• Expected prior knowledge:
  1. Computer literacy skills.
  2. Basic knowledge related to Mining Engineering and Mineral Processing.
  
  
• Study goals:
  1. Acquisition of the ability to create utility applications in the C / C ++ and LabVIEW environment.
  2. Providing students with knowledge about embedded systems, their construction, selection of components, designing, programming and their exploitation.
  3. Familiarizing with the advances of technology & methods of future mining operations.
  4. Acquisition and consolidation of social competencies including emotional intelligence skills, involving the cooperation in the group of students aiming to effectively solve problems. Responsibility, honesty and fairness in the proceedings; observance force in academia and society.
  
  
• Course contents:
  Lecture
  1. Terminology (process, automation, robots, measurement devices, control systems). Definition of digital mine.
  2. Aims, benefits, drawbacks of automation. Industrial revolutions. Definition of industry 4.0. Overview of components of the 4th industrial revolution. Industry 4.0 and mining.
  3. Elements of technological process in mining. Automation of cyclic processes. Measuring technologies in industry 4.0. Sensors systems. Data transmission and data storage technologies. Analytics in industry 4.0. Industrial BigData, Cloud Computing.
  4. Industrial Internet of Things. M2M communication, anti-collision systems, location of people underground.
  5. Virtual and augmented realities for industry. Simulators. Digital Twin. Digital models of processes and objects. Management information creation systems, reporting.
  6. Case study: Automation in open pit lignite mining (KTZ, Autonomous haulage (use case from Australia) ).
  7. Case study: underground mine (Rock Vader – Sandvik project, other use cases from Sandvik, Epiroc, MineMaster, Zanam, AOT from ZGPS KGHM, KIC project on shaft inspection, …etc).
  8. Case study: mineral processing (ConVis, FlowVis) in KGHM, OPMO project.
  Laboratory classes
  1. Scope of the course, teaching purpose, crediting conditions, literature, data. Introduction to ARDUINO.
  2. Basic sensors for physical parameters measurements.
  3. Measurements in Labview.
  4. Analysis and Visualization in Labview.
  5. Control in labview.

   

• Expected prior knowledge: Basic knowledge of issues related to ecology and environmental protection.
  
  
• Study Goal: 
  To get students acquainted with systems of environmental management both in Poland and other EU countries.
  To prepare students for rational and sustainable management of environmental components.
  To get students acquainted with the genesis of environmental management systems in Poland, review and standardization of environmental management systems.
  To get students acquainted with benefits and obligations arising from the implementation of an environmental management system.
  To present the relationship between an environmental management system and a quality management system.
  To provide an overview of informative methods of supporting the implementation of environmental management systems (possibilities and practical usage of computerised systems of environmental information management, decision support in the area of environmental protection and choice of methods and tools used to support the implementation of an environmental management system).
  
  
• Course contents: 
  1. Basic concepts: – Environment, characteristics of individual elements of the environment – Characteristics of hazards for the natural environment which are a result of human activities – Environmental Management – The Environmental Management System.
  2. Legal aspects of environmental management.
  3. History and development of environmental management systems.
  4. Environmental management systems: – Business Charter for Sustainable Development of the International Chamber of Commerce – ICC Business Charter for Sustainable Development – EMAS – Directive of the European Community Commission regarding the approval for voluntary participation by organisations in a community ecomanagement and eco-audit scheme – CP – Clean Production – BS 7750 – Specification for Environmental Management Systems – ISO 9000 – ISO 14000 – ISO 14001 Characteristics of selected Environmental Management Systems. The benefits of the implementation of the EMS for a company. Experiences of Polish enterprises from the implementation of EMS. Process of implementation of the selected EMS in a company with an example of EMAS.
  5. Basic tools of environmental management: – Legal and administrative instruments (laws, standards, licenses and permits) – Economic instruments (fees, taxes, deposit and refund systems, transferable rights, subsidies, liens, fines) – Instruments (techniques) social impact (ecological education, ecological propaganda) Examples of basic tools of environmental management: – Procedure for an assessment of environmental impact – Integrated permits – Audits – Safety Reports – Monitoring of the Environment.
  6. Design of an environmental management system.
  7. IT systems supporting environmental management: – Decision Support Systems – Expert systems – Simulation Models – Geographical Information Systems Selected types of information systems which support environmental management, their characteristics, examples of implementation both in Poland and in the world.
  8. The benefits of an implemented and functioning environmental management system.
  9. Costs of implementation and functioning of an environmental management system.
  10. Environmental management systems in practice.
  Seminar
  1. The scope and form of an essay and presentation, terms of crediting and literature. Assignment of seminar topics for individual students.
  2. Student speeches with the use of multimedia presentations on the following issues: environmental management systems – specified examples, formal and legal conditions of administrative procedures (eg. receiving a decision on the environmental conditions of a project, an integrated decision etc.), life-cycle analysis of a selected company; fees, taxes, surcharges and environmental deposits; litter management systems, mineral resource management, renewable energy sources, selected monitoring systems, the institution of environmental protection in Poland and in the world and also alternative energy sources, etc. Group discussion on the content and form of speeches.

