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Main
UQU Programs
Mechatronics Engineering

Machine Learning for Engineering

AI4201
3 hours English

Machine Learning for Engineering

Machine Learning for Engineering
CS2012 Advanced Programming for Engineering
3 hours One requisite
1 Fundamentals of machine learning
2 Artificial Neural Network
3 Convolutional Neural Networks
4 Transfer Learning for Image Classification
5 Object Detection
6 Image Segmentation
7 Applications of Object Detection and Segmentation: Multi-object instance segmentation
8 Image Generation
1.1 Mapped to: K1

Understanding the key components of Machine learning models.

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
1.2 Mapped to: K1

Understanding the archticture of neural networks and convolutional neural networks

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
1.3 Mapped to: K1

Understanding various computer vision tasks—including object detection, image classification, and segmentation

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
2.1 Mapped to: S1

Apply various methods to diagnose learning problems and improve learning.

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
2.2 Mapped to: S1

Describe a range of machine learning algorithms along with their strengths and weaknesses

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
2.3 Mapped to: S2

Design and implement a machine learning algorithm from scratch and test it on real world data to solve a variety of problems.

Teaching Strategy Class lectures
Assessment Methods Exams, Assignments
3.1 Mapped to: V1

Work effectively in groups to accomplish a common goal and show leadership qualities

Teaching Strategy Project
Assessment Methods Project report
Assessment
Weight
Assignments
20%
Mid-term exam
30%
Final Exam
30%
Group project
20%
Total
100%