CENTER OF BASIC SCIENCES. STATISTICAL INDUSTRIAL ENGINEER (Plan 2006)

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1 OBJECTIVE To train professionals capable of solving management systems and processes problems in the area of manufacturing; trained in scientific, technical and human aspects that enable them to discover, process, analyze, synthesize and transmit information from the appropriate application of engineering techniques, statistics and mathematics, management and communication. APPLICANT PROFILE It is wanted that the applicant to the Statistical Industrial Engineer Bachelor Program would have: Ability for observation and analysis. Ability to understand texts. Knowledge and correct management of physical-mathematical concepts at a High school level. Liking for applying mathematics. Perseverance, discipline and order at work. GRADUATE PROFILE Knowledge: Mathematics: techniques and methods that allow you to create and understand formal symbolic models representing the behavior of real phenomena, associated with the posing and solving of problems related to the optimization of production processes. Statistics: methodologies and specific reasoning focused on general applications that allow the understanding of the multiple phenomena of uncertainty in manufacturing systems and confidently answer questions about optimizing processes and improving their quality, from the description to aspects of design and experimentation, statistical and process modeling, control and prediction. Engineering: practical techniques for planning, analysis and interpretation, evaluation and assessment, design, decision making, implementation and monitoring of projects, to design and manage projects related to investment optimization, plants, facilities, storage and material flow, workstations, maintenance, logistics, operations, measurement capacity and manufacturing systems. Accounting and Finance: basic principles to understanding the nature and use of money in an organized based capital system, and understand and perform the economic evaluation of engineering projects.

2 Philosophy and quality systems: concepts, techniques and models of total quality and continuous improvement, to perceive corrected development, impact and importance of the practical application, and size the significance of their profession regarding its function in a work environment. Communication: Communication functions, barriers to communication, interpersonal, group, organizational and mass communication; body language, reading skills, writing and syntax, oral expression, composition of technical and scientific documents and graphic exhibition, to develop a document or an individual exhibition correctly and appropriately. Computers and software: word processors, spreadsheets, designers acetates, Internet, etc., and statistical computing packages, simulation and engineering, to develop their ideas optimally; carry out complex calculations and solve practical problems quickly and correctly exploration and analysis. Innovative management models: Theory of Constraints, Knowledge Management, Balance Score Card, Value Engineering, Maintenance Management and Research Methodology. English: vocabulary, grammar and syntax to read and understand texts in their area of competence at an intermediate level. Abilities: Reflect and criticize the state of things in reference production systems based on a judgment of continuous quality improvement. Solve problems related to the optimal operation of manufacturing systems including those associated with process management and human capital. Make meaningful decisions about procedures affecting the quality and productivity of manufacturing systems. Prepare diagnoses of manufacturing systems in order to timely detect operational problems, which lead to the solution by using relevant strategies, comprehensively considering the technical, communication, management and environment. Select and evaluate the capacity and optimality of the technological elements, machinery and equipment necessary to perform the various industrial manufacturing processes that optimize the operation of production systems without damaging the environment. Design, implement and evaluate logistics projects that contribute to the improvement of the supply chain in manufacturing organizations, considering the technical, administrative and transportation factors, in order to achieve greater efficiency in distribution processes. Design, based on the basic principles of management and distribution of materials, strategies and procedures for maximizing resources related processes and packaging, from the perspective of integrity and stewardship of products and customer service.

3 Design, develop, manage and evaluate engineering projects, viable and effective, considering the relevant technical procedures, factors that contribute to industrial safety, quality and productivity and characteristics of the economic and social environment, anticipating and addressing environmental impact principles of social responsibility. Integrating human, economic and technological resources of an organization in order to help achieve their goals and projects with high levels of efficiency, quality and productivity, within a framework of respect for the dignity of persons. Understanding the relationship between an optimization problem in a manufacturing system and the application of mathematics to solve-statistic methodology. Designing statistical experiments in a specific context, to obtain reliable a competent information to make decisions. Measure scientifically and technically continuous physical attributes or characteristics of elements in a population. Determine and manage sampling, the methods of data collection and processing, for reliable and economic information. Provide appropriate statistical models for the analysis of data. Analyze bodies of statistical data, to make discoveries about the internal structure of the data. Interpret the results of a statistical analysis of data, to advice on the strengths and limitations of the results, and regulate the decisions and actions to take. Drafting and disseminating statistical reports, using associated data for manufacturing processes in general. Use appropriate software and simulation techniques to solve a problem associated with a manufacturing system. Attitudes: Commitment to your company. Cooperation with others for the good of the organization that they represent. Improve your knowledge according to the needs of your environment. Guide their participation and effort towards continuous quality improvement processes. Commitment to applying scientific methods and techniques.

