The School of Production Engineering and Management of the Technical University of Crete participates in the Erasmus+ Action KA1 Learning Mobility of Individuals. Detailed information for all incoming Erasmus students is available in the Erasmus+ Programme Office of the Technical University of Crete.
The Erasmus+ academic coordinators are Professor Yiannis Marinakis and Assistant Professor Lefteris Doitsidis.
The courses available to incoming Erasmus+ students are listed below. Further details can be found in the undergraduate program guide.
Fall semester courses
| Course | ECTS | Teaching method | Evaluation | Instructors |
| Structural Dynamics, Vibrations and Control (MPD 432) Single-degree-of-freedom linear oscillator: free vibration response, eigenfrequency, damping, forced vibration. Multiple-degree-of-freedom systems: simulation, eigenmodes, eigenfrequencies, eigenvalue analysis. Analytical dynamics: generalized coordinates, kinematic constraints, virtual work, Langrage equation, Hamilton equation. | 4 | Projects | Projects | G. Stavroulakis P. Alevras |
| Environmental Science and Technology (MPD 504) Environmental pollution: air, water, soil, biosphere. Technology, industry, and environment. Air pollution: sources and impacts. Air emissions control technologies. Technologies for removal particulate matter. Wastewater treatment technologies. Management and energy utilization of solid waste | 4 | Lectures & projects | Projects | S. Papaefthimiou |
| Marketing (MPD 406) Marketing: definition, marketing environment. Development of a competitive advantage in marketing. Marketing strategies. Market research. Market segmentation. Consumers, factors affecting consumer behavior. Lifecycle of products. Functions to express product lifecycle. Sales forecasting. Product policy and strategy. Adoption and distribution of new products. Pricing and distribution policy. Product promotion, advertising, personalized sales. Management in marketing | 5 | Projects | Projects | S. Tsafarakis |
| Project and Production Management and Scheduling (MPD 409) Introduction to project management and scheduling. Mathematical tools. Optimal time-scheduling with and without constraints. Resource allocation scheduling, time-cost relationship. Taxonomy of production systems. Production Process Selection and Scheduling. Layout planning, layout algorithms. CPM, PERT methods. Production line balancing. Main production planning. Material requirements planning | 5 | Lectures & projects | Projects | I. Papamichail |
| Environmental Analysis and Planning (MPD 208) Humanity and the environment. Concepts and principles of ecology. Environmental ethics and legislation. Environment and sustainable development. Environmental problems: global warming and climate change, stratospheric ozone depletion, acid rain, urban smog, ecosystems' destruction. Environmental Management Systems. Life Cycle Analysis. Environmental - ecological footprint. Ecological and energy labelling. European legislation and international standards and regulations on environmental and energy management and planning issues. | 4 | Lectures & projects | Projects | S. Papaefthimiou |
| Stochastic Processes (MPD 303) Introduction. Definition of stochastic processes, probability, distribution and probability density functions, correlation, moments, mean square calculus, independence, stationary processes. Wiener process. White noise. Random walk. Poisson process. Linear systems with stochastic inputs. Ergodicity. Markov chains. Introduction to information theory. | 5 | Lectures & projects | Exams & projects | V. Kouikoglou |
| Combinatorial Optimization (MPD 426) Mathematical models and applications of combinatorial optimization. Differences between linear and integer programming. Graphs and networks. Data structures for graphs and networks. Graph search. Shortest paths and discrete dynamic programming. Minimal spanning trees and greedy algorithms. Flow problems. Problem and algorithm complexity. Linear and Lagrangian relaxation. The branch-and-bound method. Local search. Heuristic and meta-heuristic algorithms. Approximation algorithms. | 5 | Lectures & projects | Projects | Υ. Marinakis |
| Control Systems Ι (MPD 401) Introduction and Definition Terms: Open and Closed Loop Systems, Feedback Control, Basic elements in a control system. Mathematical Concepts: Input/Output Signals, Laplace Transformation, Mathematical Models based on Differential Equations, Dynamic/Time Response. System Description: Block Diagrams, Transfer Functions, 1st - 2nd- nth order systems. Control System Features: PID Controller (proportional, integral, derivative/differential actions), Stability, Root Locus, Effect of poles/zeros/dead time in a Control System, Tuning of PID Controllers | 6 | Lectures & projects | Exams & projects | D. Ipsakis |
