Mathematical Modeling

Course Code:

ISE 427

Course Type:

Area Elective

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Prerequisite Courses:

Operations Research I

Course Language:

English

Courses given by:

Zeynep Gökçe İşlier

Course Objectives:

The gaol is to provide students the knowledge and abilities of modeling a problem with mathematical modelling techniques.

Course Content:

Linear Programming, Goal Programming, Integer Programming, Heuristics

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Use of simulations, 5: Problem solving assignment in the class, 6: Reading assignment, 7: Laboratory work, 8: Term research paper, 9: Presentati

Course Evaluation Methods:

A: Written exam, B: Multiple-choice exam C: Quiz, D: Experiment report, E: Homework, F: Project, G: Presentation by student

Vertical Tabs

Ders Tanimlari

Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
Identifies the application areas of Mathmematical Modelling.	1a, 2a, 6c	1, 2, 3	A, C
Identifies a problem.	1a, 2a, 6c	1, 2, 3	A, C
Identifies and uses the appropriate linear programming model for the problem.	1a, 1b, 2a, 2b, 3a, 3b, 4a, 6c, 11b	1, 2, 3, 5	A, C
Defines and applies the required solution approach for the problem.	1a, 1b, 2a, 2b, 3a, 3b, 4a, 6c, 11b	1, 2, 3, 5	A, C
Finding, reading, understanding and presenting an research article related with a mathematical programming problem using teamwork	1a, 2a, 6a, 7b, 7d, 7e, 8b, 9a, 11b	8	F, G

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to Operations Research	Textbooks, Course Notes
2	Introduction to Operations Research	Textbooks, Course Notes
3	Developing Linear Programming Models	Textbooks, Course Notes
4	Developing Linear Programming Models	Textbooks, Course Notes
5	Developing Linear Programming Models	Textbooks, Course Notes
6	Developing Goal Programming	Textbooks, Course Notes
7	Developing Integer Programming Models	Textbooks, Course Notes
8	Developing Integer Programming Models	Textbooks, Course Notes
9	Review and Midterm Exam	Textbooks, Course Notes
10	Developing Heuristics	Textbooks, Course Notes
11	Developing Heuristics	Textbooks, Course Notes
12	Case Studies	Textbooks, Course Notes
13	Paper Presentations
14	Paper Presentations and Review

Recommended Sources

RECOMMENDED SOURCES
Textbook	W. L. Winston, Operations Research: Applications and Algorithms, Thompson Brooks/Cole, 2004
Additional Resources	H. A. Taha, Operations Research: An Introduction, Pearson Education, 2007.

Material Sharing

MATERIAL SHARING
Documents	Lecture notes, https://coadsys.yeditepe.edu.tr
Assignments	Team project
Exams	Midterm exam, project presentation, quizzes (1-6), final exam

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Attandence	1	5
Midterm	1	25
Team Project	1	30
Quizzes	6	10
Total		70
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		30
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		70
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	√
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,	√
3b	Ability to apply modern design methods for this purpose.	√
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	√
4b	Ability to employ information technologies effectively.
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,	√
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,	√
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,	√
7e	Ability to give and receive clear and intelligible instructions.	√
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.	√
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.	√
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.	√
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Midterm	1	10	10
Project	1	10	10
Final examination	1	15	15
Total Work Load			133
Total Work Load / 25 (h)			5.32
ECTS Credit of the Course			5

Search form

Mathematical Modeling

Vertical Tabs

Ders Tanimlari