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Main
UQU Programs
Computer Science

Machine Learning Principles

AI4202
3 hours English

Machine Learning Principles

Machine Learning Principles
AI4101 Artificial Intelligence Principles
3 hours One requisite
1 Introduction to machine learning and their learning models (supervised, unsupervised, reinforcement learning)
2 Statistical Learning Theory
3 Linear regression Model
4 Logistic regression
5 Naïve bayes classifier and its applications
6 Generalization and regularization
7 Unsupervised learning (k-means clustering)
8 Introduction to Reinforcement Learning
1.1 Mapped to: K1

Describe the fundamental issues and challenges of machine learning: data, model selection, model complexity

Teaching Strategy Class lectures, group discussion, demonstration, hands-on coding, Project, evaluation.
Assessment Methods Exams, Assignments, Project
1.2 Mapped to: K2

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

Teaching Strategy Class lectures, group discussion, demonstration, hands-on coding, Project, evaluation.
Assessment Methods Exams, Assignments, Project
2.1 Mapped to: S1, S2

Apply various methods to diagnose learning problems and improve learning.

Teaching Strategy Class lectures, group discussion, demonstration, hands-on coding, Project, evaluation.
Assessment Methods Exams, Assignments, Project
2.2 Mapped to: S1, 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, group discussion, demonstration, hands-on coding, Project, evaluation.
Assessment Methods Exams, Assignments, Project
2.3 Mapped to: S1, S2

Evaluate a variety of machine learning algorithms; critically assess their quality and robustness.

Teaching Strategy Class lectures, group discussion, demonstration, hands-on coding, Project, evaluation.
Assessment Methods Exams, Assignments, Project
3.1 Mapped to: V2

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

Teaching Strategy Project
Assessment Methods Project report
Assessment
Weight
Assignments
10%
Quizes
10%
Mid-term exam
20%
Group project
20%
Final Exam
40%
Total
100%