Ders Planı

ISTANBUL AYDIN UNIVERSITY

CLASS 1

CLASS 4

Lesson plan /

Lesson Information

Course Credit
Course ECTS Credit
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator	Assoc. Prof. (Ph.D.) ILHAM HUSEYINOV
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	After completing this course, student will know basic comcepts of optimization problems, get practical skills to solve optimization problems with Excel Solver and Simplex methods. Apply this theoretical knowledge and practical skills to solving software optimization problems.
Course Content	linear and none-linear programming, integer programming, Excel Solver program usage, Simplex method, visualization techniques, sensivity analysis, Simplex method, decision trees, networks

Learning Outcomes

Adequate knowledge in mathematics, physical sciences and the engineering subjects of individual branches; the ability to implement theoretical and practical knowledge in the respective areas to modeling and solving engineering problems.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to design and conduct experiments for analyzing engineering problems or research subjects specific to the discipline, to collect data, to analyze and interpret the results.
Ability to use, choose and develop modern techniques and means required for engineering applications; ability to use information technologies effectively.
An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
Awareness of the necessity of lifelong learning; ability to reach information, follow the latest developments in science and technology; ability to ensure self-renewal perpetually.
Acting in line with ethical principles, sense of professional and ethical responsibility; knowledge on the standards of engineering applications.
Ability to work effectively in interdisciplinary and multi-disciplinary teams and individual works.
Information about the effects of engineering applications on health, environment and safety in terms of universal and social aspects and information about the problems of the era; awareness about the legal results of engineering solutions.
Ability to communicate efficiently both in oral and written ways in Turkish; knowledge of at least one foreign language; ability to effectively prepare reports and understand written reports, prepare design and production reports, effective presentation, giving and receiving clear and understandable instructions.
Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.

Weekly Course Subjects

1	Introduction
2	Formulations of linear and non-linear programs
3	Geometry and visualizations of linear programs
4	Excel Solver add-in
5	The simplex method
6	Sensitivity analysis and shadow prices
7	Game theory 1: 2-person 0-sum, or constant sum
8	Midterm
9	Practical examples with Solver program
10	Introduction to integer programming
11	Integer programming techniques 1: branch and bound
12	Integer programming techniques 2: cutting planes
13	Networks
14	Decision trees

Resources

1-Bradley, S. P., A. C. Hax, and T. L. Magnanti. Applied Mathematical Programming. Addison-Wesley, 1977. ISBN: 9780201004649.
2. Microsoft® Excel “Solver” Add-in: Solver.com

EUA Kurumsal Öz değerlendirme Programı İzleme Raporu