TÜRKÇE
ENGLISH
Information
| Code | BT543 |
| Name | Predictive Microbiology |
| 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 | Prof. Dr. ZERRİN ERGİNKAYA |
| Course Instructor |
1 |
Course Goal / Objective
To understand the relationship between the development of microorganisms and the main factors affecting the development of microorganisms in food environment, to express this relationship mathematically
Course Content
Definition of predictive microbiology, history, application areas, predictive microbiology and HACCP, predictive microbiology and quantitative risk assessment, rules to be considered in predictive microbiology, models in predictive microbiology, biological and mathematical researches and computer programs, and some problems encountered in microbiology
Course Precondition
none
Resources
McMeekin, T. A., Olley, J., Ratkowsky, D. A. Ross, T. (2002). Predictive microbiology: towards the interface and beyond. International journal of food microbiology, 73(2-3), 395-407.
Notes
handouts and slides
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn general information about the course content |
| LO02 | Learn definition and history of predictive microbiology |
| LO03 | Learn predictive microbiology and HACCP |
| LO04 | Learn predictive microbiology and quantitative risk assessment |
| LO05 | Learn rules to consider in predictive microbiology |
| LO06 | Learn modeling in predictive microbiology |
| LO07 | Learn models for the estimation of microbial properties in foods |
| LO08 | Learn biological and mathematical research on the subject |
| LO09 | students learn computer programs |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Develop and deepen the current and advanced knowledge in the field with original thought and / or research at the level of expertise based on the qualifications of the graduate and reach the original definitions that will bring innovation to the field. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Understands the interdisciplinary interaction of the field; it achieves original results using knowledge requiring expertise in analysis, synthesis and evaluation of new and complex ideas. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Evaluates, uses and transfers new information in the field with a systematic approach. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Makes critical analysis, synthesis and evaluation of new and complex thoughts. | |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Makes leadership in environments that require the analysis of original and interdisciplinary problems. | 4 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | It extends the limits of knowledge in its field by publishing at least one scientific article in its field in national and / or international refereed journals and / or producing or interpreting an original work. | |
| PLO07 | Yetkinlikler - Öğrenme Yetkinliği | Develops new ideas and methods related to the field by using high level mental processes such as creative and critical thinking, problem solving and decision making. | |
| PLO08 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | He / she defends his / her original opinions in discussing the subjects in his / her field and establishes an effective communication showing his / her competence in the field. | |
| PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | Conducts scientific research in national and international scientific research groups. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Establishes functional interaction by using strategic decision making processes in solving problems encountered in the field. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | general information about the course content | reviewing references | Öğretim Yöntemleri: Anlatım |
| 2 | Definition and history of predictive microbiology | reviewing references | Öğretim Yöntemleri: Anlatım |
| 3 | predictive microbiology and HACCP | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 4 | predictive microbiology and quantitative risk assessment | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 5 | rules to consider in predictive microbiology | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 6 | modeling in predictive microbiology | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 7 | modelings | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Performans Değerlendirmesi |
|
| 9 | models for the estimation of microbial properties in foods | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri |
| 10 | Biological and mathematical research on the subject | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri, Grup Çalışması |
| 11 | Computer programs | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri, Grup Çalışması |
| 12 | computer | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri, Grup Çalışması |
| 13 | system of computer programs | reviewing references | Öğretim Yöntemleri: Anlatım, Gösteri, Grup Çalışması |
| 14 | trial work | reviewing references | Öğretim Yöntemleri: Grup Çalışması, Örnek Olay, Problem Çözme |
| 15 | trial work types | reviewing references | Öğretim Yöntemleri: Grup Çalışması, Örnek Olay, Problem Çözme |
| 16 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi |
|
| 17 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi |
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 | ||