4000
Courses attended by persons who joined the Master´s Degree Program in Industrial Engineering, who must revisit certain academic concepts to study the mandatory program subjects.
Credits
3
Instructor
Pinzon Salcedo Luis
The purpose of Thesis I is to introduce students to the theoretical framework of their thesis. To enroll to this subject, the student must have a counselor (a task to be achieved by the student), must complete the corresponding form and obtain the Coordination permit.
Credits
4
During the second Thesis semester, students will devote all their time to research. Should more time be required, a maximum term of one semester will be granted (grace semester). To enroll in Thesis II, students must have passed Thesis I and must have completed the corresponding form.
Credits
4
Instructor
Pinzon Salcedo Luis
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.
Credits
4
Instructor
Pinzon Salcedo Luis
This seminar offers the master´s degree program students the conceptual and methodological elements to formulate their preliminary graduation thesis project from a research question. It also develops certain strategies to write, review and present the preliminary project. The Research Seminar includes Industrial Engineering Seminars Cycle (CSII), which is a forum where students (undergraduate, master´s degree and doctorate) and professors interact and share research results. CSII also includes guest professors. There are three types of seminars: minor, master and activity reports of the research groups.
Credits
0
During the second Thesis semester, students will devote all their time to research. Should more time be required, a maximum term of one semester will be granted (grace semester). To enroll in Graduation Thesis II, students must have passed Thesis I and must have completed the corresponding form.
Credits
8
The purpose of this course is to help students acquire the knowledge and tools to allow their placement in the basic probabilistic model concepts, in order to succeed in the courses subsequently required.
Credits
3
Instructor
Pinzon Salcedo Luis
The purpose of this course is to help students acquire the knowledge and tools to allow their placement in the basic probabilistic model concepts, in order to succeed in the courses subsequently required.
Credits
3
Credits
2
Credits
0
Credits
8
The purpose of this course is to teach students to estimate the parameters of linear models in order to quantify ratios between variables, compare theories and effects of various factors, prepare forecasts and build behavior models. The most commonly used and popular techniques in the statistical field are analyzed, the application of which covers a wide variety of natural science and social areas to tackle, in more detail, problems related to decision theory, market research, quality control, management, project evaluation, finance, etc. The main subjects studied include multiple regression analysis and design models for variance analysis. Specialized software, such as SAS, SPSS, MATLAB and Econometric Views are used.
Credits
4
The course presents various optimization subjects, such as lineal programming, restricted optimization, whole and combinatory programming. Among these, some specific subjects include convex analysis, simplex model, degeneration, cycling, duality, sensitivity analysis, Karush-Kuhn-Tucker conditions, inner point algorithm, single-modularity, Branch and Bound method, implicit numbering, decomposition, matroids and non-lineal programming elements.
Credits
4
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.
Credits
3
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.
Credits
4
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.
Credits
4
Instructor
Akhavan Tabataei Raha
This course seeks to explain some applications related to mathematical Operations Research models. As pre-requisites, the course requires students to take optimization, probability and / or probabilistic courses and to have appropriate management of computer tools, such as general programming languages (C++, JAVA, Visual-Basic) and specialized languages for optimization problem solving (Xpress-MP, GAMS, AMPL). The course is divided in six modules: Plant Setup [FT], Colombian Industry Operations Research Applications [JFT], Vehicle Routing [CP], Operations Scheduling (Scheduling) [GM], Hospital Logistics [NV] y Decision-Making Models [CB].
Credits
4
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.
Credits
4
Instructor
Medaglia Gonzalez Andres
One of the most common problems for an engineer is to decide proportions, shape and materials for an element of a machine or structure, which have to support external forces during a lifespan without excessive wear, deformation or fracture. The purpose of this course is to provide at the student with bases on structural design unifying concepts from applied mechanics and science of materials.
Credits
3
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.
Credits
4
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.
