IIND - Industrial Engineering
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3
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Simulation enables the study of the behavior in a real system or a system proposed under present functioning conditions or under different operating scenarios. It finds increasing applicability s due to its high versatility, the inherent complexity reached by numerous modern systems, and the growing computing capacity, among other reasons. This course is oriented to manufacture and service system simulation, although it is also applicable in many other areas. Discrete simulation is highlighted but continual simulation elements are also included. Aspects such as modeling, experimentation, input and output information analysis, random variables generation, and variance reduction techniques, among others, are addressed.
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3
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Cabrales Arevalo Sergio
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3
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3
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3
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3
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3
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3
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3
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The course objective is to guide the student in his/her graduation work proposal presentation using the proposal presentation methodology, in order to structure the problem and solution knowledge gained, thus enabling research development. Based on the information supplied in the classes and through the electronic media, present to the student the elements that will allow analyzing and develop his/her graduation proposal. With the practical theory exercise, each student must prepare his/her proposal on a topic defined by him/her, and will arrange for the counseling of a professor from the Department to develop his/her research.
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This course focuses in the development of models that represent systems that change through time (dynamic) and mostly whose states depend on random phenomena (stochastic). The main focus will be on simulation in discrete time and event driven. This has great application in Engineering and related areas for efficiency and versatility in modeling various types of systems, most of them inherently complex. Although the course focuses on discrete event simulation, it also includes elements of continuous simulation, and other topics relevant support in the fields of probability and statistics, data analysis, optimization, among others.
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The current globalization and expansion trends experienced in modern economies have led many companies to develop flexible structures that will allow them to cope with the current situation or, otherwise, to disappear. Product differentiation is presented as a conclusive alternative to remain in the current market. The systematic development of products is the most adequate manner to ensure market penetration success and, therefore, for each market type and for each organizational culture type, there may be different development systems and models.
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3
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3
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The intent of this course´s development is to offer the student a global quality function approach within organizations, both industrial and service-oriented. This subject is not a mere extension of the Statistics courses, but a comprehensive way of thinking about Quality and of being capable of understanding and solving its main problems. However, the scope presented conveniently uses techniques and methods both, quantitative and qualitative, which include statistical tools.
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The logistics course includes different conceptual elements related to Supply Chain management. The basic components of the Supply Chain (customer service, transport management and inventory management) are analyzed from a systemic and integrator viewpoint. Students acquire Logistics Management skills, because they study the components and basic processes from an optimal management of suppliers, resources and customers’ perspective. Emphasis is made on the fact that the use of new information and communication technologies allows strengthening the efficiency of Logistics processes in the organization. Process integration models are studied, such the SCOR model, and logistics processes are modeled through the use of mathematical models in the transportation, supply chain strategic design and inventory topics. The analysis methodology includes workshops where the logistics reality is analyzed by studying Colombian companies’ cases. In such regard, students are stimulated to use previous knowledge acquired in inventory models, forecast techniques, cost analyses, transport models, optimization and simulation techniques, among other topics.
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0
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3
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The course allows:
1. Familiarize the student with the COOPERATIVE AND COMPETITIVE models of COLLECTIVE BARGAINING and to provide him with the required tools that allow him to perform better in these processes in order to celebrate WIN-WIN labour agreements.
2. Evaluate the role of trade unionism in Colombia taking in consideration the economic, technological and social context.
3. Enhance the student's negotiation skills and teach him how to take advantage of his emotional intelligence in the management of labor conflicts.
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3
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The purpose of the course is to introduce the student to the industrial relations field and its work implications to create abilities and skills that will allow him to better understand the human and organizational management problems. Contributes to the inter-disciplinary education of the future engineer by providing the tools required to effectively administer an industrial relations system at macro-economic and micro-economic levels.
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3
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The strategy course includes many concepts related to the development of a strategic plan in an organization. Throughout the course, basic components that make up strategy are thought (Mission, Vision, Delta Model, planning, Balance Score Cards and knowledge management among others). The main objective of the course is to create a context in which students use organizational strategic tools from a systemic perspective to develop the ability of the students to make strategic decisions. This is done through a simulation that lasts one semester in which students must make decisions every week.
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3
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3
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3
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3
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3
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6
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3
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4
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8
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2
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8
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4
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4
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The purpose of this course is to train students on how to manage useful statistical techniques to explore and model data collections, characterized by a large number of variables taken from a wide set of observations. The course content includes multi-varied measuring comparison, case study and tests of hypothesis of major interest, profiles and contrasts, analysis of main components, factorial analysis, correspondence analysis, and other segmentation methods, Conjoint Analysis, case presentation and analysis using the techniques and models studied.
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4
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A balanced consideration of factors influencing future events and perfect familiarity with the various existing forecasting techniques are required in order to properly make a forecast. The course’s main objective is studying techniques and tools which allow identifying the behavior or pattern of a time series (observations or data taken periodically throughout time) in order to predict its future behavior. The course has three modules: in the first one a review is made of the fundamentals of traditional forecasting methods for trend processes and for processes exhibiting some sort of seasonal pattern, in the second, ARIMA models and their GARCH extensions and transfer models are presented, the third module alternates sessions presenting cases illustrating the construction, identification and validation phases of the model with workshop sessions making extensive use of computers. Prerequisite: Linear Models or solid knowledge of statistics.