| Design and Optimization in Supply Chain Management (MPD 514) Role of supply chain management. Planning demand and supply in a supply chain. Applications and mathematical modeling. Algorithmic complexity. Traveling salesman problem, bin packing problem. Transportation and distribution of products in supply chain. Network design problem. Distribution channels. Route selection. Fleet-size problems. Vehicle-routing problem. Variants of the vehicle-routing problem (time windows, multicommodity, dial-a-ride, pickup and delivery problems). Vehicle scheduling problem. Ship routing problem. Inventory routing problem: single-period inventory routing problem, multi-period inventory routing problem, infinite horizon inventory routing problem. Location problems. Covering problems. P-center and P-median problems. Capacitated and uncapacitated facility problems. Location routing problem. Integrated logistics. E-Supply chain management. Case studies (modeling, development, and solution methodologies). | 5 | Lectures & projects | Projects | Υ. Marinakis |
| Financial Management (MPD 402) The operation of a firm and its goals. The evolution of financial management. Credit system. Basic financial statements: Balance sheet, net income statement. Working capital. Financial ratios. Financial analysis methodologies. Profitability. Financial leverage. Industrial and financial risks. Break-even point analysis. Sources and uses of funds. Financial forecasting methods. Corporate financing: self-financing, share capital increases, loans, leasing. Case studies | 5 | Projects | Projects | C. Zopounidis |
| Financial Engineering (MPD 427) Introduction to financial markets. Financial risk management. Portfolio management theory. Portfolio optimization models. Fixed income securities. Valuation models. Risk management for fixed income securities (credit risk, country risk, interest rate risk). Financial derivatives. Options and valuation models. Forwards and futures. Hedging strategies with derivatives. Value-at-risk. | 5 | Lectures & projects | Projects | M. Doumpos |
Spring semester courses
| Course | ETCS | Teaching method | Evaluation | Instructor |
Data Analysis (MPD 323) | 4 | Lectures & projects | Projects | G. Atsalakis |
| Investment Analysis (MPD 422) Financial Mathematics. Time value of money. Capitalization. Annuities. Investment decision under certainty. Overview of the investment evaluation criteria. Investment decision under uncertainty. Uncertainty and risk. Investment decision under indefinite future. Investment decision under probabilities. Risk and Return of a portfolio. Portfolio selection and management; market model, capital asset pricing model. Case studies. | 4 | Projects | Projects | C. Zopounidis |
| Renewable Energy Sources (MPD 516) Introduction and general definitions. Forms of energy and energy needs. Solar energy: photothermal, photoelectric and passive solar systems. Wind energy: key characteristics of wind - wind turbine technology. Biomass - Biofuels. Geothermal energy. Hydraulic power and hydropower plants. Ocean and tidal wave energy. Principles of energy saving and energy efficiency | 4 | Lectures & projects | Projects | S. Papaefthimiou |
| Introduction to Artificial Intelligence (MPD 306) Introduction to Artificial Intelligence. Problem Solving. Knowledge Representation and Reasoning. Uncertainty and Fuzzy Knowledge. Planning. Expert Systems. Machine Learning. Rough Sets. Neural Nets. Evolutionary and Genetic Algorithms. Fuzzy Sets. Data Mining. Intelligent communication methods (natural language processing, vision, robotics). Agents: intelligent agents, multi-agent systems, applications. | 4 | Projects | Projects | S. Tsafarakis |
| Game Theory (MPD 407) Introduction, Games with two players. Zero-sum games. Pure and mixed strategies. Matrix and bi-matrix games. Equilibria and saddle points. Minmax theorem. Solution of matrix games using linear programming. Solution of Bi-matrix Games using nonlinear programming. Nash equilibriums and Pareto points. Hierarchical games. Stackelberg equilibria and disequilibria. Bi-level programming. Application to microeconomics: Cournot duopoly. Application to traffic planning: traffic assignment problem. | 4 | Lectures & projects | Projects | Y. Marinakis |
| Political Economy (KEP 102) Includes an analysis of basic notional categories and relations in political economy, as well as a brief review of recent economic history. Particular references are made to: the theory of valuation, surplus value, pricing, the relationship between competition and distribution, the fundamental trends and incongruities of amplification, and financial crisis phenomena. | 4 | Lectures & projects | Exams & projects | K. Tsagarakis |
| Control Systems II (MPD 430) Advanced Single Input - Single Output Control Design / Synthesis: Feedback Control, Feedforward Control, Feedforward/Feedback Control, Cascade Control. Introduction to multivariable control systems: State-space models, Linearization of Differential/Algebraic Equations, Controllability, Observability, Stability. Multivariable Control: Pole placement, State-Feedback control, LQR Control, State-Observer. Introduction to Optimal Control. | 4 | Lectures & projects | Exams & projects | D. Ipsakis |
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School of Production Engineering and Management
Technical University of Crete
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