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Information
| Code | CMZ309 |
| Name | MATLAB Applications for Environmental Engineers |
| Term | 2023-2024 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. BİNNAZ ZEYNEP ZAİMOĞLU |
| Course Instructor |
Arş.Gör.Dr. Hasan Kıvanç YEŞİLTAŞ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Gaining the ability to use computers in the field of Environmental Engineering. Gaining software applications in problem solving.
Course Content
Introduction to programming languages and algorithms. Basic MATLAB applications. Problem solving using MATLAB software.
Course Precondition
none
Resources
Lecturer's notes
Notes
Internet resources
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the logic of the MATLAB program. |
| LO02 | The MATLAB program manages the workspace and menus. |
| LO03 | Learns file operations and vector-matrix operations in MATLAB. |
| LO04 | Learns the solution of various problems in MATLAB. |
| LO05 | Uses ready-made functions and learns to create functions. |
| LO06 | Learns how to draw 2D and 3D graphics and use graphical user interface. |
| LO07 | Learns to use MATLAB toolbox. |
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 | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences | |
| 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. | |
| 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 | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Designs and performs experiments, data collection, has the ability of analyzing results | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Works individually and in inter-disciplinary teams effectively | 5 |
| 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 | General introduction to MATLAB | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 2 | File operations | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Vector and Matrix Representation in Matlab | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Matematiksel Fonksiyonlar Data Analizi | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Vector and Matrix Operations | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 6 | Nonlinear Equation Solutions | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Solutions of Systems of Linear Equations | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Reading and research | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 9 | Numerical Optimization | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 10 | Curve Fitting, Intermediate Value and External Value Calculation | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | İnterpolasyon | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | 2-D and 3-D graphics | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Gui uygulamaları | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Using Matlab toolbox | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Using Matlab toolbox 2 | Reading and research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Reading and research | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 17 | Term Exams | Reading and research | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 8 | 8 |
| Total Workload (Hour) | 84 | ||
| Total Workload / 25 (h) | 3,36 | ||
| ECTS | 3 ECTS | ||