KM0057 Mathematical Modeling for Industrial Chemical Applications

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code KM0057
Name Mathematical Modeling for Industrial Chemical Applications
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


Course Goal / Objective

The purpose of this course is to develop mathematical skills specific to the types of problems seen in chemistry, specifically industrial applications.

Course Content

The course will concentrate on both the specifics of the mathematical techniques and the practice of developing mathematical models from physical systems. The course will emphasize on the following: ordinary and partial differential equations. Techniques covered will include mathematical modeling, scaling, dimensional analysis, asymptotic analysis, stability analysis.

Course Precondition

None

Resources

Ders notları

Notes

Yates P., Chemical Calculations Mathematics for Chemistry, 2007, ISBN:9780849391644


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understanding basic topics of mathematical methods in problem solving
LO02 Acquires skills for mathematical modeling of physical systems
LO03 Solving problems in chemistry and industrial applications using modeling skills
LO04 Understands d-construction of empirical models.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal By developing current and advanced knowledge in the field with original thought and research, it reaches data that will bring innovation to its field. 4
PLO02 Bilgi - Kuramsal, Olgusal S/he has the knowledge to contribute to the chemistry literature.
PLO03 Beceriler - Bilişsel, Uygulamalı Develops new methods and strategies in modeling current problems and producing problem specific solutions. 5
PLO04 Bilgi - Kuramsal, Olgusal It follows the developments in the field of chemistry, acts in accordance with scientific ethical rules and constantly renews itself. 4
PLO05 Bilgi - Kuramsal, Olgusal Determines the necessary methods for experimental measurement and uses the instruments in accordance with the sensitivity limits.
PLO06 Yetkinlikler - Öğrenme Yetkinliği Plans and maintains a scientific study.
PLO07 Bilgi - Kuramsal, Olgusal Gains high level skills in using research methods in studies related to the field. 5
PLO08 Yetkinlikler - Öğrenme Yetkinliği Can prepare scientific articles and publish scientific articles related to the field in international refereed journals.
PLO09 Bilgi - Kuramsal, Olgusal Have the ability to work individually and make independent decisions.
PLO10 Bilgi - Kuramsal, Olgusal Follows directions in the field, gains the ability to analyze complex situations that may occur. 5
PLO11 Bilgi - Kuramsal, Olgusal S/he can organize projects and events in her/his field, and realize the stages of creating a project, executing it and reporting the results.
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Presents the results of their studies in written and oral form. Approaches environmental problems scientifically.


Week Plan

Week Topic Preparation Methods
1 Introduction to modeling topics Lecture notes and book chapters Öğretim Yöntemleri:
Anlatım
2 Classification of models Lecture notes and book chapters Öğretim Yöntemleri:
Anlatım
3 Balances and conservation basic subjects Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
4 Boundary conditions and control volumes Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 Empirical model building Lecture notes and book chapters Öğretim Yöntemleri:
Anlatım
6 Dimensioning and scaling up Lecture notes and book chapters Öğretim Yöntemleri:
Soru-Cevap
7 Strategies for mathematical modeling Lecture notes and book chapters Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Modeling examples-1 Lecture notes and book chapters Öğretim Yöntemleri:
Anlatım
10 Modeling examples-2 Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 Modeling examples-3 Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Ordinary diferentail equations Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Partial diferrential equations Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 Stathistical analysis in mathematical modeling-1 Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Statistical analysis in mathematical modeling-2 Lecture notes and book chapters Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Lecture notes and book chapters Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Lecture notes and book chapters Ölçme Yöntemleri:
Yazılı Sınav


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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 23.11.2022 01:47