COMPUTER ENGINEERING (ENGLISH, THESIS)


Profile of the Program

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Qualification Awarded

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Level of Qualification

This is a program.

Specific Admission Requirements

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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
BUS5301 Research Methods and Ethics
CMP5101 Data Mining
CMP5103 Artificial Intelligence
CMP5887 Seminar
CMP5888-1 Master Thesis
CMP5888-2 Master Thesis
Departmental Elective
BDA5002 Marketing Analytics
BDA5012 Big Data in Cloud Computing
CMP5102 Data Mining II
CMP5103 Artificial Intelligence
CMP5123 Computer Networks and Mobile Communications
CMP5126 Image and Video Processing
CMP5130 Machine Learning and Pattern Recognition
CMP5133 Artificial Neural Networks
CMP5151 Software Design Patterns
CMP5203 High Performance Computer Architecture
CMP5205 Advanced Computer Vision
CMP5208 Parallel Computing with GPUs
CMP6138 Analysis of Algorithms
CMP6160 Advanced Topics in Artificial Intelligence
CYS5021 Cyber Security
CYS5119 Secure Web Software Development
CYS5123 Web Application Security: Hacking and Defence
CYS5172 Advanced Computer Forensics
CYS5178 Penetration Testing
CYS5789 Cyber Security Law
EEE5010 Optimization
EEE5012 Numerical Methods in Engineering
EEE5014 Random Processes and Estimation Theory
EEE5022 Applied Statistics
EEE5043 Error Control Coding
ENM5203 Statistical Data Analysis and Decision Making
IND5101 Smart Factories
IND5102 Internet of Things
INE5110 Probabilistic Models and Applications
INE5111 Mathematical Programming and Modelling
INE5206 Decision Analysis
INE5261 Multi Attribute Decision Making
INE5309 Enterprise Resource Planning with SAP
INE6101 Linear Optimization
INE6103 Multivariate Data Analysis
INE6105 Stochastic Models
MAT5101 Engineering Mathematics
MCH5001 Linear System Theory
MCH5462 Advanced Robotics
SEN5315 Service Oriented Architectures
GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
BUS5301 Research Methods and Ethics 3 0 3 9
CMP5103 Artificial Intelligence 3 0 3 8
Departmental Elective 3 7
Departmental Elective 3 6
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5101 Data Mining 3 0 3 8
Departmental Elective 3 7
Departmental Elective 3 8
Departmental Elective 3 7
Total 30
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5887 Seminar 0 0 0 10
CMP5888-1 Master Thesis 0 0 0 20
Total 30
4. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5888-2 Master Thesis 0 0 0 30
Total 30

Program Director (or Equivalent)


COMPUTER ENGINEERING (ENGLISH, THESIS) - GRADUATE SCHOOL