CMS347 System Analysis

4 ECTS - 2-0 Duration (T+A)- 5. Semester- 2 National Credit

Information

Code CMS347
Name System Analysis
Term 2022-2023 Academic Year
Semester 5. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. BELGİN BAYAT
Course Instructor Prof. Dr. BELGİN BAYAT (A Group) (Ins. in Charge)


Course Goal / Objective

Linear programming methods and solving environmental problems using this techniques

Course Content

Description of system approaches and mathematical models, Optimization techniques and application approaches,Explanation of economic comparison methods,Linear programming methods and solving environmental problems using this techniques

Course Precondition

None

Resources

Lecturer notes

Notes

Ders notları


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explanation of benefits of optimization techniques and application approaches
LO02 Description of system approaches
LO03 Linear programming methods and solving environmental problems using this techniques
LO04 Explanation of principals of economy in environmental engineering applications,interpretation of effect of time on economy
LO05 Explanation of economic comparison methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Becomes equipped with adequate knowledge in mathematics, science, environment and engineering sciences 5
PLO02 Bilgi - Kuramsal, Olgusal Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences 4
PLO03 Bilgi - Kuramsal, Olgusal Determines, describes, formulates and gains capabilities in solving engineering problems 4
PLO04 Bilgi - Kuramsal, Olgusal  Analyzes a system, components of the system or process, gains the designing capabilities of the system under the real restrictive conditions. 5
PLO05 Bilgi - Kuramsal, Olgusal Chooses ans uses the ability to apply modern tools and design technics, suitable analytical methods, modeling technics for the engineering applications 3
PLO06 Bilgi - Kuramsal, Olgusal  Designs and performs experiments, data collection, has the ability of analyzing results
PLO07 Bilgi - Kuramsal, Olgusal Works individually and in inter-disciplinary teams effectively
PLO08 Beceriler - Bilişsel, Uygulamalı Becomes able to reach knowledge and for this purpose does literature research and to uses data base and other information sources 2
PLO09 Beceriler - Bilişsel, Uygulamalı  Becomes aware of the necessity of lifelong learning and continuously self renewal 
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Capable of effective oral and written skills in at least one foreign language for technical or non-technical use
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği  Effective use of Information and communication technologies 1
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği  Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly.  1
PLO13 Yetkinlikler - Öğrenme Yetkinliği  Professional and ethical responsibility
PLO14 Yetkinlikler - Öğrenme Yetkinliği  Project management, workplace practices, environmental and occupational safety; awareness about the legal implications of engineering applications
PLO15 Yetkinlikler - Öğrenme Yetkinliği  Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation and to have idea of contemporary issues 1


Week Plan

Week Topic Preparation Methods
1 Description of system approaches, Lecture notes
2 Description of system approaches (continue), Lecture notes
3 Mathematical models and optimization techniques and application approaches, Lecture notes
4 Optimization techniques and application approaches: The methods of Lagrange, Lecture notes
5 Optimization techniques and application approaches: The methods of Lagrange (continue), Lecture notes
6 Optimization techniques and application approaches: The methods of Lagrange (same subject continue), Lecture notes
7 Linear programming methods: Graphical methods, Lecture notes
8 Mid-Term Exam
9 Linear programming methods: Simplex methods, Lecture notes
10 Linear programming methods: Dual problems, Lecture notes
11 The solving environmental (water pollution control) problems, using Linear programming methods Lecture notes
12 The solving environmental (solid waste management) problems, using Linear programming methods, Lecture notes
13 The solving environmental (air pollution control) problems using Linear programming methods, Lecture notes
14 Dynamic programs, Lecture notes
15 Dynamic programs (continue). Lecture notes
16 Term Exams
17 Term Exams


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 1 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 24 24
Total Workload (Hour) 88
Total Workload / 25 (h) 3,52
ECTS 4 ECTS

Update Time: 17.11.2022 09:15