• Expected prior knowledge: Fundamentals of mineral processing and waste.
  Basic knowledge of mathematical statics, line programming, programming in VBA.
  
  
• Study Goal: Presenting production issues in the mineral industry as an optimization problem of managing the operation of complex technological systems.
  Familiarising students with modern methods of off-line analysis of complex systems, mineral processing and waste.
  Creating skills to construct simple models and algorithms for mining operations and tailings and their implementation using a spreadsheet supported by VBA program.
  Creating skills to prepare and present reports of performed analyses and projects.
  
  
• Course contents:
  Lecture
  1. Scope of lecture, crediting conditions, literature overview. Profile characteristics of the course and the aims and methods of education. Linking the course problems with the course profile and educational programs of other courses of particular specialty and the field of study.
  2. The basic structures of mining, coal preparation and processing systems on the example of the construction materials industry, mining ore and coal, metallurgy, waste management.
  3. Types and systematics of operations, information operations model, the concept of system and process operations, performance, efficiency, reliability, productive hours.
  4. Methods and tools for the analysis of complex systems operations. Spreadsheet as a calculation tool (functions, VBA)
  5. Modelling crushing operations, crushing machine models, methods and problems of experimentation.
  6. Modelling of classification procedure (separation), classifier / separator models, methods and problems of experimentation.
  7. Methods of simulation of the quantitative operations processes (mass flow in systems, tanks, and machines)
  8. Knowledge control – test.
  Project
  1. Introduction to the project: assumptions, aims, form, schedule.
  2. Checking the initial knowledge of the students in auditorial mode.
  3. Solving simple calculation using a spreadsheet (functions, calculus matrix).
  4. Duty hours and exercises checking the knowledge of mathematical statistics (grain size) and the ability to operate on sets.
  5. Handing out tasks and explanation for individual work (system analysis operations: different structures, different technologies, and different models). Variable catalogue of exercises, adjusted to current students level of knowledge and skills of).
  6. Algorithmization and programming of tasks examples concerning the grain analysis in VBA – exercises on auxiliary examples.
  7. Individual work: the construction of models of a given operation, individual duty hours.
  8. Individual work: analysis (optimization) of given operation systems according to qualitative, quantitative and economics criteria, monitoring the performance, individual duty hours
  9. Presentation/project defence of ready-made projects by students. Project settlement (course crediting). Partial crediting.
  10. (to be continued) Presentation/project defence of ready-made projects by students, including repeats. Project settlement (course crediting). Partial crediting.
  

• Expected prior knowledge: Possesses fundamental knowledge of widely concerned mining, as one of the most important fields of technology and human activity, knows problems related to minerals search, sharing and mining.
  Possesses knowledge of basic concepts of geology and systematized knowledge regarding resources and minerals mining in Poland.
  Is able to use Microsoft Office to prepare Word documents and work with the spreadsheet Excel.
  
  
• Study Goals: Introduction and explanation of problems related to technology of mechanized mining machines of different types and size used in open pit mining.
  Becoming familiar with the relationships between parameters characterizing the geometry of the workplace and the proces of digging, controlling machine work process in order to achieve the proper efficiency level and forecasting the efficacy in different geological -mining conditions.
  Preparing students to particular tasks completion in the area of work technology and the choice of technological system for the project of excavation and carrying out technological analysis of bucket-wheel excavator work.
  
