GM525 Mathematical Modeling in Food Engineering II

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

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
FOOD ENGINEERING (MASTER) (WITH THESIS)
Code GM525
Name Mathematical Modeling in Food Engineering II
Term 2025-2026 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 Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. ERDAL AĞÇAM
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of the course is to contribute to the training of manpower mathematically modelling the changes in food systems along with designing and optimizing food systems using these models with assistance of computer.

Course Content

This course covers the mathematical approaches to the design and optimization of food systems. Within the scope of the course, the mathematical approaches related to food systems like mass/energy transfers and balances, chemical changes etc. will be revealed.

Course Precondition

None

Resources

Power point Lecture Notes DOE Simplified/Practical Tools for Effective Experimentation, Anderson MJ, Whitcomb PJ, CRC Press Introduction to Food Engineering, Singh RP and Heldman DR, Academic Press Mathematical Molling of Food Processing, Farid MM, CRC Press Kimyasal Kinetik, Saçak, M, Gazi Kitapevi Isı ve Kütle Transferi: Pratik Bir Yaklaşım, Çengel YA, Güven Bilimsel Mühendislik ve Temel Bilimler için Diferansiyel Denklemler, Çengel YA ve Palm III WJ, Güven Bilimsel

Notes

Power point Lecture Notes DOE Simplified/Practical Tools for Effective Experimentation, Anderson MJ, Whitcomb PJ, CRC Press Introduction to Food Engineering, Singh RP and Heldman DR, Academic Press Mathematical Molling of Food Processing, Farid MM, CRC Press Kimyasal Kinetik, Saçak, M, Gazi Kitapevi Isı ve Kütle Transferi: Pratik Bir Yaklaşım, Çengel YA, Güven Bilimsel Mühendislik ve Temel Bilimler için Diferansiyel Denklemler, Çengel YA ve Palm III WJ, Güven Bilimsel


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Know the importance of mathematical approaches in the design and optimization of food systems
LO02 Make mathematical analysis of a selected food systems
LO03 Explain the experimental data obtained from a food system with mathematical models
LO04 Use mathematical approaches in the design and optimization of a process associated with food systems
LO05 Optimize mathematical models related to food systems with computer assistance


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Develop and deepen their knowledge in the field of Food Engineering based on undergraduate level qualifications at the level of expertise. 4
PLO02 Bilgi - Kuramsal, Olgusal Understands the interdisciplinary relationship related to the field of food engineering. 3
PLO03 Bilgi - Kuramsal, Olgusal Synthesizes interdisciplinary information and produce new knowledge by using theoretical and practical knowledge at expert level in food engineering. 5
PLO04 Bilgi - Kuramsal, Olgusal Solves food-related problems by using research methods and establishing cause-effect relationship. 3
PLO05 Bilgi - Kuramsal, Olgusal Performs independent studies related to the field of food engineering. 2
PLO06 Bilgi - Kuramsal, Olgusal Develops new approaches and solutions for solving unforeseen complex problems encountered in applications in food engineering. 5
PLO07 Bilgi - Kuramsal, Olgusal Leads the way in solving problems In food engineering fields.
PLO08 Beceriler - Bilişsel, Uygulamalı Evaluates the knowledge and skills acquired in the field of food engineering with a critical approach and directs its learning. 2
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Supports current developments and own studies in the field of food engineering with quantitative and qualitative data and conveys them to groups outside and outside the field systematically in written, oral and visual form. 4
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Examines and develops social relations and the norms that direct these relations from a critical point of view and takes action to change them when necessary.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicate in a foreign language at least in the European Language Portfolio B2 Level.
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses information and communication technologies in advanced level with computer software required by the field. 4
PLO13 Yetkinlikler - Öğrenme Yetkinliği Gains importance to social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of data related to food engineering. 2
PLO14 Yetkinlikler - Öğrenme Yetkinliği Develops strategy, policy and implementation plans in food engineering area and evaluates the obtained results within the framework of quality processes. 1
PLO15 Yetkinlikler - Öğrenme Yetkinliği Uses the knowledge, problem solving and / or application skills that are assimilated in the field of food engineering in interdisciplinary studies. 4


Week Plan

Week Topic Preparation Methods
1 Transient Mass Balance in Food Processing Systems-I Textbookss, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Problem Çözme, Bireysel Çalışma
2 Transient Mass Balance in Food Processing Systems-II Textbookss, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme, Bireysel Çalışma
3 Mathematical Approaches in Prediction Freezing and Thawing Time-I Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
4 Mathematical Approaches in Prediction Freezing and Thawing Time-II Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Bireysel Çalışma, Problem Çözme
5 The Logistic Model Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
6 Application of the Logistic Model in Food Engineering-I Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
7 Application of the Logistic Model in Food Engineering-II Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
8 Mid-Term Exam Textbooks, Presentations, Article reviews Ölçme Yöntemleri:
Ödev
9 Linear Programing and Optimization in Food Engineering-I Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası
10 Linear Programing and Optimization in Food Engineering-II Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası, Problem Çözme
11 Linear Programing and Optimization in Food Engineering-III Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
12 Computer Aided Optimization-I Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Bireysel Çalışma, Problem Çözme
13 Computer Aided Optimization-II Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Bireysel Çalışma
14 Computer Aided Optimization of Food Processes: Case Study-I Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Bireysel Çalışma
15 Computer Aided Optimization of Food Processes: Case Study-II Textbooks, Presentations, Article reviews Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Bireysel Çalışma
16 Term Exams Textbooks, Presentations, Article reviews Ölçme Yöntemleri:
Ödev
17 Term Exams Textbooks, Presentations, Article reviews Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 15 3 45
Out of Class Study (Preliminary Work, Practice) 15 4 60
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) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 09.05.2025 06:21