structures, pointer variables, structure arrays, records, and files, lists, stacks and queues, trees (AVL, B, searching binary trees), dynamic structures, data compacting, implementation of the data structures, aggregations etc. For each data structure properties and operations are presented.
The main objectives of the course are the knowledge of multimedia facilities of the computer systems and the techniques for multimedia applications development using multimedia authoring software packages.
Windows Applications Programming
The course intends to familiarize the students with the Windows platform programming concepts. To achieve this, the Microsoft .NET Framework classes and the C# programming language are used with visual programming. The examples cover economic applications.
This course aims to present basic notions related to applicative software packages as well as state-of-the-art software products with the goal of solving economic problems. Aspects related to software packages development are also presented. For practical application will be used software packages specialized in economic data processing, statistical analysis, optimization and decision support (with emphasis on SAS integrated software package) for the purpose of analyzing an organization’s activities and the possibilities to extend these activities.
The goal is to support students for achieving knowledge related to the main issues of distributed environments and also for achieving skills related to the usage of network and Internet services. The course develops skills required for both network administration and network programming. The course contains an extended presentation of the ISO/OSI and TCP/IP models, presenting relevant services, interfaces and protocols on every conceptual layer.
Operations Research 1
The course aims to initiate the students in:
- Business processes modelling using economic and mathematical techniques and algorithms for problem solving (Linear Programming, some problems from Graph Theory, Project Management);
- Acquiring the required knowledge to design the decisions for optimal management of the economic systems;
- Developing and using the correct modelling language and the right and well justified reasoning;
- Using software products for solving the optimization problems introduced by the course.
Operations Research 2
Operational Research II is a course addressed to the undergraduate second year students from the Economic Cybernetics Faculty. It consolidates and extends the knowledge and the ability to use the quantitative techniques for economic processes analysis. The course aims to integrate the models and optimization techniques in economic systems management, stimulating students’ creativity through the proposed study cases and using the dedicate software for economic problems solving.
The course content includes:
- Optimization Problems in Transport and Distribution Networks;
- Economic Modelling with Integer Variables;
- Problems of establishing Optimal Routes;
- An Introduction in Non-linear Programming – Kuhn-Tucker optimality conditions.
Business Logistics initiates the students of the master program Cybernetics and Quantitative Economics in controlling the elements that influence the movement and storage of goods and related information from the beginning up to the end of the supply chain. The methodology includes heuristics and algorithms accompanied by software programs dedicated to improve both the material and informational flows.
The course pushes up students’ interest and implication in finding optimal solutions for managing the details of any complex business operation and tacking business decisions in the logistic systems.
Risk Management is a course designed for the undergraduate third year students from the Economic Cybernetics Specialization. The objectives of this course are to enhance students’ skills for:
- Identifying the sources for risk and uncertain into the companies’ activity;
- Strengthening their knowledge required by the assessment and management with different kind of risk (business, financial, domain specific, human capital behaviour etc.);
- Simulating possible scenarios for business development under the specific risk of the competitive and also collaborative markets;
- Design specific models and strategies for managing risk (avoiding, diversification, control, sharing, transfer, and accepting), and identifying new paradigms in risk management: Cyber Risk, Political Risk, and Environment Risk;
- Thinking and acting dynamically in managing economic processes and the associated risks and also identifying and reducing in real time the economic, social and political risks.
Operational Research – Special Chapters
Ii is a course designed for the students enrolled in the master program Cybernetics and Quantitative Economics. Its content complete and consolidate the set of optimization problems generated by economic systems’ activity, problems that are addressed through modelling and solved using quantitative techniques. “Operational Research – Special Chapters” develops the students’ skills for using mathematic modeling and adequate quantitative optimization techniques in analyzing economic processes. Course topics include:
- Multi-objectives processes modelling using Goal Programming;
- Decomposition Methods in large scale systems’ analyze;
- Numerical Methods for Nonlinear Optimization;
- Some difficult problems in Combinatorial Optimization (Assembly-line balancing, Ordering problems, Chinese postman problem).
