Inżynieria systemów Systems Engineering. Mechanics and Machine Design 1 st degree (1st degree / 2nd degree) General (general / practical)

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MODULE DESCRIPTION Module code Module name Module name in English Valid from academic year 2013/2014 MODULE PLACEMENT IN THE SYLLABUS Inżynieria systemów Systems Engineering Subject Level of education Studies profile Form and method of conducting classes Specialisation Unit conducting the module Module co-ordinator Mechanics and Machine Design 1 st degree (1st degree / 2nd degree) General (general / practical) Full-time (full-time / part-time) Exploitation and Logistics The Department of Terotechnology Prof. Bogdan Antoszewski, PhD hab., Eng. Approved by: MODULE OVERVIEW Type of subject/group of subjects Module status Language of conducting classes Module placement in the syllabus - semester Subject realisation in the academic year Initial requirements Examination Number of ECTS credit points 4 Method of conducting classes Major (basic / major / specialist subject / conjoint / other HES) Compulsory (compulsory / non-compulsory) English 6 th semester Summer semester (winter / summer) No requirements (module codes / module names) No (yes / no) Per semester 15 30 Lecture Classes Laboratory Project Other

TEACHING RESULTS AND THE METHODS OF ASSESSING TEACHING RESULTS Module target The aim of the module is to familiarise students with system approach of model functioning and enterprise development planning (or another organisation in the transport and logistics business). Basic notions concerning systems engineering as well as useful knowledge in system assessment and management with respect to the following domains: management, economy, exploitation, decision theory, forecasting and strategic planning. Effect symbol Teaching results Teaching methods (/l/p/other) Reference to subject effects Reference to effects of a field of study A student has basic knowledge as regards basic mathematics (taking probability calculus into consideration, particularly in the cases of applying conditional probability in solving tasks with the use of the decision theory). In addition, a student has fundamental knowledge on economic phenomena (also including the costs of system functioning and profitability of investment in tangible assets). A student is knowledgeable as regards modelling material, energy, and information flow in technological systems. A student also understands the functioning of organization in the modelled environment by utilising elementary knowledge of organisation as well as in the logistics supply chain. Furthermore, a student has basic knowledge of technological object exploitation (service and corrective operations). Finally, a student has knowledge on logistics and spedition. A student can work individually and in a team in order to effectively obtain information from the literature on the subject and other sources; a student can also analyse and interpret the phenomena occurring in technological object exploitation and in logistics and decision-making processes. A student knows and can notice the connections between engineering decisions (including decisions in uncertainty states and risk) and the area creating close and distant environments of the analysed system (taking environmental, economic, and legal aspects into consideration). A student can also conduct a basic economic analysis with the use of profitability before and after modernisation. A student can notice the significance of the continuous improvement of his/her professional competences in terms of modelling and managing transport and logistics systems. A student is aware of the connections between engineering activity and the effects of interaction of the natural and social environment. A student is aware of the role of technical university graduate as a person responsible for l K_W01 K_W26 KS_W01_E il K_W29 K_W30 KS_W02_E il KS_W03_E il K_U01 K_U02 K_U21 K_U23 K_K01 K_K02 T1A_W01 T1A_W06 T1A_W07 T1A_W08 T1A_W01 T1A_W02 T1A_W04 T1A_W08 T1A_W09 T1A_W11 InzA_W02 T1A_U01 T1A_U02 T1A_U10 InzA_U03 T1A_U12 InzA_U04 T1A_K01 T1A_K02 InzA_K01 l K_K06 T1A_K07

Teaching contents: his/her individual work (and teamwork as well); a student is capable of acting ethically as regards the assigned organisational roles. Teaching contents as regards lectures Lecture number Teaching contents 1 Systems engineering and exploitation in system approach. Basic notions of systems engineering (taking close environment, which is created by technical and organisational infrastructure, into consideration; considering distant environment which covers external infrastructure, environmental system, power supply as well as organisational and legal system). Identifying system elements and characteristic, initial identification of relationship in the system. General guidelines concerning universal methodology of system modelling. 2 The concept of exploitation, periods, states, and exploitation activities, exploitation control. The concepts of quality, general as well as detailed characteristics, indicators. The examples of quality assessment concerning a technological object. Quality system in the Deming theory and in ISO 9000 group norms. 3 The structure of a decision-making problem (its essence, directions of operation, states, benefit function, utility function, uncertainty concerning the occurrence of states). Practical application of the laws of probability calculus in the decision-making process. 4 Cost analysis as regards the functioning of the selected system on the basis of a transport enterprise. Identifying direct and indirect costs (together with fixed and variable costs). Analysing the break-even point in quantitative and qualitative aspects. Calculating minimal price unit as regards the transport service and maximal unit service cost. Assessing a safety margin for unit price and costs. 5 The characteristics of the selected decision-making criteria concerning an investment in kind (being the means of transport in periods/times of uncertainty and risk). The structure of the decision-making problem (its essence, directions of action, states, benefit function, utility function, uncertainty concerning the occurrence of states). Statistical uncertainty measures. The examples of making optimal decisions with the use of diverse criteria. 6 The examples of calculating a sample decision-making tasks which contains diverse purchase and exploitation variants concerning the means of transport (as well as the simulation of economic effects in a given period of time). Task record in the form of a decision dendrite for the selected criterion. Selecting and justifying an optimal variant. Reference to teaching results for a module Teaching contents as regards classes Class number Teaching contents 1 Selecting and describing a system together with its environment on the basis of a transport enterprise. Identifying the structure and describing elements and relations. Technical and economic characteristics of the selected objects which create a planned investment together with its technological infrastructure. The characteristics of states and exploitation activities. Reference to teaching results for a module 2 Creating simplified material-energy-information models for the selected

