Teaching and Learning

UBT has adequate facilities and equipment for carrying out educational and research activities, the University of Business and Technology (UBT) ensures that its facilities, infrastructure and equipment meet the qualitative and quantitative requirements necessary for the provision of education and research. Below is a detailed explanation of how this indicator is met, including figures for UBT in general and specifically for the Food Science and Technology (MSc.) program.

 

 

Learning outcomes

For a Master’s program in Food Science, the intended learning outcomes are usually described from the student’s perspective and include the skills and knowledge that they should develop by the end of their studies. Below is a possible summary of the intended learning outcomes for such a program:

– In-depth scientific knowledge;

To understand advanced concepts in food biochemistry, food microbiology and food technology.

To be able to analyze and interpret interactions between food components and technological processes.

– Scientific research skills;

To develop, implement and analyze research projects in the field of food science using advanced scientific methods.

To be able to identify and address current challenges in the food chain through innovative approaches.

– Practical and professional application;

To integrate theoretical and practical knowledge to develop new food products with high quality and guaranteed safety.

To implement national and international regulations and standards for food safety and quality.

– Critical analysis and problem solving;

To demonstrate the ability to analyze and evaluate criticisms of food processes and products to improve efficiency and sustainability.

To develop innovative solutions to complex problems in the food industry.

– Ethics and sustainability

To recognize and apply ethical principles in professional study and practice.

To promote sustainable solutions that support food safety and preserve the environment.

 

The Master of Food Science and Technology program at UBT ensures that all necessary software, whether licensed or open source, is available to support the curriculum. Below is a detailed summary of the licensed and open source software used in the program:

The HEI has adequate web accese of several links in food technology and nutrition for the disciplines of study included in the curriculum, with a valid license. The Food Science and Technology Master program at UBT ensures that all necessary software, either licensed or open source, is available to support the curriculum. The following is a detailed breakdown of licensed and open-source software utilized in the program:

  • MATLAB and Simulink
  • ArcGIS and QGIS
  • SPSS,

Drones and their analysis software (e.g., DroneDeploy, Pix4D).

 

Open source Software that is adequate for the program courses as follows:

 

DescriptionUnitsTotalCourse
ArcGIS and QGIS:11Geographic Information Systems (GIS) tools

are critical for spatial planning and are installed in all computer labs to

assist students with mapping, zoning, and urban development projects.

MATLAB and Simulink1010 For simulating  processes in agriculture.
Drones and their analysis software (e.g., DroneDeploy, Pix4D):1010For crop monitoring, agricultural area analysis,

 and accurate data collection.

SPSS1010Agricultural and Environmental Engineering Assessment
QGIS (Geographic Information System) Open Source55Spatial planning
UrbanSim (urban development modeling system)11Urban planning
Microcontrollers

Arduino, Raspberry, ESP32

1010Crop monitoring, agricultural area analysis, and accurate data collection

with IoT on real time

 through programming languages like C/C++, Python

Sensors3030Collect real-time data, which is then processed through the Arduino

 code to monitor crop conditions, analyze the food science andagricultural area, and gather

accurate data for better resource management and increased productivity.

PLC66They are programmed using specialized languages, often ladder logic,

 which allows for easy control and integration with sensors

and other equipment to enhance operational efficiency,

 and precision in agricultural systems.