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21 Courses

Python Programming for Machine Learning
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Python Programming for Machine Learning

Module Info


Course Name
 :Machine Learning
Module Title : Python Programming for Machine Learning
Module Code : MCKK52011
Credit Hours : 1
Learning Mode
 :  Hybrid
Language
 :  English
Entry Requirement : SPM with a minimum of 5 years of work experience in a related field
Registration Date :  
Module Synopsis : This module introduces participants to the basic concepts of Python programming required for developing machine learning applications. The module covers 1) Python Basics - cover data types, variables, and control loops, 2) Functions and Data Structures - explore creating functions and using lists, dictionaries, etc., 3) Numpy - a powerful numerical library for scientific computing, 4) Project-Based Learning - embrace  to apply skills through real-world projects.
Module Learning Outcomes :
MLO 1 Apply data structures and various Python libraries according to data types.
MLO 2 Produce effective Python programs to solve problems related to data preparation for machine learning.
Fee :  
Lecturer's Name :  Dr. Mohd Faisal Ibrahim / Dr. Seri Mastura Mustaza / Dr. Aqilah Baseri Huddin / Assoc. Prof. Dr. Mohd Asyraf Zulkifley




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Unsupervised Machine Learning
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Unsupervised Machine Learning

Module Info


Course Name
 :Machine Learning
Module Title :  Unsupervised Machine Learning
Module Code : MCKK52031
Credit Hours : 1
Learning Mode
 :  Hybrid
Language
 :  English
Entry Requirement :  At least passed SPM or equivalent with a minimum of 5 years of working experience in the related fields.
Registration Date :  -
Module Synopsis : This module aims to provide knowledge and understanding of unsupervised machine learning methods. The module starts with a general understanding of an unsupervised learning methodology focusing on clustering algorithms. Two unsupervised clustering algorithms will be taught in this module, which are hierarchical and K-means clustering algorithms. This module will delve into the basic theory of the selected clustering algorithms and also their pseudocode.
Module Learning Outcomes :
MLO 1 Ability to suggest unsupervised learning algorithms for engineering applications.
MLO 2 Ability to evaluate the effectiveness of the machine learning algorithms.
Fee :  
Lecturer's Name :  Dr. Mohd Asyraf Zulkifley




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Supervised Machine Learning
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Supervised Machine Learning

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  




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  • 7
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Spectroscopy

Module Info


Course Name
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Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  




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  • 5
Introduction to Toxic Substances
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Introduction to Toxic Substances

Module Info


Course Name
 : Micro-Credential Industrial Toxicology
Module Title : Introduction to Toxic Substances
Module Code : MC-CEIT 1
Credit Hours : 1
Learning Mode
 :  
Language
 :  English
Entry Requirement :  
Registration Date :  
Module Synopsis :

This course is to provide students with processes that involve toxicants in industry and the generation of toxic waste. The effect of toxicants from the industry and agriculture towards the environment, and effective waste management will also be introduced. The dose - response correlation and basic mechanisms of absorption, distribution, metabolism and the production of toxic substances in the human body system will also be discussed. By the end of this course, students will be able to evaluate the risk, toxicity level and the solution method based on the right safety aspect.
Module Learning Outcomes :
MLO 1

Identify the process that involved with toxicants in industry and the generation of toxic waste.
MLO 2

Investigate suitable detection methods for toxic substances from industrial and agricultural wastes.
Fee :  
Lecturer's Name :  Dr. Nur Hidayatul Nazirah Kamarudin




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Determination of Toxic Substances
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Determination of Toxic Substances

Module Info


Course Name
 : INDUSTRIAL TOXICOLOGY 
Module Title :  Determination of Toxic Substances
Module Code : Mc-CEIT3
Credit Hours : 1 credit hour
Learning Mode
 :  Physical at Faculty of Engineering and Built Environment (FKAB), UKM Bangi, Selangor, Malaysia.
Language
 :  English and Malay
Entry Requirement : Minimum SPM pass/equivalent with 3 years of work experience in a related field

or

5 years of work experience in a related field.
Registration Date :  
Module Synopsis :

This course is to provide students with processes that involve toxicants in industry and the generation of toxic waste. The effect of toxicants from the industry and agriculture towards the environment, and effective waste management will also be introduced. The dose - response correlation and basic mechanisms of absorption, distribution, metabolism and the production of toxic substances in the human body system will also be discussed. By the end of this course, students will be able to evaluate the risk, toxicity level and the solution method based on the right safety aspect.
Module Learning Outcomes : HPM3: Menganalisis perkaitan dos-tindakbalas serta mekanisme asas penyerapan, pengagihan, metabolisme dan pengeluaran bahan toksik dalam sistem tubuh manusia. 