- Data analysis is one of the fundamental subjects of importance for training specialists in quantitative economics, economic analysis and financial prediction.
- It is classified as interdisciplinary courses that provide a combination of higher education studenţiolor knowledge economy, content being at the intersection of fields such as economic and financial theory and practice, mathematics, probability theory and statistics, computer science. The approach in teaching this subject is of quantitative, tint is likely the predominant presentation with the main instrument applied and the electronic computer.
- Based applications will be the newest and most modern software implementations of various techniques give data analysis (statistics, SYSTEM, S-PLUS, EViews, Mathematica)
Course contents: CHAPTER 1. Tasks, objectives and fundamental concepts of data analysis; CHAPTER 2. Defining the basic concepts of data analysis; CHAPTER 3. Preliminary data analysis; CHAPTER 4. Principal components analysis; CHAPTER 5. Factor analysis; CHAPTER 6. Analysis of correspondences; CHAPTER 7. Canonical correlation analysis; CHAPTER 8. Pattern recognition systems and their components; CHAPTER 9. Cluster Analysis; CHAPTER 10. Discriminant analysis.
- Studying the basis of the mathematical-economical modeling in risk and uncertainty
- Analyzing the behavior of the economic agents: the Principal and the Agent
- Analyzing the optimal choices of the economic agents in incomplete information
Course contents: 1. Analyzing the Economic Agents’ Behavior in Risk and Uncertainty; 2. Studying the Types of Problems in Asymmetric Information; 3. Contracts in Symmetric Information. Optimal Mechanism of Paying for Economic Contracts. Optimal Effort Level for Economic Contracts; 4. The Adverse Selection (Auto selection). General Notions. Applications of the Adverse Selection Model. Analyzing the Incitative Constraints. Solving the Model. Examples. Application on the Insurance Market; 5. Economic Contracts in Moral Hazard. The Model. Information and the Second Order Loss. Examples and Applications for Insurance Market and for Financial-Banking Field; 6. Signaling Models. Cars Market (Akerlof Model). Expensive Signals and Gradual Signals (Spence and Crawford-Sobel Model). Applications on Labor Market.
- Studying the basis of the mathematical-economical modeling of the microeconomics phenomena
- Analyzing the behavior of the economic agents: the consumer and the producer
- Analyzing the optimal choices of the consumer and producer
Course contents: 1. Introduction in the Quantitative Microeconomics; 2. Consumer’s Preferences and Budget Constraint. The Utility Function; 3. Consumer’s Optimal Choices on Goods and Services Market; 4. The Income and Substitution Effects; 5. Producer’s Optimal Choices; 6. The Production Function; 7. The Cost Function; 8. The Profit and the Surplus of the Firm; 9. Competition equilibrium.
Economic Process Simulation
- Initiating students in the use of simulation techniques for analyzing and optimizing economic systems
- Designing, developing, testing and implementation of simulation models
- Integration of knowledge from other economic disciplines in multidisciplinary applications
Course contents: Chapter 1. General considerations on the use of simulation techniques in economics; Chapter 2. Classification of the methods and techniques of simulation; Chapter 3. Principles and characteristics of the Monte Carlo method; Chapter 4. Generation of pseudo-random numbers and stochastic variables; Chapter 5. General structure of the economic simulation models; Chapter 6. Applications of simulation in the study of waiting processes; Chapter 7. Applications of simulation in the processes of storage, maintenance, production programming and decision theory; Chapter 8. Macroeconomic simulation process; Chapter 9. Game Simulation.
