Information Package / Course Catalogue
Digitalization in Dairy Processing Engineering
Course Code: ST303
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

The aim of this course is to teach the principles of fundamental dairy processing operations (such as separation, homogenization, thermal processing, and drying) and to integrate these processes with digitalization, automation, sensor technologies, data analytics, and artificial intelligence applications. The course also aims to enable students to understand and evaluate smart manufacturing systems used in the modern dairy industry.

Course Content

This course covers the fundamental unit operations of dairy processing engineering, including separation, emulsification, homogenization, reaction kinetics, thermal processing, evaporation, and drying systems. While the engineering principles and operating mechanisms of these processes are explained in detail, they are also examined in relation to Industry 4.0 applications, IoT-based monitoring systems, SCADA systems, big data analytics, and AI-assisted quality control approaches. The course aims to provide students with a comprehensive understanding of both traditional dairy technology and digital transformation processes in an integrated manner.

Name of Lecturer(s)
Learning Outcomes
1.1. Students should be able to: list the basic processes principles of milk samples
2.2. comprehension calculation methods for the production of basic procces
3.3. design the production process from data
4.4. have information about working principles of tools and equipment used in the production process
5.Leraning of transportation and preservation, heat transfer and mixing of concepts
Recommended or Required Reading
1.1. Oysun, G. Gönç, S., 1996, Süt İşleme .mühendisliği E.Ü.Zir.Fak. yayınları No:522 Bornova İzmir 1996.
Weekly Detailed Course Contents
Week 1 - Theoretical
Digitalization and digital transformation concepts, digital transformation in the dairy industry
Week 2 - Theoretical
Definition and principles of separation, separation processes in dairy technology, digitally controlled separator systems
Week 3 - Theoretical
Separators in dairy technology, cream separation and standardization, sensor-based process control applications
Week 4 - Theoretical
Concepts of emulsification and homogenization, homogenization theory, digital monitoring of homogenization parameters
Week 5 - Theoretical
Factors affecting homogenization, types and operating principles of homogenizers, automated process control systems
Week 6 - Theoretical
Basic concepts of reaction kinetics, reaction rates in dairy systems, data acquisition and process modeling
Week 7 - Theoretical
Applications of reaction kinetics in dairy technology, modeling of quality losses, AI-based quality prediction
Week 8 - Theoretical
Transportation and preservation, heat transfer and mixing of concepts
Week 9 - Theoretical
Basic concepts of heat transfer in thermal processing, heat transfer in dairy systems, digital temperature monitoring systems
Week 10 - Theoretical
Transportation, storage and mixing systems in dairy processing, IoT-based cold chain management
Week 11 - Theoretical
Pasteurization and sterilization techniques, heat transfer calculations, SCADA and automation applications
Week 12 - Theoretical
Heat exchangers and their operating principles, heat transfer during evaporation, smart process monitoring systems
Week 13 - Theoretical
Evaporation systems, lyophilization, drying principles, big data and process optimization
Week 14 - Theoretical
Drying systems and technologies, AI-assisted quality control systems, future technologies in the dairy industry
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Individual Work140228
Quiz1224
Midterm Examination1426
Final Examination1426
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
5
5
OÇ-2
5
5
5
OÇ-3
4
5
5
OÇ-4
4
5
5
OÇ-5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026