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Required prior knowledge: MIO012/MIOA01 Managerial Economics, Basic Course, FMS012 Mathematical Statistics, Basic course (or equivalent), FMA420 Linear Algebra (or equivalent). This course is designed to impact the way you think about transforming data into better decisions. The University frequently holds scientific events such as conferences, seminars, panels, congresses and symposia, and cultural activities such as exhibitions, stage performances and concerts. Operations Management is decision making involving the design, planning, and control of the many factors that affect operations. develop linear programming (LP) models for shortest path, maximum flow, minimal spanning tree, critical path, minimum cost flow, and transshipment problems. Learning Outcomes Hillier F. S. and G. J. Lieberman, Introduction to Operations Research, 10th edition, McGraw-Hill, 2015. The Operations Management degree program prepares students for M.A.T. 2. Learning outcomes. These methods will help the students to solve economic issues, which help to make a decision. These tools include mathematical programming, probability theory, statistics, stochastic processes, and simulation. Course General Objectives: The purpose of the course is to provide students with the concepts and tools to help them understand the operations research and mathematical modeling methods. Operations research analysts work with an organization to help improve its overall business operations. Learning Outcomes formulate and solve problems as networks and graphs. On successful completion of the course students will be able to: 1. Research Postgraduate Programmes. • Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. They create mathematical models to examine data that helps a business improve its efficiency, asset management, policies, and operational decision-making. Offered by University of Pennsylvania. Business Management Course Outcomes Business Management. Upon successful completion of this course, students are expected to have the ability to: • Describe and explain the fundamental components of a computer operating system. Course Outcomes. Clear articulation of learning outcomes serves as the foundation to evaluating the effectiveness of the teaching and learning process. MB204: Operations Research Course Objectives: 1 .To impart knowledge in concepts and tools of Operations Research 2. To impart knowledge about various tools in Operations Research to apply and solve real life problems in Engineering. MATH 112. Topics covered in this course include nonlinear optimization in one and multiple variables, unconstrained and constrained nonlinear programming, dynamic programming, discrete- and … It will introduce project management topics such as resources, costs, time constraints and project scopes. A basic understanding of quantitative techniques used to help in the management of business, industrial and organisational operations and projects. MATH 141. Operations managers apply ideas and knowledge to enhance product quality, improve customer service, increase productivity, manage supply chains, reduce costs, and improve flexibility to meet rapidly changing customer needs. The course Operations Research is a logical continuation of the subject Mathematics for Business II (2nd year, 4.5 ECTS, 1st Semester, mandatory) where some fundamentals of Operations Research and Simplex method is presented. Course objectives: The two Operations Research courses in ISE seek to introduce students to models commonly used in the analysis of complex decision-making problems. 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