Code IE 311
Term 201802
Title Operations Research I
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Burak Kocuk burakkocuk@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Prerequisites
(only for SU students)
ENS208 MATH201
Mode of Delivery Formal lecture,Interactive lecture,Recitation,Laboratory
Planned Learning Activities Interactive,Task based learning
Content

Linear and integer programming formulations; convex analysis; algorithmic design and the simplex method; duality and sensitivity; computer implementations.

Learning Outcome

Model linear decision problems into an integer or continuous linear programming model.
Solve linear programming problems by means of the primal and dual simplex methods and be able to decide under which conditions one should apply which method.
Have a basic knowledge of the concept of duality in linear programming and its consequences.
Implement linear and integer programming formulations in a programming language.

Programme Outcomes

 1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. Industrial Engineering Program Outcomes Required Courses 1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5 2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5 3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5
 Assessment Methods and Criteria Percentage (%) Final 35 Midterm 50 Exam 15
 Recommended or Required Reading Textbook Operations Research: Applications and Algorithms, 4th edition. W.L. Winston. Thomson/Brooks/Cole, 2004.