- A complex vision of the economic decision process using the obtained knowledge;
- Learning methods, techniques and modern decision analysis models, including methods of decision support systems;
- To stimulate the students’ creativity using case study projects form the economic decision field
Course contents: Chapter 1. Decision theory – main objects; Chapter 2. Stages of decision process and elements of decision problem; Chapter 3. Logical structure of decision process; Chapter 4. Mathematical modeling of the decision process; Decision under risk and uncertainty; Theory of attitudes towards risk; Decision trees, Bayes analysis; Chapter 5. Group decision; Chapter 6. Portfolio decision.
Economic Cybernetics Fundamentals
A fundamental discipline in preparing of the cybernetics graduates of our faculty, it presents systematically the development and evolution of concepts and methods, major cybernetics systems and the means of study of complex adaptive system (CAS), considered to be the main subject of cybernetics. Are thus introduced CAS properties such as: connectivity and interdependence, co-evolution, dissipation and functioning far from equilibrium. Are also introduced and then explained the main types of feedback mechanisms and how they are embodied in the regulation of different economic systems. Finally, it explains the meaning of emergence and self-organization that are the basic causes of the processes of evolution and transformation of economic cybernetic systems. Examples are from the micro and macro systems such as: business, financial system, commercial bank or national economy.
Contents: Introduction: The emergence and development of cybernetics, Chapter 1: Defining cybernetics as a science, purpose and methods of economic cybernetics, Chapter 2: Complex adaptive systems, Chapter 3: Connectivity and interdependence of complex adaptive systems, Chapter 4: Co-evolution, dissipation and operation far from equilibrium in complex adaptive systems, Chapter 5: Fundamental feedback processes complex adaptive systems, Chapter 6: Self-organization and emergence in complex adaptive systems, Chapter 7: Examples of complex adaptive systems in economics.
Cybernetics of Economic Systems
Discipline has, further Bases Economic Cybernetics, development and delivery of the property the subject of current cybernetics, complex adaptive system (CAS) for different types of economic systems. It tries to respond to a series of questions argued as: What is CAS? How is it the economy? What methods can be used to study a CAS? What are the implications of CAS on cybernetics and its applications in economics? What are the advantages and disadvantages of using CAS paradigm and related methods for knowledge in general and economic knowledge in particular? In the second part of the course is introducing two complementary ways of modelling the CAS, that modelling based on equations and agent-based modelling, applied to different economic systems.
Contents: Introduction: Complex adaptive system in the economy, Chapter 1: The enterprise as a complex adaptive system, Chapter 2: Financial market as a complex adaptive system, Chapter 3: Commercial Bank as a complex adaptive system, Chapter 4: The national economy as a complex adaptive system, Chapter 5: CAS modelling the economy – Models based on equations, Chapter 6: CAS modelling the economy – Models based on agents.
The company is the most dynamic economic system, it evolved as a certain path called life cycle, the timing and until gone through bankruptcy or through self-dissolution, merger, division, and transformation or by other means. During its lifecycle, a company through various forms which are usually more efficient than previous ones, and all businesses as a whole, become more efficient as an economy develops. This dynamic occurs in all national economies have important effects on the society, technology, population and social system in general. Therefore, knowledge of evolution laws of the underlying business is very important for all other economic systems, technological and social. Cybernetics enterprise provides methods and models of best to explain processes and phenomena that affect or are present at the enterprise level.
Contents: Chapter 1: The enterprise as a complex adaptive system, Chapter 2: The company fully integrated, Chapter 3: The Extended Enterprise; Chapter 4: Adaptive Enterprise (agile), Chapter 5: Intelligent Enterprise, Chapter 6: The Virtual Enterprise, Chapter 7: Use of Multiagent Systems in Enterprise.
National Economy Cybernetics
The national economy focus operation results of a variety of self-regulation mechanisms and existing businesses, banks, industries and markets. How these mechanisms cooperate and coordinate major flows of products and services, that financial flows, economic effects of different mechanisms regulating the successive transformation of these flows in productive activities or financial – monetary taking place in the economy are studied systematically in the this discipline. Course eliminates some of the inadequacies and shortcomings study national economy, providing a systemic vision, dynamic and adaptive on the main macroeconomic phenomena and processes. Complex network of economic, co-evolution in the global economy with other economies, functioning far from equilibrium characteristics, processes and feedback mechanisms that determine economic regulation and self regulation, crises shows that the economy can have chaotic behaviour or limit chaos adaptation and self-organization of the economy or parts thereof are the most important topics addressed in this course.
