Mechatronics and Robotics Engineering (YL) (Non-thesis) (English)
Master	Length of the Programme: 1.5	Number of Credits: 90	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF: Level 7

Programme Structure with ECTS Values

1. Semester

Course Code

Course Name

Language

Prerequisites

ECTS

MECH 501

Mechatronic Systems Modeling and Control

7.5

MECH 503

Sensors Drive Systems and Automation with Microcontrollers

7.5

Departmental Elective

Course Code	Course Name	Language	Prerequisites	ECTS
ITC 501	Probability, Statistics, and Random Processes	EN		7.5
ITC 502	Machine Learning and Deep Learning	EN		7.5
ITC 503	Artificial Intelligence	EN		7.5
ITC 504	Agile Methods and DevOps	EN		7.5
ITC 505	Big Data Analytics and Management	EN		7.5
ITC 507	Programming for Data Science	EN		7.5
ITC 531	Internet of Things	EN		7.5
ITC 532	Computer Vision	EN		7.5
ITC 533	Natural Language Processing	EN		7.5
ITC 534	Object-Oriented Programming (Python)	EN		7.5
ITC 543	Applications in Big Data Management	EN		7.5
ITC 548	Real World Applications of Machine Learning and Deep Learning	EN		7.5
MECH 532	Embedded Systems Hardware Design	EN		7.5
MECH 533	Automotive Electronics and Control Systems	EN		7.5
MECH 536	Analog and Digital Electronics	EN		7.5

Departmental Elective

7.5

Course Code	Course Name	Language	Prerequisites	ECTS
ITC 501	Probability, Statistics, and Random Processes	EN		7.5
ITC 502	Machine Learning and Deep Learning	EN		7.5
ITC 503	Artificial Intelligence	EN		7.5
ITC 504	Agile Methods and DevOps	EN		7.5
ITC 505	Big Data Analytics and Management	EN		7.5
ITC 507	Programming for Data Science	EN		7.5
ITC 531	Internet of Things	EN		7.5
ITC 532	Computer Vision	EN		7.5
ITC 533	Natural Language Processing	EN		7.5
ITC 534	Object-Oriented Programming (Python)	EN		7.5
ITC 543	Applications in Big Data Management	EN		7.5
ITC 548	Real World Applications of Machine Learning and Deep Learning	EN		7.5
MECH 532	Embedded Systems Hardware Design	EN		7.5
MECH 533	Automotive Electronics and Control Systems	EN		7.5
MECH 536	Analog and Digital Electronics	EN		7.5

2. Semester

Course Code

Course Name

Language

Prerequisites

ECTS

MECH 504

Industrial Automation

7.5

MECH 506

Robotics and Vision

7.5

MECH 531

Renewable Energy Systems

7.5

Departmental Elective

Course Code	Course Name	Language	Prerequisites	ECTS
ITC 501	Probability, Statistics, and Random Processes	EN		7.5
ITC 502	Machine Learning and Deep Learning	EN		7.5
ITC 503	Artificial Intelligence	EN		7.5
ITC 504	Agile Methods and DevOps	EN		7.5
ITC 505	Big Data Analytics and Management	EN		7.5
ITC 507	Programming for Data Science	EN		7.5
ITC 531	Internet of Things	EN		7.5
ITC 532	Computer Vision	EN		7.5
ITC 533	Natural Language Processing	EN		7.5
ITC 534	Object-Oriented Programming (Python)	EN		7.5
ITC 543	Applications in Big Data Management	EN		7.5
ITC 548	Real World Applications of Machine Learning and Deep Learning	EN		7.5
MECH 532	Embedded Systems Hardware Design	EN		7.5
MECH 533	Automotive Electronics and Control Systems	EN		7.5
MECH 536	Analog and Digital Electronics	EN		7.5

3. Semester

Course Code

Course Name

Language

Prerequisites

ECTS

MECH 591

Project

Departmental Elective

7.5

Course Code	Course Name	Language	Prerequisites	ECTS
ITC 501	Probability, Statistics, and Random Processes	EN		7.5
ITC 502	Machine Learning and Deep Learning	EN		7.5
ITC 503	Artificial Intelligence	EN		7.5
ITC 504	Agile Methods and DevOps	EN		7.5
ITC 505	Big Data Analytics and Management	EN		7.5
ITC 507	Programming for Data Science	EN		7.5
ITC 531	Internet of Things	EN		7.5
ITC 532	Computer Vision	EN		7.5
ITC 533	Natural Language Processing	EN		7.5
ITC 534	Object-Oriented Programming (Python)	EN		7.5
ITC 543	Applications in Big Data Management	EN		7.5
ITC 548	Real World Applications of Machine Learning and Deep Learning	EN		7.5
MECH 532	Embedded Systems Hardware Design	EN		7.5
MECH 533	Automotive Electronics and Control Systems	EN		7.5
MECH 536	Analog and Digital Electronics	EN		7.5

Departmental Elective

7.5

Course Code	Course Name	Language	Prerequisites	ECTS
ITC 501	Probability, Statistics, and Random Processes	EN		7.5
ITC 502	Machine Learning and Deep Learning	EN		7.5
ITC 503	Artificial Intelligence	EN		7.5
ITC 504	Agile Methods and DevOps	EN		7.5
ITC 505	Big Data Analytics and Management	EN		7.5
ITC 507	Programming for Data Science	EN		7.5
ITC 531	Internet of Things	EN		7.5
ITC 532	Computer Vision	EN		7.5
ITC 533	Natural Language Processing	EN		7.5
ITC 534	Object-Oriented Programming (Python)	EN		7.5
ITC 543	Applications in Big Data Management	EN		7.5
ITC 548	Real World Applications of Machine Learning and Deep Learning	EN		7.5
MECH 532	Embedded Systems Hardware Design	EN		7.5
MECH 533	Automotive Electronics and Control Systems	EN		7.5
MECH 536	Analog and Digital Electronics	EN		7.5