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Code IE 303
Term 201701
Title Decision Economics
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) Bulent Sezen bsezen@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
--
Mode of Delivery Formal lecture,Recitation
Planned Learning Activities Communicative,Discussion based learning
Content

Time value of money; discounted cash flow analysis; break-even analysis; evaluation of alternative capital investment proposals considering depreciation, inflation, taxes; make or buy analysis; replacement analysis; bonds, stocks, and options; decision making under certainty and risk.

Objective

To introduce students the basic principles to be used in analyzing the economic viability of an engineering project.

Learning Outcome

Apply equivalent worth methods and rate of return methods to determine the best alternative to carry out an engineering project;

Carry out interest computations and conversions;
Compute after tax cash flows;
Use spreadsheets to conduct engineering economic analysis;
Identify the relevance of engineering economics analysis in everyday life;
Appreciate the use of spreadsheets in engineering economic analysis;
Identify relevant problems that need engineering economic analysis;
Use the methods and concepts with real life data.

Programme Outcomes
 
Common Outcomes For All Programs
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. 3
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3
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
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3
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. 2
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 3
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3
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. 2
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. 1
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 1
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 4
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. 4
Common Outcomes ForSchool of Management
1 Demonstrate an understanding of economics, and main functional areas of management. 5
2 Assess the impact of the economic, social, and political environment from a global, national and regional level. 4
Industrial Engineering Program Outcomes Core Electives
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. 3
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 4
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 3
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Mechatronics Engineering Program Outcomes Area Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1
Assessment Methods and Criteria
  Percentage (%)
Final 60
Midterm 40
Recommended or Required Reading
Textbook

Engineering Economy; William G. Sullivan, Elin M. Wicks, C. Patrick Koelling, Pearson, 15th Edition.