Contents: Chapter 1: The national economy as a complex adaptive system, Chapter 2: Economic cycles, showing adaptability and chaos in the economy, Chapter 3: Main fundamental Mechanisms of Regulation of Economics
Chapter 4: Modelling Economic Growth Chapter 5: CAS modelling in the economy – Models based on equations, Chapter 6: CAS modelling the economy – Models based on agents.
Economic dynamics can be defined as the discipline that studies the nature and causes of economic changes taking place in time and space. Imposed as a global independent economic discipline, it has made great progress, representing today one of the top fields of economic research. Combining economic growth potential in the advanced economic theories and methods with concepts from other sciences such as physics, biology, artificial intelligence, genetics, etc. actually led to recording a jump in-depth knowledge and practical mechanisms that determine economic growth and development, cycles and fluctuations in economic systems, a clear understanding of the interdependence of economic and other systems that exist in nature and society. To study these phenomena and processes that are dominant in nature and society, the first part of the course, called nonlinear dynamics, the second part of the course to introduce different methods and techniques of fractal geometry and chaotic dynamics applications consistent with the study of complex economic systems . The course addresses students in second cycle of university studies (Master), and graduates and researchers in various fields of economy, interested in studying contemporary economic paradigm from a dynamic perspective.
Contents: Introduction: Economic dynamics and complexity science, Chapter 1: Dynamical Systems in Economics, Chapter 2: Economic models dynamic, Chapter 3: Bifurcations and chaos, Chapter 4: The emergence of chaos in dynamic economic systems; Chapter 5: Routes to chaos, Chapter 6: Quantitative methods for measuring chaos, Chapter 7: Fractal methods for measuring chaos, Chapter 8: Applications of chaos and fractals in the economy
Essential discipline for each economist, Macroeconomics, (discipline scheduled in the third study year, second semester) represents the intermediary level of Economics discipline (taught in the first year). Discipline basic objectives are: to teach students macroeconomic basics and macroeconomic variable relationships; to teach students how is made the projection, he development, testing and validation macroeconomic models; macroeconomic aggregates determination, evaluation and inter-conditioning; Also, we explain the macroeconomic relationships between unemployment and inflation, aggregate demand, aggregate supply and price level, and how is possible to determine macroeconomic equilibrium. Another objective of discipline is to understand, based on macroeconomic models, which are the foundation of fiscal policies, monetary policies and mixed policies.
Content: Chapter 1. Macroeconomic modeling basic elements; Chapter 2. Macroeconomic aggregates: determination, evaluation and inter-conditioning analysis; Chapter 3. Market mechanism: equilibrium neokeynesians macroeconomic models; Chapter 4. Macroeconomic equilibrium and external sector; Chapter 5. Macroeconomic analysis of aggregate demand, aggregate supply and there relationship; Chapter 6. Macroeconomic analysis of inflation and unemployment; Chapter 7. Consumption and consumption demand models; Chapter 8. Business cycles; Chapter 9. Economic growth and Romania’s EU integration ; Chapter 10. Fiscal, budgetary, monetary and mixed policies.
Advanced Macroeconomics discipline continues the third year course of Macroeconomics. The basic objectives are: to present the main macroeconomic feed-back relationships, the equilibrium, stationarity and optimality of the economic aggregate system; to study open and closed economies as well as on the dynamic equilibrium of the international economies. The dynamic analysis is oriented versus economic growth, economic fluctuations, macroeconomic policies, macroeconomic balances and unbalances; to analyze the efficiency of the macroeconomic instruments correlated with the credibility of the government strategies and the peoples expectations in terms of temporal consistency of the macroeconomic decisions; to analyze fiscal policies in correlation with budgetary deficits and with their effects on the dynamic equilibrium.
