BIOMEDICAL ENGINEERING (ENGLISH, THESIS)

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Qualification Requirements and Regulations

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Recognition of Prior Learning

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Occupational Profiles of Graduates

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Access to Further Studies

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Program Outcomes

Course & Program Outcomes Matrix

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

Program Outcomes

Courses

BME5001 Concepts and Applications in Biomedical Engineering

BNG5002 Biomedical Signals and Applications

BNG5887 Seminar

BNG5888-1 Master Thesis-1

BNG5888-2 Master Thesis-2

BUS5301 Research Methods and Ethics

Departmental Elective

BDA5001 Introduction to Big Data BDA5002 Marketing Analytics BME3008 Therapeutic Medical Devices BME4506 Cell and Tissue Engineering BNG5003 Motion Biomechanics BNG5005 Special Topics in Biomechanics BNG5111 Concepts and Applications in Biomedical Engineering BNG5113 Cellular and Molecular Bioengineering BNG5124 Basic Techniques in Bioengineering CMP5101 Data Mining CMP5103 Artificial Intelligence CMP5130 Machine Learning and Pattern Recognition CMP5133 Artificial Neural Networks EEE5010 Optimization EEE5012 Numerical Methods in Engineering EEE5022 Applied Statistics EEE5043 Error Control Coding ENM5112 Project Management ENM5223 Business Management and Entrepreneurship ENM5227 Risk Management INE5110 Probabilistic Models and Applications INE5111 Mathematical Programming and Modelling INE5261 Multi Attribute Decision Making INE6105 Stochastic Models INE6150 Design of Experiments MCH5001 Linear System Theory MCH5308 Finite Element Methods

GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
BME5001	Concepts and Applications in Biomedical Engineering		3	0	3	8
BUS5301	Research Methods and Ethics		3	0	3	9
Departmental Elective					3	7
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS BDA5001 Introduction to Big Data 3 0 3 8 BDA5002 Marketing Analytics 3 0 3 8 BME3008 Therapeutic Medical Devices 3 0 3 6 BME4506 Cell and Tissue Engineering 2 2 3 7 BNG5003 Motion Biomechanics 3 0 3 8 BNG5005 Special Topics in Biomechanics 3 0 3 8 BNG5111 Concepts and Applications in Biomedical Engineering 3 0 3 8 BNG5113 Cellular and Molecular Bioengineering 3 0 3 8 BNG5124 Basic Techniques in Bioengineering 3 0 3 8 CMP5101 Data Mining 3 0 3 8 CMP5103 Artificial Intelligence 3 0 3 8 CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 EEE5010 Optimization 3 0 3 9 EEE5012 Numerical Methods in Engineering 3 0 3 8 EEE5022 Applied Statistics 3 0 3 9 EEE5043 Error Control Coding 3 0 3 12 ENM5112 Project Management 3 0 3 8 ENM5223 Business Management and Entrepreneurship 3 0 3 12 ENM5227 Risk Management 3 0 3 12 INE5110 Probabilistic Models and Applications 3 0 3 8 INE5111 Mathematical Programming and Modelling 3 0 3 8 INE5261 Multi Attribute Decision Making 3 0 3 12 INE6105 Stochastic Models 3 0 3 9 INE6150 Design of Experiments 3 0 3 8 MCH5001 Linear System Theory 3 0 3 8 MCH5308 Finite Element Methods 3 0 3 12
Departmental Elective					3	6
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS BDA5001 Introduction to Big Data 3 0 3 8 BDA5002 Marketing Analytics 3 0 3 8 BME3008 Therapeutic Medical Devices 3 0 3 6 BME4506 Cell and Tissue Engineering 2 2 3 7 BNG5003 Motion Biomechanics 3 0 3 8 BNG5005 Special Topics in Biomechanics 3 0 3 8 BNG5111 Concepts and Applications in Biomedical Engineering 3 0 3 8 BNG5113 Cellular and Molecular Bioengineering 3 0 3 8 BNG5124 Basic Techniques in Bioengineering 3 0 3 8 CMP5101 Data Mining 3 0 3 8 CMP5103 Artificial Intelligence 3 0 3 8 CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 EEE5010 Optimization 3 0 3 9 EEE5012 Numerical Methods in Engineering 3 0 3 8 EEE5022 Applied Statistics 3 0 3 9 EEE5043 Error Control Coding 3 0 3 12 ENM5112 Project Management 3 0 3 8 ENM5223 Business Management and Entrepreneurship 3 0 3 12 ENM5227 Risk Management 3 0 3 12 INE5110 Probabilistic Models and Applications 3 0 3 8 INE5111 Mathematical Programming and Modelling 3 0 3 8 INE5261 Multi Attribute Decision Making 3 0 3 12 INE6105 Stochastic Models 3 0 3 9 INE6150 Design of Experiments 3 0 3 8 MCH5001 Linear System Theory 3 0 3 8 MCH5308 Finite Element Methods 3 0 3 12
Total						30

2. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
BNG5002	Biomedical Signals and Applications		3	0	3	8
Departmental Elective					3	7
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS BDA5001 Introduction to Big Data 3 0 3 8 BDA5002 Marketing Analytics 3 0 3 8 BME3008 Therapeutic Medical Devices 3 0 3 6 BME4506 Cell and Tissue Engineering 2 2 3 7 BNG5003 Motion Biomechanics 3 0 3 8 BNG5005 Special Topics in Biomechanics 3 0 3 8 BNG5111 Concepts and Applications in Biomedical Engineering 3 0 3 8 BNG5113 Cellular and Molecular Bioengineering 3 0 3 8 BNG5124 Basic Techniques in Bioengineering 3 0 3 8 CMP5101 Data Mining 3 0 3 8 CMP5103 Artificial Intelligence 3 0 3 8 CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 EEE5010 Optimization 3 0 3 9 EEE5012 Numerical Methods in Engineering 3 0 3 8 EEE5022 Applied Statistics 3 0 3 9 EEE5043 Error Control Coding 3 0 3 12 ENM5112 Project Management 3 0 3 8 ENM5223 Business Management and Entrepreneurship 3 0 3 12 ENM5227 Risk Management 3 0 3 12 INE5110 Probabilistic Models and Applications 3 0 3 8 INE5111 Mathematical Programming and Modelling 3 0 3 8 INE5261 Multi Attribute Decision Making 3 0 3 12 INE6105 Stochastic Models 3 0 3 9 INE6150 Design of Experiments 3 0 3 8 MCH5001 Linear System Theory 3 0 3 8 MCH5308 Finite Element Methods 3 0 3 12
Departmental Elective					3	8
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS BDA5001 Introduction to Big Data 3 0 3 8 BDA5002 Marketing Analytics 3 0 3 8 BME3008 Therapeutic Medical Devices 3 0 3 6 BME4506 Cell and Tissue Engineering 2 2 3 7 BNG5003 Motion Biomechanics 3 0 3 8 BNG5005 Special Topics in Biomechanics 3 0 3 8 BNG5111 Concepts and Applications in Biomedical Engineering 3 0 3 8 BNG5113 Cellular and Molecular Bioengineering 3 0 3 8 BNG5124 Basic Techniques in Bioengineering 3 0 3 8 CMP5101 Data Mining 3 0 3 8 CMP5103 Artificial Intelligence 3 0 3 8 CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 EEE5010 Optimization 3 0 3 9 EEE5012 Numerical Methods in Engineering 3 0 3 8 EEE5022 Applied Statistics 3 0 3 9 EEE5043 Error Control Coding 3 0 3 12 ENM5112 Project Management 3 0 3 8 ENM5223 Business Management and Entrepreneurship 3 0 3 12 ENM5227 Risk Management 3 0 3 12 INE5110 Probabilistic Models and Applications 3 0 3 8 INE5111 Mathematical Programming and Modelling 3 0 3 8 INE5261 Multi Attribute Decision Making 3 0 3 12 INE6105 Stochastic Models 3 0 3 9 INE6150 Design of Experiments 3 0 3 8 MCH5001 Linear System Theory 3 0 3 8 MCH5308 Finite Element Methods 3 0 3 12
Departmental Elective					3	7
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS BDA5001 Introduction to Big Data 3 0 3 8 BDA5002 Marketing Analytics 3 0 3 8 BME3008 Therapeutic Medical Devices 3 0 3 6 BME4506 Cell and Tissue Engineering 2 2 3 7 BNG5003 Motion Biomechanics 3 0 3 8 BNG5005 Special Topics in Biomechanics 3 0 3 8 BNG5111 Concepts and Applications in Biomedical Engineering 3 0 3 8 BNG5113 Cellular and Molecular Bioengineering 3 0 3 8 BNG5124 Basic Techniques in Bioengineering 3 0 3 8 CMP5101 Data Mining 3 0 3 8 CMP5103 Artificial Intelligence 3 0 3 8 CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 EEE5010 Optimization 3 0 3 9 EEE5012 Numerical Methods in Engineering 3 0 3 8 EEE5022 Applied Statistics 3 0 3 9 EEE5043 Error Control Coding 3 0 3 12 ENM5112 Project Management 3 0 3 8 ENM5223 Business Management and Entrepreneurship 3 0 3 12 ENM5227 Risk Management 3 0 3 12 INE5110 Probabilistic Models and Applications 3 0 3 8 INE5111 Mathematical Programming and Modelling 3 0 3 8 INE5261 Multi Attribute Decision Making 3 0 3 12 INE6105 Stochastic Models 3 0 3 9 INE6150 Design of Experiments 3 0 3 8 MCH5001 Linear System Theory 3 0 3 8 MCH5308 Finite Element Methods 3 0 3 12
Total						30

3. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
BNG5887	Seminar	☑	0	0	0	10
BNG5888-1	Master Thesis-1		0	0	0	20
Total						30

4. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
BNG5888-2	Master Thesis-2	☑	0	0	0	30
Total						30

Program Director (or Equivalent)

BIOMEDICAL ENGINEERING (ENGLISH, THESIS) - GRADUATE SCHOOL