COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
System Analysis CMS   347 5 2 2 4

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof.Dr. Belgin BAYAT
Instructors
Prof.Dr.BELGİN BAYAT1. Öğretim Grup:A
Prof.Dr.BELGİN BAYAT2. Öğretim Grup:A
 
Assistants
Goals
Understanding basic and importance of optimization techniques in the field of environmental applications. Gaining knowledge on optimization methods. Having ability to solve environmental problems in the area of water pollution, waste management,air pollution control usinglinear programming. Gaining knowledge on economical analysis techniques and economic analysis of environmental projects.
Content
System approach, Mathematical models and optimization, Introduction to optimization algorithm: Lagrange multipliers, Linear programming: Graphical and Simplex method, Introduction to engineering economics, Economic comparison methods

Learning Outcomes
1) Explanation of benefits of optimization techniques and application approaches
2) Description of system approaches
3) Linear programming methods and solving environmental problems using this techniques
4) Explanation of principals of economy in environmental engineering applications,interpretation of effect of time on economy
5) Explanation of economic comparison methods
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Becomes equipped with adequate knowledge in mathematics, science, environment and engineering sciences
X
2
Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences
X
3
Determines, describes, formulates and gains capabilities in solving engineering problems
X
4
 Analyzes a system, components of the system or process, gains the designing capabilities of the system under the real restrictive conditions.
X
5
Chooses ans uses the ability to apply modern tools and design technics, suitable analytical methods, modeling technics for the engineering applications
X
6
 Designs and performs experiments, data collection, has the ability of analyzing results
X
7
Works individually and in inter-disciplinary teams effectively
X
8
Becomes able to reach knowledge and for this purpose does literature research and to uses data base and other information sources
X
9
 Becomes aware of the necessity of lifelong learning and continuously self renewal 
X
10
Capable of effective oral and written skills in at least one foreign language for technical or non-technical use
X
11
 Effective use of Information and communication technologies
X
12
 Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly. 
X
13
 Professional and ethical responsibility
X
14
 Project management, workplace practices, environmental and occupational safety; awareness about the legal implications of engineering applications
X
15
 Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation and to have idea of contemporary issues
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 System approach Lecture notes Lecture
Problem Solving
2 Mathematical models and optimization, Lecture notes Lecture
Problem Solving
3 Introduction to optimization algorithm: Lagrange multipliers, Lecture notes Lecture
Problem Solving
4 Introduction to optimization algorithm: Lagrange multipliers, Lecture notes Lecture
Problem Solving
5 Linear programming: Graphical method, Lecture notes Lecture
Problem Solving
6 Linear programming: Simplex method Lecture notes Lecture
Problem Solving
7 Linear programming: Simplex method, Lecture notes Lecture
Problem Solving
8 Mid-Term Exam Lecture notes Lecture
Problem Solving
9 Midterm exam Lecture notes Lecture
Testing
10 Introduction to engineering economics Lecture notes Lecture
Problem Solving
11 Introduction to engineering economics Lecture notes Lecture
Problem Solving
12 Economic comparison methods Lecture notes Lecture
Problem Solving
13 Economic comparison methods Lecture notes Lecture
Problem Solving
14 Economic comparison methods Lecture notes Lecture
Problem Solving
15 Solving problems Lecture notes Lecture
Problem Solving
16-17 Term Exams Testing

Recommended or Required Reading
Textbook
Additional Resources