Content: Chapter 1. Classical theory of economic growth; Chapter 2. The new theory of economic growth (research and development models and endogenous growth); Chapter 3. The real business cycles theory; Chapter 4. The new theory of economic cycles (dynamic analyze of IS-LM-AS model, informational models of the economic cycles); Chapter 5. Dynamic modeling of the open economies (models of the small open economies, models of the large open economies, capital mobility models); Chapter 6. Budget deficits and fiscal policies ( budgetary constraint on finite and infinite time, Ricardian equivalence, stabilization policies on short and long term, crowding out and crowding in effects, seignorage); Chapter 7. Dynamic modeling of the economic policies ( the dynamic inconsistency, the reputational models, targets and instruments of the monetary policies, liquidity trap).
Last 20 years great universities from over the world include in their curriculum Game Theory disciplines. Basic objectives are: to initiate students in basics of game theory and negotiations theory; to use mathematical-economic approach of economic agents activity from a competitive, imperfect market; to identify processes and economic phenomena that is possible to analyze by intermediary of game theory. Other objective is to teach students game theory specific methods and models that can be used to analyze economic and social phenomena. The final part of the course is dedicated to negotiation mechanisms and how students determine appropriate techniques and methods to win specific negotiations.
Content: Chapter 1. Introduction: history and basics of game theory; Chapter 2. Static games in complete information: equilibrium determination algorithms, economic applications; Chapter 3. Dynamic games in complete information: extended form, backward induction algorithm, folk theorem and infinite repeated games, Benoit-Krishna theorem and finite repeated games. Chapter 4. Static games in incomplete information: Bayesian equilibrium, design mechanisms and revelation principle. Chapter 5. Negotiations in complete information: Nash axioms, repeated negotiations, patron-union negotiations; Chapter 6. Negotiations techniques and tactics: negotiation types, negotiation management, negotiation skills.
Game Theory and Negociations
Game Theory and Negotiations discipline continue first Game Theory course taught in the third license year. Course content are oriented versus student’s knowledge accumulation regarding game theory methods used to analyze macroeconomic and microeconomic mechanisms and develop their skills to formalize negotiation processes. Discipline basic objectives are: to present economical and mathematical foundations of Game Theory algorithms; to study economic agent’s behavior by intermediary of game theory methods; to pass from non-cooperative approach to cooperative approach; to analyze specific economic mechanisms like reputation effects, auctions, zero-sum games or negotiation mathematics.
Content: Chapter 1. Static games in complete information: existence and uniqueness theorems; Chapter 2. Static games in incomplete information: existence theorems and economic applications; Chapter 3: Dynamic games; Chapter 4. Repeated games; Chapter 5. Reputation effects and signaling games; Chapter 6. Auctions and design mechanisms; Chapter 7. Cooperative games: Shapley value and game core; Chapter 8. Economical-mathematical models of Negotiations theory.
Courses of Economic Informatics for the Economic Informatics Master
Software Engineering and Assembly Languages
The main chapters of the course are: iteration, recurrence, programming methods and techniques (Greedy, backtracking, Divide et impera, dynamic, heuristic, branch & bound programming) parallel, concurrent, mixed programming and, object oriented elements of graphics. It also contains the assembly language basics.
Management Information Systems Development
The discipline prepares students in the areas of requirements specification, analyses, design, implementation and maintenance of information systems for management. The emphasis will be on current methods and techniques used in information systems development. Topics include various issues related to information systems for management: types of systems, development methodologies, object oriented analysis and design, component design, CASE tools, stages of life cycle and development cycle.
