Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü ZORUNLU
Dersin Koordinatörü Doç.Dr. FATİH KARADAĞLI
Dersi Verenler Doç.Dr. FATİH KARADAĞLI
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Mathematical modeling applicaitons in environmental engineering, and to make predictions for outcome of each application. To identify critical time periods, and critical parameters prior to actual work. This course aims to present the use of mathematical modeling principles in environmental engineering.
Dersin İçeriği
To establish mathematical equations using principles of mass and energy balance. To solve these equation numerically and analytically, and to discuss the results. To make different modeling applications, e.g., ground water, rivers, and lakes. Modeling analysis of reactions and reactors. To use thermoydnamic data in modeling practices. Modeling of microbial reactions. Equations of Monod and Micheles-Menten, energy gain from microbial reactions and microbial growth.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - To obtain mathematical modeling knowledge and ability to apply at graduate level 1 - 2 - 3 - 14 - A - C -
2 - To obtain the ability to design experiments using modeling 1 - 2 - 3 - 6 - 14 - A - C - F -
3 - To gain the ability to apply mass balance principle in applications of environmental engineering 1 - 2 - 3 - 14 - 15 - A - C - F -
4 - To learn about the variety of reactions and reactors, and how to design reactors 1 - 2 - 3 - 6 - 14 - A - C - F -
5 - To develop the ability for modeling applicaitions in natural waters 1 - 2 - 3 - 14 - 15 - A - C - F -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 6:Motivations to Show 14:Self Study 15:Problem Solving
Ölçme Yöntemleri: A:Testing C:Homework F:Performance Task

Ders Akışı

Hafta Konular ÖnHazırlık
1 Various examples of mathematical modeling from different fields
2 How to express mathematically the mass in water
3 Development mathematical models for dissolution of chemicals in water and various examples
4 Modeling applications with MS-Excel
5 Mathematical modeling of redox reactions
6 Applications of models in degradation of toxic waste
7 Modeling of microbial activities
8 Microbial reactions, energy gain, and Monod Equation
9 Modeling microbial growth with Monod Equation
10 Presentation of Mcheles-Menten Equation and its applications
11 Modeling competition between microorganisms with Monod Equation
12 Mathematial modeling of microbial degradation of oil derivates
13 Mathematical application of inhibition effect in microbial reactions
14 Modeling of certain hazardous waste chemicals


Ders Notu
Ders Kaynakları

Döküman Paylaşımı

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Deal skills with evaluation, construction and application of the data’s by reconnoitering at engineering area. X
2 Deal skills with completion and application of the data’s with scientific methods that using limited or scarce parameters and deal skills with integration of various disciplinary data’s. X
3 Deal skills with editing engineering problems, improving methodology and exercising of innovative methods at solutions. X
4 Deal skills with improving innovative and original methods; improving innovative solutions at system, component or process designing. X
5 Deal skills with comprehensive knowledge concerning with modern techniques, methods and limits applying at engineering. X
6 Deal skills with contemplation and application of analytical, modeling and experimental researches; deal skills with to analyze and to comment the complex situations encountered at this process. X
7 Deal skills with to characterize the requirement knowledge / data and to access and evaluate this knowledge’s. X
8 Deal skills with leading to multidisciplinary groups and improving solutions at complex situations. X
9 Deal skills with to convey the process and results of the researches systematically and unequivocally in writing and by parol at national and international areas. X
10 Deal skills with to consider the social, scientific and ethic values at data collection, comment and announced phases and other all vocational activities. X
11 Deal skills with awareness at new and developing applications of business and deal skills with analyzing and learning of these applications. X
12 Deal skills with to apprehend the social and environmental dimensions of engineering applications and deal skills with to accord to social environment. X

Değerlendirme Sistemi

AraSinav 1 40
Odev 1 10
Odev 2 10
Odev 3 10
Odev 4 10
PerformansGoreviSeminer 1 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 20 20
Quiz 1 20 20
Performance Task (Laboratory) 1 40 40
Toplam İş Yükü 160
Toplam İş Yükü /25(s) 6.4
Dersin AKTS Kredisi 6.4
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