  
• Course Contents:
  Lecture
  The scope of the course. The aim of the course, conditions of crediting, literature, contact with the teacher. Basic concepts, definitions related to open pit exploitation of deposits, basic technological systems.
  Basic technologies of open pit exploitation ( cintinuous, cycle, mixed), the ways off dredging and exploitation.
  Bulldozers work technologies, the range of applications, divisions.
  Efficiency work forecasting of bulldozers, the resistance movement, cooperation with the base.
  Bucket-wheel excavator work technologies, the range of applications, divisions according to different criteria.
  Efficiency work forecasting of a bucket-wheel excavator using chosen methods, the resistance movement, cooperation with the base.
  Scraper work technologies, basic parameters, the range of applications, division, efficacy.
  Ripper work technologies basic parameters, the range of applications, division, efficacy
  Loader spoon work technologies the range of applications, division, efficacy.
  Multi-bucket-wheel excavator work technologies, basic parameters, the range of applications, division, and work principles
  Multi-bucket-wheel excavator work technologies, types of shortwalls.
  Efficiency work forecasting of multi-bucket-wheel excavators, digging resistance, cooperation with the base.
  Multi-bucket-chain excavators work Technologies.
  Efficiency work forecasting of a multi-bucket-chain excavators, digging resistance, cooperation with a base.
  Heaping in open pit mining, types of heaps, KTZ, Heping with the metod of direct tossing.
  Project
  Organization o classes. The scope of the Project, conditions of crediting, literature. Distribution of topics among students. Discussing the guidelines for the project titled: The excavation project, bulldozer and bucket-wheel excavator work technology.” Discussing the first stage of the project task, determining mining area and also the issue of the multilevel excavation embankment design on the slope.
  Discussing the guidelines to the choice of a bulldozer as a machine which enables an access to the deposit.
  Discussing issues related to an overlay indirect heaping in the excavation neighbourhood and the bulldozer work efficiency forecast.
  Discussing the choice of a bucket-wheel excavator as a basic machine used for mineral dredging, designing the division of an excavation into floors. Discussing the problem of bucket-wheel excavator work forecasting using JLC method and its cooperation with car transport.
  Students hand over projects- assessment and defence. Discussing the scope of project 2. Distribution of individual topics among students. Discussing the guidelines for the project: “Technological analysis of bucket-wheel excavator SRs…”
  The core of shortwall system, discussing Basic parameters of a shortwall, defining the dredging radius and the angle of inclination of dredging jib in the function of dredging height and limit angles of the inclination of the side embankment of a shortwall in the function of its height. Determining maximum distance of an axis of an excavator route from internal side embankment in the function of shortwall height and presumed inclination of a side embankment, determining the minimum inclination of a side embankment in the function of a shortwall height and the distance of an axis of an excavator route from internal side embankment.
  Discussing the outer bottom width of a shortwall in the function of bottom outer angle of rotation of a dredging jib; the outer top width of a shortwall in the function of top outer angle of rotation of a dredging jib, the inclination of a side embankment and the height of a shortwall. Determing the outer top width of a shortwall in the function of the outer bottom angle of rotatation of a dredging jib, the inclination of a side embankment of a shortwall when the inner top angle of rotation of a dredging jib equals 900.
  Determining the width of a shortwall in the function of the outer bottom angle of rotation of a dredging jib, with the limiting slope of a side embankment depending on the height of a dredging floor together with the limiting slope of a forehead embankment of a shortwall in the function of its height.
  Determining two maximum values of a take: considering the slope of the forehead embankment because of the ability to drive to the forehead of shortwall and because of the possibility of the contact of a dredging jib structure with the upper edge of the second level in a shortwall. Determining the angle of inclination of the jib structure axis in the function of the height of a bucket wheel axis and also the angle describing the dimension of a lower piece of a dredging jib structure.
  Forecasting the SRs efficacy considering particulr groups of factors, dermining the individual digging resistance and digging force in given geological-mining conditions. The final calculations concerning side and forehead shortwalls, discussing the graphic form of a project.
  Student hand over Project – assessment and deffence.

• Expected prior knowledge:
  1. The student has basic knowledge of mining systems, technological and organizational systems in mining
  2. The student has basic knowledge concerning economics in mining
  3. The student has basic knowledge concerning mathematical analysis necessary to understand mathematical issues in science having engineering and economic character
  4. The student has basic knowledge and skills of using probability theory models and mathematical statistics
  5. The student can use Excel spreadsheet
  6. The student understands the need and knows the possibilities of lifelong learning, improving professional, personal and social skills
• Study Goal: Acquiring basic knowledge, taking into consideration its application aspects concerning mathematical decision models used in management:
  – Linear programming models
     Models of planning, deposits and costs of projects
     Queuing system models
     Digital simulation models
  – Learning of qualitative understanding, interpretation and quantitative analysis with applications of selected issues concerning optimization
      Production systems:
      Transport issues
      Flows in networks.
      Project schedules
      Queuing system models
  Acquiring and consolidating the competencies of thinking and acting in a system way.
• Course contents:
  Lectures
  Lec 1 Introduction to modelling systems 2h
  Lec 2 Linear programming issues – optimization of production 2h
  Lec 3 Linear programming issues – flow in networks optimization (optimal allocation issues, the issue of transportation, maximum flow, minimizing costs) 2 h
  Lec 4 Projects scheduling using critical path 2
  Lec 5 Planning and balancing of deposits in projects 2h
  Lec 6 Optimization issues of queuing systems 2 h
  Lec 7 Monte Carlo methods and digital simulation 3h
  Total hours 15
  Laboratory classes
  Lab 1 Defining and solving linear programming issues (Microsoft Excel-Solver) 2 h
  Lab 2 Production optimization (Microsoft Excel – Solver) 2 h
  Lab 3 Flows in networks optimization (Microsoft Excel – Solver) 2 h
  Lab 4 Projects scheduling (Microsoft Project) 2 h
  Lab 5 Planning and balancing of deposits in projects (Microsoft Project) 2h
  Lab 6 Optimization issues of queuing systems (Microsoft Excel) 2 h
  Lab 7 Elements of Monte Carlo methods and digital simulation (Microsoft Excel) 3 h
  Total hours 15h
  

