Software Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | ENS020 | ||||
Course Name: | Introduction to Optimization | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Departmental Elective | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Dr. Öğr. Üy. EMRE ÇAKMAK | ||||
Course Lecturer(s): | Asist. Prof. Dr. Emre Cakmak | ||||
Course Assistants: |
Course Objectives: | This course aims to understand basic quantitative techniques concepts and mathematical modeling, formulate the mathematical model, apply linear programming method to the real life problems and apply the simplex method the linear programming problems |
Course Content: | Introduction / The mathematical methods of operations research / Formulation of the mathematical problems / Solving the mathematical problems by graphical method / Integer Programming / Introduction the Excel Solver |
The students who have succeeded in this course;
1) Have knowledge about basic quantitative techniques 2) Able to develop mathematical model 3) Able to solve mathematical models with graphical 4) Able to solve some mathematical models by using the integer programming |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | The mathematical methods of operations research | |
3) | Formulation of the mathematical problems | |
4) | Formulation of the mathematical problems -II | |
5) | Solving the mathematical problems by graphical method | |
6) | Solving the mathematical problems by graphical method - II | |
7) | Midterm | |
8) | Integer programming | |
9) | Mixed Integer Programming | |
10) | Integer Prıgramming Examples | |
11) | Midterm - II | |
12) | Introduction the Excel Solver | |
13) | Solving the mathematical problems by Excel Solver I | |
14) | Solving the mathematical problems by Excel Solver - II |
Course Notes / Textbooks: | Winston, W.L. (2004). Operations Research: Applications and Algorithms, 4th Ed., Thomson Learning. Hillier F.S. and Lieberman, F.S. (2015). Introduction to Operation Research, 10th Edition, McGraw-Hill Education |
References: | Lecture Notes |
Course Learning Outcomes | 1 |
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Program Outcomes | |||||||||||
1) Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |||||||||||
2) Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |||||||||||
3) Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |||||||||||
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively. | |||||||||||
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics. | |||||||||||
6) Ability to work effectively within and multidisciplinary teams; individual study skills. | |||||||||||
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |||||||||||
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |||||||||||
11) Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
3) | Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | |
4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively. | |
5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics. | |
6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | |
7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
11) | Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions. |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 2 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 14 | 2 | 28 | ||||
Quizzes | 2 | 15 | 30 | ||||
Midterms | 1 | 20 | 20 | ||||
Final | 1 | 35 | 35 | ||||
Total Workload | 113 |