Credits
3
Instructor
Medaglia Gonzalez Andres
The design of mechanical systems is the activity in which a Mechanical Engineer uses the principles of science to develop a product. This product can be a structure, a mechanism, a machine, a plant, etc., that satisfies the needs or desires of a customer. Such need define the design objective, requirements, restrictions, and/or criteria. Additionally, the system’s operating conditions and the capital available for its development must be considered.,English,-
The purpose of this course is to expose the students to the conditions under which mechanical systems are designed in a professional environment. Engineering problems must be solved in teams using the best information available, within a certain timestamp and with a limited budget. With this in mind, the course’s projects will be developed by teams of students.
Credits
3
Instructor
Correal Nuñez Maria
The course offers an analysis of manufacturing systems from the mathematical techniques standpoint (optimization and control) used to model and analyze the manufacturing production systems. It applies flow-shop and job-shop type systems and basic programming algorithms. Furthermore, it addresses topics such as flexible manufacturing, group technology, quadratic assignment methods and task sequencing, classic material management problems, queue and simulation models.
Credits
4
Credits
4
Credits
3
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.
Credits
4
Instructor
Pinzon Salcedo Luis
Credits
3
Instructor
Mejia Delgadillo Gonzalo
This course provides the student with the tools required for the design of experiments and analysis of resulting data applied to solving engineering problems. The purpose of the course is to learn how to plan, design and carried out experiments efficiently and effectively, as well as to analyze the data produced by the experiment to reach objective conclusions under conditions of uncertainty. Concepts developed under this course can be applied in the execution of engineering processes, including design and development of new products, process development and improvement of manufacturing processes.
Credits
4
Instructor
Akhavan Tabataei Raha
In this course, the student will learn how to use statistical tools and methods to facilitate the variables of processes observation, and their relations to find factors responsible for the low quality of products and industrial processes. The main objective of topics discussed is to promote a culture for continuous improvement through the implementation of a model based on defining, measuring, analyzing, improving and controlling.
Credits
4
Instructor
Akhavan Tabataei Raha
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.
Credits
4
This course teaches the fundamental math concepts needed for Systems and Computing Engineering. It provides a language that allows for the formal definition of models, reasoning over these models as well as understanding and carrying out proofs using this formal language. Specifically this course teaches the syntax and semantics of discrete math models such as sets, relations, functions, propositional and predicate logic and number theory. Proof techniques applied to these models are also taught.
Credits
4
Instructor
Velasco Nubia
Credits
4
Credits
4
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.
Credits
4
We constantly observe systems and establish differences among them, but have we reflected on the observer that observes these systems? The Cybernetics of the Cybernetics course (CC) is an invitation to question ourselves: What are the properties of the observer we are? From the CC proposal, the observer and the observed are developed in a reciprocal manner. In CC, participants, using the game as a learning tool, reaffirm themselves as observers. This reaffirmation is established in the course from conceptual perspectives and emotional willingness. Reaffirming the observers who participates in a system allows stipulating the purpose itself and responding for its actions. Consequently, the reaffirmation of the observer proposed in CC may also be seen as a management tool, by acknowledging that within organizations, this is just one of the observation positions present and that there is permanent interaction with other observations. The observation perspectives and the arrangements in game spaces give room for the possibility of organizational intervention.
Credits
3
Instructor
Bermeo Jose
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.
Credits
4
Instructor
Zarama Urdaneta Roberto
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).
Credits
3
Instructor
Pinzon Salcedo Luis
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.
Credits
4
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.
Credits
3
Dissolve Problems course: Criteria to Formulate Social Projects is created as a response to the need to clearly identify the underlying problem in a complex problematic situation, and to formulate projects that effectively contribute to solving it or dissolving it. The purpose of the course is to help participants identify the main problems of situations that they will face in their role as social planner at public or private entities, in order to prepare appropriate descriptions and, following the methodology suggested in this course, to respond basic questions, such as Why should such problems be faced? and What to do with respect to such problems? and, consequently, to design in a logic manner the projects that contribute to solving such problems or to dissolving the situations that led and maintain such problems. We expect students to develop the skills to observe and approach, in a methodical, creative and critical manner, the problem situations they will be faced with.
Credits
4
Credits
4
Credits
3
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.
Credits
4
This course presents the basic concepts of language theory through formalisms used to describe them (grammars) and the machines used to recognize them (automatons). We also show how these machines can be used in other domains. We also present other formalisms (Petri Nets), their definition implementation and fields of application.