4 FIELD OF WORK OF THE GRADUATE: In manufacturing, operations management engineer in the areas of planning, design, engineering, quality, etc. As a consultant in quality improvement. In the tertiary sector as a researcher and data analyst. In colleges and high school institutions, doing research activities. DURATION Ten Semesters CURRICULUM STRUCTURE PLAN 2006 FIRST SEMESTER 1. Statistics Workshop I CCB STATISTICS 2. Introduction to Engineering CCB STATISTICS 3. Quality Culture Studies CCEyA HUMAN RESOURCES 4. Algebra CCB MATH & PHYSICS 5. Differential Calculus CCB MATH & PHYSICS 6. Effective Communication Workshop CCSH COMMUNICATION SECOND SEMESTER 7. Statistics Workshop II CCB STATISTICS 8. Computing Science CCB INFORMATION SYSTEMS 9. Accounting CCEyA COUNTING 10. Integral Calculus CCB MATH & PHYSICS 11 Organizational Communication CCSH COMMUNICATION 12. Methods and Techniques of Research CCSH EDUCATION

5 THIRD SEMESTER 13. Probability CCB STATISTICS 14. Programming CCB INFORMATION SYSTEMS 15. Administrative Process CCEyA ADMINISTRATION 16. Production Systems CCEyA HUMAN RESOURCES 17. Costs CCEyA COUNTING 18. Linear Algebra CCB MATH & PHYSICS FOURTH SEMESTER MATERIA H/T H/P CREDITS SERIES CENTRE DEPT. 19. Statistical Inference CCB STATISTICS 20. Computational Simulation CCB INFORMATION SYSTEMS 21. Location, Distribution and Materials Handling CCEyA HUMAN RESOURCES 22. Finance CCEyA FINANCE 23. Physics I CCB MATH & PHYSICS 24. Vector Calculus CCB MATH & PHYSICS FIFTH SEMESTER MATERIA H/T H/P CREDITS SERIES CENTRE DEPT. 25. Sampling Theory CCB STATISTICS 26. Regression Analysis CCB STATISTICS 27. Engineering Economics CCEyA ECONOMY 28. Work Planning CCEyA HUMAN RESOURCES 29. Material Flow Management CCEyA HUMAN RESOURCES 30. Physics II CCB MATH & PHYSICS

6 SIXTH SEMESTER 31. Design of Experiments CCB STATISTICS 32. Statistical Process Control Workshop I CCB STATISTICS 33. Operations Management I CCEyA HUMAN RESOURCES 34. Work Measurement CCEyA HUMAN RESOURCES 35. Operations Research CCB MATH & PHYSICS 36. Values Education CCSH FILOSOFY SEVENTH SEMESTER 37. Multivariate Analysis CCB STATISTICS 38. Statistical Process Control Workshop II CCB STATISTICS 39. Stochastic Models I CCB STATISTICS 40. Seminar of Quality CEA HUMAN RESOURCES 41. Operations Management II CCEyA HUMAN RESOURCES 42. Project Evaluation CCEyA FINANCE EIGHTH SEMESTRE 43. Stochastic Models II CCB STATISTICS 44. Statistical Process Optimization CCB STATISTICS 45. Seminar of Statistics CCB STATISTICS 46. Maintenance Administration CCEyA HUMAN RESOURCES 47. Metrology and Standardization CCB MATH & PHYSICS 48. Optional Subject I CCB STATISTICS

7 NINTH SEMESTER 49. Reliability Theory CCB STATISTICS 50. Nonparametric Statistics CCB STATISTICS 51. Automation Principles CCB ELECTRONIC SYSTEMS 52. Seminar of Modern Tendencies of the Administration CCEyA ADMINISTRATION 53. Optional Subject II CCB STATISTICS TENTH SEMESTER MATERIA H/T H/P CREDITS SERIES CENTRE DEPT. 54. Advance Process Control CCB STATISTICS 55. Optional Subject III CCB STATISTICS 56. Design of Manufacturing Systems (Professional Practices) CCB STATISTICS SELECTED ELECTIVE COURSES Three selected elective courses will be offered in semesters from eighth to tenth, and comprise the following modules: MODULE 1: STATISTICS MODULE 2: COMPUTING INSTITUTIONAL PROGRAMS Professional Practices Social service Tutoring Mobility and Academic Exchange Encouragement of Foreign Languages Humanist Training Program (8 credits) GRADUATION REQUIREMENTS The university degree of the graduates of the Statistical Industrial Engineering shall be subject to the current regulation, according to the criteria of the legal framework of the Autonomous University of Aguascalientes.