Information Package / Course Catalogue
| Course Code | : MME543 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The main aim of the course is to give a brief introduction to the artificial intelligence, introduce its application in the various fields of human activities, including more or less autonomous robotic systems
This course will introduce students to the growing field of mechatronics, advanced robotics systems and machine learning and artificial intelligence. Students will research and design "intelligent" robotic systems that solve real world problems by learning and refining their skills in mechanization and control, sensors, machine learning programming and data collection that leads to logic and predictive outcomes
| 1. | Students will have knowledge and understanding of the theory and implementation of robotics, for both physical and simulated robots |
| 2. | Students will have knowledge and understanding of the software/hardware integration in robot architectures for advanced tasks and industrial applications |
| 3. | Students will have knowledge and understanding of the adoption of artificial intelligence (AI) and machine learning (ML) algorithms in robotic systems |
| 4. | Student can use various terms and theoretical standpoints regarding artificial intelligence |
| 5. | Student can describe the function of artificial neural network, distinguish between humanoid and android |
| 1. | Handbook of Robotics – Bruno Siciliano and Oussama Khatib, Springer, 2016 |
| 2. | Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing – Shawn M. Walsh, Michael S. Strano, Elsevier, 2019. |
| 3. | Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques – Francis X. Govers, Packt Publishing, 2018. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 4 | 98 |
| Assignment | 7 | 0 | 5 | 35 |
| Individual Work | 7 | 3 | 3 | 42 |
| Midterm Examination | 1 | 9 | 2 | 11 |
| Final Examination | 1 | 12 | 2 | 14 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 4 | 4 | 5 | 5 | 5 | 4 | 5 | 5 | 3 | |||
OÇ-2 | 3 | 4 | 4 | 5 | 5 | 4 | 4 | 5 | 3 | |||
OÇ-3 | 3 | 5 | 4 | 4 | 5 | 4 | 3 | 4 | ||||
OÇ-4 | 3 | 4 | 3 | 4 | 5 | 3 | 4 | 4 | ||||
OÇ-5 | 3 | 3 | 3 | 3 | 3 | 4 | 5 | 5 | ||||