• Expected prior knowledge: Mathematical Statistics, Fundamentals of Geology and Mineral Deposits.
  
  
• Study Goals: Developing basic skills in computer modelling of 3-D objects. Introduction of the principles of digital modelling of typical geological structures. Introduction to the methods of deposit parameters estimation and resources evaluation.
  
  
• Course Contents: 
  1. Methods of creating, editing, managing and presenting of 3-D objects for the needs of modelling geological structures.
  2. Building of digital 3-D models of geological structures on the basis of geological interpretation. Analysis of developed models.
  3. Introduction to estimation methods of deposit parameters.
  4. Principles of geostatistics. Kriging estimators.
  5. Geostatistical modelling of the selected deposit parameters.
  6. Resources evaluation.
  
  The modelling is supported by the specialized, three-dimensional software (Datamine or Geovariances) which provides the suitable software environment. The final project is presented both in the form of 3-D models and reports.

Expected prior knowledge:
Probability and statistical models.
Standard office applications for Windows.

Study Goals: The course combines two groups of topics: basics of mineral economics and financial management and introduction to project management.
Part A: The purpose of the course is to introduce the concept of time value of money and present the methods used to evaluate investment projects. Different techniques are illustrated by examples and case studies. The range of application as well as the advantages and disadvantages of each method are discussed. The issues of inflation and risk analysis are included.
Part B: Introduction to project management basic concepts, methods and tools. Presentation of given project management areas: Project scope management, Project time management, Project cost management, Project risk management. Project planning, scheduling and control using Microsoft Project. Presentation of the issues of effective communication in project teams, group behaviour and leadership.

Course Contents:
Mineral Economics and Financial Management
1. Supply and demand, equilibrium price, changes in demand and supply.
2. Stock and commodity markets used by mineral industries.
3. Costs in economics and in accounting. Cost and money outflow. Relevant cost, incremental cost, marginal cost, alternative cost. Short-term decision making in mining.
4. Costs as the subject of cost accounting, different systems of cost accounting Different methods of cost data presentation (by types, divided into direct and indirect costs). Cost allocation
5. Variable and fixed costs. Break even point. Cost-volume –profit analysis.
6. Basics of financial accounting. Income statement and cash flow statement. Balance sheet. Working capital. Examples of financial statements of mining companies
7. Financial ratio analysis. Liquidity, profitability, activity and debt ratios. Calculation and analysis of financial ratios of mining companies. Financial and operating leverage
8. The concept of time value of money. Computation of future and present value of money by means of spreadsheet functions
9. Basics of capital budgeting. Evaluation of different methods. Computation by means of Excel-functions
10. Examples of mineral projects evaluation
11. The concept of risk and return. Quantification of risk.
12. Risk analysis in project evaluation: sensitivity analysis, scenario analysis, other methods.
Project management
1. Basic concepts (process, project, project management, management by projects, critical factors for project success, competences).
2. Preparing and initiation of the project. Project analysis (project environment, stakeholders, project objectives).
3. Planning and estimating of the project.
4. Project phases and life cycle.
5. Project organization.
6. Project scope management.
7. Planning of activities, resources and costs.
8. Project risk management.
9. Project monitoring.
10. Quality management. Change control.
11. Project communications. Project closing.
12. Project management methodologies.
Communication and Leadership in Project Management
1. Issues of understanding communication. Definitions. Models (Schramm model, Berlo’s SMCR (source, message, channel, receiver) model, McCroskey model, Reusch and Bateson model, Westley-MacLean model).
2. Conflict. Sources of conflicts. Kilmann and Thomas classification of conflict. Kilmann and Thomas test. Different styles of conflict solving. Roles of conflict in group development.
3. Team roles.Team roles Belbin perspective. Discussion group roles. Effective managerial behaviour in the context of team roles.
4. Leadership.Hersey and Blanchard theory. Black and Mouton approach to leadership. Fiedler theory and his Least Preferred Coworker Scale. Situational leadership self-assessment.
5. Summary.Effective managerial behaviour from the different contexts.