Credits
3
Instructor
Zarama Urdaneta Roberto
Study the basic computer architecture, its components, description, function, and interaction among them. The student gets the basic language, concepts and tools to analyze computer infrastructure in terms of performance and liability. Case study: Intel Architecture for 32 bits (IA32)
Credits
3
This course is located on the training and innovation projects line in the engineering program at the Universidad de los Andes. After the first semester experience in development projects with ExpoAndes, for a semester students will work on the definition and development of innovative projects with information technology. These projects have the ambition to be sustainable over time and internationally competitive.,English,-
This dynamic must be reinforced with the knowledge and skills acquired in the second half of the engineering education. The activities of the students in the graduation project, which has a vocation of synthesis, can be a success factor for some of these projects started in this course, so they might be able to find a space in the business world and/or academic.
Credits
3
The course offers appropriate methodologies to analyze and solve problems related to uncertain decisions, and emphasizes on the importance of using structured methodologies and appropriate tools to support the rational decision-making process in organizations. Topics addressed include structured methodologies for the analysis of decision-making problems, models and basic tools for decision analysis: benefits matrix, probability trees and influence diagrams, utility theory: classification of a decision-maker with respect to his attitude towards risk: utility function, risk premium and risk aversion function, basic Bayesian statistic elements and hierarchical analytic process: introduction to the games theory.
Credits
4
Instructor
Castillo Hernandez Mario
The Risk Financial Management course is an advanced finance course that assumes that students have had a minimum exposure to basic micro-economy and macro-economy concepts, particularly in those aspects pertaining to utility functions, risk aversion and financial market balance. On the other hand, concepts on the assumption of basic statistics, finance and mathematics tools knowledge, particular intensive work will be conducted with models and tools that imply a minimum knowledge of concepts, such as random variables, statistical moments of first and second order, linear regression and time series, as well as the basic calculus and lineal algebra concepts. The course approach is clearly quantitative, with respect to what is currently known as "finance in continuous time " however, discrete binomial tree models will also be intensively used. However, the course is not an stochastic calculus course in finance, and neither a derivatives course.
Credits
4
Instructor
Villarreal Navarro Julio
Credits
3
Instructor
Pinzon Salcedo Luis
Credits
3
Instructor
Garcia Arango Alberto
Credits
3
Credits
4
Instructor
Pinzon Salcedo Luis
Credits
2
Instructor
Pinzon Salcedo Luis
Credits
4
Credits
3
Instructor
Pinzon Salcedo Luis
Credits
3
Credits
3
Instructor
Pinzon Salcedo Luis
Provide MSc with an overview of the state of the art in various aspects of the Oil industry business, with emphasis on engineering design, planning and operation of industrial facilities. The visit will expose student to state of the art presentations on several topics of current interest and allow them to visit existing industrial facilities over a three-week period.
Credits
3
Instructor
Pinzon Salcedo Luis
Credits
3
Instructor
Romero Andres
Credits
3
Instructor
Villarreal Navarro Julio
The goal of this course is to study the more important aspects that must be considered for choosing and maintaining the computational infrastructure for supporting the activities of a project or enterprise,English,-
The main problems that are considered are: capacity planning, transactions security, performance evaluation and servers securing. Additionally, other topics related to the above mentioned problems are studied: concurrency, deadlocks, asynchronous programming, virtual memory, file systems, machine states, memory protection and virtual machines.
Credits
3
Instructor
Gomez Ramirez Jorge
This is a first course of computer networks. Under a top-down approach, it presents each one of the levels that compose the protocol stack of a network, with special emphasis in TCP/IP that is in the base of the Internet. TCP/IP is used like example of real implementation of the fundamental concepts of networks, without forgetting the protocols and implementations of different network architectures. Specificities are additionally introduced to understand how to adapt these concepts to new technologies like wireless networks. Special emphasis is put to understand the impact on both security and performance of current networking implementations.,English,-
The course has two equally important components: theoretical lectures and practical laboratories. Laboratories not only illustrate the practical part of the most important concepts seen in the theoretical classes, but also they complement in themes that seek to give to students new skills useful in the practice of the profession.
Credits
3
Instructor
Jimenez Nestor
Credits
3