The course contains the mathematical and computer bases of graphics, the fundamental algorithms of computer graphics, object graphics. The main objectives are acquiring the knowledge of graphic fundamental algorithms and assimilation of graphical libraries necessary for graphic applications developing
The main objective is the students’ accommodation with the main concepts on information society, digital economy and virtual organization – models for economic relationships based on knowledge in European context of network economy. Topics included: Information society; New distance work forms: telework, telecommuting, virtual office, managerial context; Virtual activities: e-medicine, online marketing, Internet-shopping, e-learning, virtual communities, e-government; Digital economy: characteristics, expression ways, models; Virtual organizations.
Numerical analysis (Elective)
The course consists in errors and numerical algorithms concerning: solution of nonlinear equations, solution of systems of nonlinear equations, solution of algebraic equations, matrix inversion, direct and iterative methods for solving systems of linear algebraic equations, eigen values and eigen vectors, functions approximation by interpolation and by smoothing through the method of the smallest squares, numerical derivation, numerical integration, initial value problem.
Mathematical Logic (Elective)
The course consists in: calculus of propositions, calculus of predicates, lattices and Boolean algebra, the Boolean algebra of sets, the Boolean algebra of relations, the relation algebra, the formal systems of proposition calculus and of predicate calculus, fuzzy logic and algebra of fuzzy logic.
The course approaches: Search algorithms: heuristic search; Logic-based representation and reasoning; Production rule systems; Structured objects and semantic graphs; Feed-forward neural networks, Recurrent neural networks, Competitive neural networks; Knowledge acquisition; Expert systems in management, finance, marketing, statistics; Intelligent software agents; Knowledge-based system development – methodological issues.
Computer Networks Technologies (Elective)
The objective of this course is to present advanced issues regarding networking. The students will acquire the abilities for analysis, design and development of distributed applications. The course continues the curricula of the Computer Networks course. The course track includes issues on: recent networking protocols, high-speed networks, mobile networks, network management, networks security and network operating systems.
Distributed Application Development (Elective)
The objectives of this course are: achieving knowledge about distributed software application development and improving the ability to develop, implement and maintain distributed applications systems Topics included: summary for sockets and RPC in Java, algorithms for distributed applications, concurrent programming – processes and threads, distributed programming, Web distributed programming, distributed applications development based on several protocols (TCP/UDP/HTTP/XML-RPC/SOAP/SMTP/ SNMP/ ICMP).
The course provides to students mastering of a theoretical and generic approach for database administration. The main objective of the course is students’ acknowledgement about: installing and configuring Oracle Database management, logical and physical storage structures, managing users and their objects, backup and restoring the database, security features and auditing the database.
Mobile Devices Programming
The course teaches the concepts required for the mobile devices development. Topics included: Mobile devices hardware (smartphones and PDAs); Mobile devices operating systems (Windows CE, Windows Mobile, Symbian, Android); Mobile applications development for Java ME, Window Mobile (Win32 API and .NET CF) , Android, Symbian and mobile Web.
This course focuses on using Java Technologies for complex application development: JFC, AWT, Swing, database access, networking, Web applications.
The course provides to participants advanced knowledge of database systems. The main objective of the course is students’ acknowledgement about main issues: distributed DBS and distributed Oracle, object-oriented DBS and object-oriented Oracle, advanced learning of Oracle PL/SQL language, Java platform integration with Oracle, Web services integration with Oracle.
Enterprise Resource Planning
The main objective of the discipline is to ensure the acquisition of knowledge about integrated information systems, methods and techniques of integration. The students will be able to understand real economic flows and their transformation as a result of integration in terms of information. Among the themes approached in the discipline we mention: the concept of integrated system and its importance; methods and techniques for integrating informatics systems; main types of integrated systems such as ERP, CRM, SCM; solutions to integrate information systems; reengineering business processes for the adoption of integrated solutions; the implementation of an ERP system.