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4
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The objective of this course is to introduce modeling and optimization of stochastic systems with
IIND-2104 as the prerequisite. The course will focus on formulation and analysis of industrial systems with stochastic components using analytical techniques such as continuous-time Markov chains, queues with batching, priorities, balking, open/closed queuing networks among others. Stochastic optimization techniques such as Markov Decision Processes and Stochastic Dynamic Programming will be discussed to conclude the course.
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4
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Instructor
Akhavan Tabataei Raha
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4
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Students who have demonstrated responsibility and interest for a specific area are offered this alternative, which gives them the opportunity to gain further knowledge of the area topics, under the guidance of a department professor. To take this course, the authorization of the academic coordination is required.
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4
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The general objective of this course is to give the students an integral view of systems and general industrial equipment for energy conversion (be it supply or consumption equipment). The student will use the general engineering fundamentals to analyze the performance of such systems and prime movers. The course is oriented towards the knowledge development for analysis, design of energy conversion systems, frequently used in industry.
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4
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This course introduces common technological methods involved in manufacturing and processing of products, made with different engineering materials. In order to achieve these objectives, the student will attend tutorials and discussion classes and will make guided investigations in the commercial and industrial environment. He also will participate in laboratory practice guided by the professor, class monitor or specialized technicians.
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4
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4
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4
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4
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4
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4
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4
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Students who have demonstrated responsibility and interest for a specific area are offered this alternative, which gives them the opportunity to gain further knowledge of the area topics, under the guidance of a department professor. To take this course, the authorization of the academic coordination is required.
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4
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Instructor
Pinzon Salcedo Luis
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4
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This purpose of this course is to lead the student in the application of advanced statistical methodologies to determine the conditions under which an industrial process must operate. Topics are related to quality management, data gathering, analysis of information, monitoring using control graphics, process capacity analysis, auto-correlation, among others.
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4
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4
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4
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4
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4
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The purpose of this course is to provide conceptual and methodological tools to understand, analyze, diagnose and redesign social organizations, and to promote the development of a self-management culture using the systemic approach, particularly the organizational cybernetics approach.
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4
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4
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This course seeks to explore new simple means - mechanisms and models - to interpret and work in complex systems through the use of tools, the design of which is based on cellular automaton and physical models, among others. Tools will be used and applied in Mathematics. To enroll in this course, students are expected to be competent in Physics 3, Differential Equations and Probability content. Compliance with these pre-requirements is subjected to the consideration and responsibility of each student. A master´s degree program student must observe the programs of these courses to establish his compliance with the pre-requirements.
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4
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This seminar contributes to the conflict understanding and to the negotiation processes and, this way, it allows moving ahead with the organizational process knowledge. The Organizational Metaphor methodology proposed by Morgan (1986) is followed, and work is carried out to propose an organization image seen as negotiation systems. In addition to the techniques and analytic skills that allow finding optimum solutions to problems, we must base ourselves on the fact that negotiation is the art and science implies ensuring agreements between two or more independent parties, therefore, the purpose of this course is to develop skills that allow negotiating the implementation of such solutions (or its subsequent modification, in accordance with the situation diagnosis).
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4
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This course covers decision-making in negotiation processes and general dispute resolution. The course explains how the different decision-making techniques can be used in dispute resolution processes. Special emphasis is made on how the use of different rationalities can lead to different negotiation schemes. Throughout the course, the student designs and conducts a decision-making research in dispute resolution processes.
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4
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This course is part of a research project on social networks. The scope used to work in this research is the complex network theory. Attendees to this course are invited to actively participate in the research. The situations studied refer to the economic dynamics of the world system, to the development of urban spaces and to mechanisms of trust construction. The course pretends to present conditions that enable systemic setup relations among subjects, locations and countries. Those registered in the course may attend to the presentations of lecturers throughout the investigation, as well as to workshops, colloquium, seminars and other activities related and announced in advance.
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4
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4
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Basic concepts of algorithms design and analysis. At the end of the course the student should be able to apply developing techniques like divide and conquer, dynamic programming, and general search algorithmic, analyzing temporal and spatial complexity. Practical limitations for algorithmic solutions (e.g. NP-completeness) are studied at an introductory level.
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4
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The student enrolled in this course delves into a topic of interest, that is relevant to their research project but that is not covered by any course offered by the Department or by other university programs.
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The student enrolled in this course is developing an international research experience.
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The student registered in this course dedicates an equivalent time to 4 CR to advance in his research topic.
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4
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The student registered in this course dedicates an equivalent time to 8 CR to advance in his research topic.
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8
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The student registered in this course dedicates an equivalent time to 12 CR to advance in his research topic.
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12
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The student registered in this course dedicates an equivalent time to 16 CR to advance in his research topic.
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16
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