CMS315 System Analysis

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

Information

Code CMS315
Name System Analysis
Term 2023-2024 Academic Year
Semester 5. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 2 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
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

Mühendislik problemlerinin çözümünde sistem yaklaşımı ve optimizasyon tekniklerinin yararının ve uygulama yaklaşımlarının öğrencilere anlatılması.

Course Content

Systems approach, mathematical models, optimization algorithms, engineering economics and comparison of options, linear programming and environmental engineering applications, dynamic programming.

Course Precondition

none

Resources

lecture notes

Notes

internet resources


Course Learning Outcomes

Order Course Learning Outcomes
LO01 It provides the gain to express the system approach (objective function, boundary conditions, alternative projects).
LO02 Learn about the usefulness of optimization techniques and application approaches
LO03 It provides the acquisition of learning the linear programming method and using it in the solution of Environmental Engineering problems.
LO04 It provides the ability to express the basic principles of economics in Environmental Engineering, to predict the effect of time in engineering economics and to interpret the results.
LO05 Gains knowledge about explaining economic benchmarking methods, revealing the effect of time economically in engineering projects and revealing differences with benchmarking 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 4
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 5
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. 1
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 4
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 3
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
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği  Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly. 
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


Week Plan

Week Topic Preparation Methods
1 System Approach: Objective Function, Boundary Conditions, Alternative Projects, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
2 Sistem Yaklaşımı: Amaç Fonksiyonu, Sınır Şartlar, Alternatif Projeler (konu devamı), Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
3 Mathematical Models and Optimization: Decision Models, Simulation Models, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
4 Introduction to Optimization Algorithms: Lagrange Multipliers Method, Network Analysis Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
5 Introduction to Optimization Algorithms: Lagrange Multiplier Method, Network Analysis (continued), Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
6 Introduction to Optimization Algorithms: Lagrange Multipliers Method, Network Analysis (continued the same topic), Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
7 Linear Programming: Graphical Method, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Reading and research Ölçme Yöntemleri:
Yazılı Sınav
9 Linear Programming: Simplex Method Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
10 Linear Programming: Dual Problems Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
11 Linear Programming Examples: Water Pollution Control, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
12 Linear Programming Examples: Solid Waste Collection, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
13 Linear Programming Examples: Air Pollution Control, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
14 Dynamic Programming, Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
15 Dynamic Programming (continued) Reading and research Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Reading and research Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading and research Ölçme Yöntemleri:
Yazılı Sınav


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 1 14
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 8 8
Total Workload (Hour) 58
Total Workload / 25 (h) 2,32
ECTS 2 ECTS

Update Time: 29.04.2024 02:30