transport system. Identifying exploitation costs of road vehicles. 3 The application of time series analysis in the form of a multiplication model to test and forecast the variability of the selected power supply sources in transport. 4 Identifying incomes and costs in the selected business entity. The division of costs: fixed, variable, direct, and indirect. The classification and application of various division keys. The ABC method. Break Even Point (BEP). Examining project sensitivity. 5 An example of the application as regards the scenario method. The characteristics of stages concerning creating scenarios. Scenario-strategy relationship. Practical recommendations of applying the Deplhi method in forecasting important phenomena. 6 The application of the TOWS/SWOT analysis to analyse and diagnose the functioning of a transport enterprise as well as strategically plan further development. Practice as regards building eight tables to determine the hierarchy of the factors and reactions taking place between them. Calculations on conducting a qualitative analysis in order to rationally manage organization. Remarks concerning probable strategy changes in a determined time horizon. 7 A written test. 8 Accepting a detailed plan concerning investment in kind which is connected with purchasing means of transport (taking exploitation costs into consideration). The formalization and algorithmisation of decision models created independently by students. The application of decision dendrites. The examples of decision support with the use of various criteria. 9 Project realisation part 1. Economic analysis concerning enterprise functioning. Income and cost accounting. Cost analysis: fixed, variable, direct, and indirect. The classification and application of various division keys. The ABC method. Break Even Point (BEP). Examining project sensitivity for the selected model parameters. 10 Project realisation part 2. Calculating economic effectiveness concerning the purchase of means of transport including exploitation costs. Applying investment project absolute effectiveness with the use of the methods to determine the rate of investment return and accounting rate of return. The application of accounting which concerns relative effectiveness of investment projects, using the following methods: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). Selecting an optimal project and preparing conclusions. 11 Project realisation part 3. Selecting investments with the use of the chosen decision-making criterion, taking risk into consideration. The structure of the decision task calculating and estimating the forecasted costs for the assumed levels of power supply and forecasted incomes for the assumed states of economic condition on the transport services market. 12 Calculating profits (or a different benefit function for the subsequent exploitation years). Calculating the expected monetary value for each investment project variant. Selecting an optimal project and preparing conclusions. 13 A written test (a final test). 14 Checking projects - part 1.

15 Checking projects part 2 and obtaining a credit for the subject. The methods of assessing teaching results Effect symbol A written test A final test A written test A final test Methods of assessing teaching results (assessment method, including skills reference to a particular project, laboratory assignments, etc.) Observing a student s involvement during the classes Observing a student s involvement during the classes STUDENT S INPUT Type of student s activity ECTS credit points Student s workload 1 Participation in lectures 15 2 Participation in classes 30 3 Participation in laboratories 4 Participation in tutorials (2-3 times per semester) 3 5 Participation in project classes 6 Project tutorials 7 Participation in an examination 8 Participation in a final test on laboratory classes 9 Number of hours requiring a lecturer s assistance 48 (sum) 10 Number of ECTS credit points which are allocated for assisted work (1 ECTS credit point=25-30 hours) 1.7 11 Unassisted study of lecture subjects 7 12 Unassisted preparation for classes 13 13 Unassisted preparation for tests 10 14 Unassisted preparation for laboratories 15 Preparing reports 10 16 Preparing for a final laboratory test 17 Preparing a project or documentation 10 18 Preparing for an examination 19 Preparing questionnaires 20 Number of hours of a student s unassisted work 50 (sum) 21 Number of ECTS credit points which a student receives for unassisted work (1 ECTS credit point=25-30 hours) 22 Total number of hours of a student s work 98 23 ECTS credit points per module 3.7 2.0

1 ECTS credit point=25-30 hours 24 Work input connected with practical classes 9 Total number of hours connected with practical classes 25 Number of ECTS credit points which a student receives for practical classes (1 ECTS credit point=25-30 hours) 0.3