The course examines the theory and algorithms of Mathematical Optimization, as well as their relationship with other fields (such as Game Theory). Specifically, the optimization of linear problems, Dual Theory, basic Linear Programming algorithms, basic concepts of Non-Linear Programming and Integer Programming, problem formulation, Dynamic Programming, and the relationship of Linear Programming to Game Theory are examined.
Course contents
The course material includes the following topics:
- Elements of Linear Algebra, parametric solution of linear equations
- The Simplex Method: description, geometric interpretation and special cases
- Sensitivity analysis and economic meaning
- The Karush-Kuhn-Tucker conditions, description and proof
- Duality Theory
- Introduction to Non-Linear Programming
- The transportation problem and the Network Simplex Algorithm
- Model building and formulation, applications and case-studies
- Integer Programming, modeling and solution methods
- Linear Programming and Game Theory
- Dynamic Programming: formulations, solution approach and applications
The objective of the course is to introduce the student of management science to the fundamentals of financial management. To this end, the course revolves around the functions of the financial system, the concept of time value of money, corporate investment and financing decisions, investment appraisal criteria and security pricing. Students will get a chance to test their understanding of the concepts and tools covered in lectures via either an elective group coursework or a real business case study.
Course contents
The course material includes the following thematic areas:
- The financial system
- Time value of money
- Investment evaluation criteria
- Risk and return of investment
- Asset pricing
- Financing decisions and the efficiency of capital markets
Undeniably, organizations cannot exist without employees. Although the management of many organizations often places more emphasis on functional specializations, such as financial control and operations management, the human element remains crucial to achieving the goals mentioned above.
This course is designed to provide a comprehensive overview of the field of Human Resource Management. In particular, the purpose and role of Human Resource Management in the broader business environment will be examined, a critical evaluation of its core functions will be made, as well as an analysis of modern strategic approaches.
Students, as future managers, are invited to understand how Human Resource Management can support and enhance the overall business purpose. At the same time, they are called upon to develop critical thinking in order to evaluate in depth its basic functions, examining how and why they are chosen, how they are implemented, as well as what their results are. They will also cultivate the skill of weighing bibliographic models and theories of best practice, evaluating their application or the need to reconsider them in practice. As conscious citizens, they are also called upon to demonstrate a sense of responsibility and commitment to the ethical application of Human Resources Management.
Course contents
- Introduction to HRM and its significance in modern businesses
- Business Strategy Management and its link to HRM
- Organizational Design and HRM
- Human Resource Planning
- Job Analysis and Description
- Recruitment, Personnel Selection, and Interviewing
- Employee Evaluation
- Training and Development of Personnel
- Compensation and Benefits Administration
- International HRM
The course aims to respond to the organizational need to identify and understand problems in the management of information and processes. In this course students are exposed to methods for the systemic and systematic study and modeling of such problems, so that they can be supported by information systems. The course focuses on the identification, modeling and documentation of requirements of the various users and stakeholders that influenced and are influenced by the development of information systems. The transition from requirements to functional specifications, information system design and the development and implementation plan in the organization that will use the information system are also studied. Particular emphasis is given on the role of the human agent in information systems development. The practical part of the course concerns the analysis and design of information systems using tools such as Soft Systems Methodology (SSM), the Unified Modeling Language (UML) and the website design language HTML.
At the end of this course, students will be able to understand the information systems development process and have the essential theoretical and practical knowledge necessary for its effective management.
Course contents
The course material includes the following areas:
1. Introduction to organizational information systems
2. Human activity systems modeling
3. Information systems analysis
4. Information systems design
5. IS life cycle – Rational Unified Process (RUP) – IS development methodologies
6. The information system in the organization (implementation and evaluation)
The course aims to present students with the basic principles and techniques of algorithms, and data structures, focusing on real problems.
Students will:
- Understand how algorithms and data structures are used in solving real world problems.
- Consider trade-offs in solving computing problems.
- Come in contact with cryptographic principles governing all digital communications and transactions.
- Learn techniques that are used in solving problems involving big data, in different application areas.
Course contents
- Algorithms and Complexity
- Data Structures
- Graphs and Networks
- Cryptography