• Expected prior knowledge:
  Possesses basic knowledge of technologies used in open-pit mines and underground mines.
  Is able to use Microsoft Office environment to prepare documents in Word, multimedia presentations in Power Point and work with Excel spreadsheets.
  Is able to identify harmful, dangerous and nuisance factors in the workplace environment.
  
  
• Study Goal:
  To introduce the principles of occupational risk assessment in accordance with relevant standards.
  To present the principles of occupational risk assessment and the determination of admissibility with the use of STER software and the RISC SCORE method.
  
  
• Course contents:
  Lecture
  Definition of occupational risk. Legal basics of occupational risk assessment. Risk assessment methods. Course of occupational risk assessment. Information necessary for occupational risk assessment. Identification of harmful, dangerous and nuisance factors in the work environment.
  Estimation of occupational risk assessment and determination of admissibility. Corrective and preventive actions. Familiarising employees with the results of occupational risk assessment. Implementation of agreed corrective and preventive actions. Monitoring the effectiveness of implemented actions. Periodic occupational risk assessment. Harmful factors – identification and assessment of risks.
  Dangerous factors – identification and assessment of risks.
  Nuisance factors in occupational risk assessment: psychological burden, static burden, monotype.
  Methods of occupational risk assessment: STER software, the RISC SCORE method, written test.
  Laboratory
  Occupational risk assessment with the use of STER software for two work posts – description of work post, identification of hazards. Occupational risk assessment with the use of STER software for two work posts – estimation of occupational risk and determination of admissibility of harmful factors (dust, noise)
  Occupational risk assessment with the use of STER software for two work posts – estimation of occupational risk and determination of admissibility of harmful factors (vibration, chemical agents)
  Occupational risk assessment with the use of STER software for two work posts – estimation of occupational risk and determination of admissibility of dangerous factors (slippery or uneven surfaces, falling elements, moving parts, moving machinery and transported bimi items)
  Occupational risk assessment with the use of STER software for two work posts – estimation of occupational risk and determination of admissibility for nuisance factors (psychological burden, static burden, monotype).
  Occupational risk assessment for a selected work post with the use of the RISC SCORE method, presentation of executed exercises, test

• Expected prior knowledge: Remote Sensing, Basics of GIS.
  
  
• Study Goals: The course combines two groups of topics: introduction to satellite radar interferometry and introduction to map algebra and spatial statistics for determination and modelling of mining related ground movements.
  Part A: The purpose of the course is to introduce the students to the principles and applications of Interferometric Synthetic Aperture Radar (InSAR). It includes the sensor technology, platforms and data portals to retrieve data. Different techniques are illustrated by examples and case studies.1.
  Part B: The purpose of the course is to introduce the students to the principles and applications of map algebra and spatial statistics to determine surface deformation models and mining terrain parameters, as well as to construct relationship models between surface deformations and causative factors.
  
  
• Course Contents:
  Lecture (part A)
  1. Introduction to SAR
  2. Introduction to Interferometric Synthetic Aperture Radar (InSAR) processing
  3. Phase unwrapping – theory and practice
  4.Aplication of InSAR
  Lecture (part B)
  1. Introduction to spatial databases and spatial data integration
  2. Introduction to spatial interpolation methods
  3. Map algebra concept, operations and functions
  4. Basics of spatial statistics (exploratory data analysis, spatial autocorrelation)
  5. Spatial regression analysis
  6. Geovisualisation
  Laboratory (Part A):
  1. Introduction to GMT/GMTSAR
  2. SAR Data Access
  3. SAR data calculations based on GMTSAR
  Laboratory (Part B):
  1. Choosing and using appropriate interpolation methods to create surface models from InSAR
  2. Applying map algebra functions to calculate ground movements
  3. Applying map algebra functions to calculate mining terrain parameters (vertical movement, tilt, radius of curvature, horizontal strain)
  3. Introduction to spatial regression models, exploratory data analysis
  4. Constructing spatial regression models for modelling ground movements
  5. Assessment and evaluation of results
  6. 2D, 3D and 4D visualisations
  The modelling is supported by specialized SAR data processing software (GMTSAR), FOSS GIS software (QGIS) and ESRI ArcGIS software.