Analyse the dose - response correlation and basic mechanisms of absorption, distribution, metabolism and the production of toxic substances in the human body system.

 

HPM4: Memahami dan menganalisis kaedah penyingkiran bahan bertoksik dari sistem tubuh manusia mengikut kelas bahan bertoksik.

Understand and analyze the excretion of toxicant from the human body system according to the classification.

 

HPM5.Menilai risiko, tahap ketoksikan dan kaedah penyelesaiannya berdasarkan aspek keselamatan yang betul.  

Evaluate the risk, toxicity level and the solution method based on the right safety aspect.  
Fee :  
Lecturer's Name :  ChM. Dr. Noorashikin Md Saleh & Ts. Dr. Nur Hidayatul Nazirah Kamarudin

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Introduction to Automation Systems
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Prof. Madya Ir. Dr. Rizauddin Ramli

Introduction to Automation Systems

Module Info


Course Name
 : Micro-Credential Manufacturing Automation
Module Title :  Introduction to Automation Systems
Module Code : MCKK54011
Credit Hours : 1
Learning Mode
 :  Online 
Language
 :  English
Entry Requirement : Minimum pass SPM/equivalent with 3 years of experience in the related areas

or;

With 5 years of experience in related areas.
Registration Date :  
Module Synopsis :

This module introduces students to the basic concepts of automated machines and equipment, functions and applications of robots in industrial automation systems. This course discusses the theory and concepts of automation which related to systems in manufacturing industry.
     
Module Learning Outcomes :
MLO 1 Explain the concept of automation systems and industrial robot principles and its components.
MLO 2 Describe industrial robot configurations and Denavit Harternberg algorithms
Fee :
Lecturer's Name :  Associate Prof Ir  Dr Rizauddin Ramli(coordinator)
Dr Afifah Zakiyyah Juri
Dr Hawa Hisahmuddin

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Modul 35
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Modul 35

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 34
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Modul 34

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 33
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Modul 33

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 22
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Dr. Irfana Kabir Ahmad

Modul 22

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 23
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Ir. Dr Anuar Kasa

Modul 23

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 24
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Dr. Mohd Reza Azmi

Modul 24

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 25
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Dr. Noor Hasyimah

Modul 25

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 26
Fakulti Kejuruteraan dan Alam Bina
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Fakulti Kejuruteraan dan Alam Bina

Modul 26

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 0
  • 7
Modul 28
Fakulti Kejuruteraan dan Alam Bina
Preview Course

Teacher: Dr. Nor Kamaliana Khamis

Modul 28

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
MICRO CREDENTIAL MACHINE LEARNING
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Dr. Seri Mastura Mustaza

MICRO CREDENTIAL MACHINE LEARNING

Module Info


Course Name
 :  Micro Credential Machine Learning
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :   English
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 30
Fakulti Kejuruteraan dan Alam Bina
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Teacher: Dr. Aqilah Baseri Huddin

Modul 30

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 31
Fakulti Kejuruteraan dan Alam Bina
Preview Course

Teacher: Kalaivani Chellappan

Modul 31

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7
Modul 3
Fakulti Kejuruteraan dan Alam Bina
Preview Course

Teacher: Dr. Noorhelyna Razali

Modul 3

Module Info


Course Name
 :
Module Title :  
Module Code :
Credit Hours :
Learning Mode
 :  
Language
 :  
Entry Requirement :  
Registration Date :  
Module Synopsis : This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment.
Module Learning Outcomes :
MLO 1 example: Describes the basic concepts in marketing
MLO 2 example: Identify the element in the strategic planning and marketing environment.
Fee :  
Lecturer's Name :  

  • 1
  • 7

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