4 Courses 1 Categories
Modified 28 April 2025
MC 28 Apr
MODULE 3: Micro Award Machine Learning in Data Exploration
Module Info
| Course Name | : | MCKK56073 Micro-credential Engineering Statistics | ||||
| Module Title | : | Module 3: Micro Award Machine Learning in Data Exploration | ||||
| Module Code | : | MCKK56091 | ||||
| Credit Hours | : | 1 | ||||
| Learning Mode | : | Online, Physical, Self Learning | ||||
| Language | : | English | ||||
| Entry Requirement | : | Minimum SPM pass/equivalent with 3 years of work experience in related field Or; With 5 years of experience in related field. | ||||
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| Module Synopsis | : | This module provides an introduction to machine learning and its applications in data exploration. Topics covered include basic statistical analysis, data visualization, and machine learning algorithms for pattern recognition and predictive modeling. Learners will apply machine learning techniques to extract insights from data, enhancing their analytical skills for engineering and industrial applications. | ||||
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MODULE 2: Micro Award Basic Linear Regression in Quality Control
Module Info
| Course Name | : | MCKK56073 Micro-credential Engineering Statistics | ||||
| Module Title | : | Module 2: Micro Award Basic Linear Regression in Quality Control | ||||
| Module Code | : | MCKK56081 | ||||
| Credit Hours | : | 1 | ||||
| Learning Mode | : | Online, Physical, Self Learning | ||||
| Language | : | English | ||||
| Entry Requirement | : | Minimum SPM pass/equivalent with 3 years of work experience in related field Or; With 5 years of experience in related field. | ||||
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| Module Synopsis | : | This module focuses on linear regression techniques and their applications in quality control and process optimization. Key topics include least squares estimation, correlation analysis, hypothesis testing, and control charts (X, R & S charts). Learners will gain hands-on experience in statistical modeling to monitor and improve product and process quality in various industries. | ||||
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