The course objectives are to acknowledge the basic topics of e-business, and to acquire the ability for e-business systems analysis, design and development The students will discover the mechanisms for buying and selling over the Internet, e-commerce models as business-to-consumer (B2C) or business-to-business (B2B), transaction security (encryption, protocols, security keys, authentication, VPNs), e-commerce support tools, electronic payment mechanisms (electronic cash, smart cards, credit cards), standards – XML, DTD, XSL, CSS, EDIFACT.
It approaches topics like software quality characteristics systems, software metrics, compared analysis of programs, distributed applications quality, quality optimization.
IT Project Management
The course aims to prepare students to use PRINCE2 methodology for managing projects. The course is based on a full component, techniques and processes PRINCE2 methodology and the set of basic documents used in the projects. This course targets students who have sold knowledge of: software engineering methodologies, databases, analysis and development of informatics systems and programming algorithms.
Integrated Information Systems-ERP
The main objective of the discipline is to ensure the acquisition of knowledge about integrated systems, methods and techniques of integration. The students will be able to understand real economic transformation and flows as a result of integration in terms of information. Among the themes approached in the discipline we mention:
the concept of integrated system and its importance; methods and techniques for integrating informatics systems; main types of integrated systems such as ERP, CRM, SCM; solutions to integrate information systems; reengineering business processes for the adoption of integrated solutions; the implementation of an ERP system type.
Courses from Department of Economic Informatics & Cybernetics at other Faculties
Economic Informatics (Faculty of Commerce, Faculty of Marketing and Faculty of International Business and Economics)
This course focus on ICT concepts and their application in economy: PC hardware, operating systems, office software, database management systems, computer networks, Internet technologies, and computer-based information systems.
Internet Technologies for Business (Faculty of Business Administration- in Foreign Languages)
This course aim to introduce the concepts related to organization, functioning and usage of electronic resources in the cyberspace; types of e-Business: standard architectures, usage and evaluation, criteria and tools for the development and realization; integration of Web-oriented functions in office software for business applications; presentation of advanced search techniques for the collection and analysis of data in documents, ensuring the data security and confidentiality.
Informatics for Business Administration (Faculty of Business Administration – in Foreign Languages)
The objectives of this course are: enlarging the knowledge regarding the possibilities of automations at enterprise level, mainly for SMEs (small and medium sized enterprises) and the knowledge of technical architectures for implementation and of main categories of applications for business administration. The functionality of enterprises integrated applications (CRM, SCM, ERP) and options regarding the integration of software applications are presented.
General Informatics (Faculty of Business Administration – in Foreign Languages)
This course presents computer science concepts and notions, in theory and practice: knowledge of essential hardware and software characteristics of personal computers and using computer systems. Also, the basics of programming are introduced.
Multimedia (Faculty of Commerce, Faculty of Marketing and Faculty of Economics)
The course main objectives are the knowledge of multimedia facilities of the computer systems and the techniques for multimedia applications development using multimedia authoring software packages.
The course aims to prepare students with the conceptual approach of artificial intelligence and provide the methodological foundations of the design and implementation of the multi-agent systems.
The main topics covered by the course are:
- Artificial intelligence and knowledge management
- Intelligent agents and multi-agent systems
- Distributed problem-solving. Algorithms for agents
- Knowledge and reasoning
- Formal methods in artificial intelligence. Representation and logical reasoning. Distributed formal methods
- Production rules and structured objects; Knowledge Graphs; Ontology-based approach;
- Knowledge acquisition. Machine learning methods (decision trees and decision rules, naive Bayes and Bayesian networks, cluster analysis, neural calculus)
- Methodologies for developing multi-agent systems
Scientific Seminar: IT PROJECT MANAGEMENT
The course aims to prepare students to use project management methods and tools for managing projects. The course is based on project management components, techniques and processes and the set of basic documents used in the IT projects management methodologies.
- IT projects: type, features. Agile project management
- IT project management: methodologies, ingredients, techniques, processes, documents
- IT project time and costs management; tools for IT project planning and controlling
- IT project risk and quality management
- IT project portfolio