Diploma of Computer Engineering – Artificial Intelligence 0-2

 Diploma Program  ·  60 Credit Hours  · 

60CH
Credit Hours
7
Learning Outcomes
4+
Career Pathways
2
Years Duration

The 60 CH of the Computer Engineering – Artificial Intelligence Diploma program spans over university, college, and department requirements as either mandatory or elective courses.

A student can enroll in the Diploma program only when all the foundation requirements in Math and English are met. Otherwise, the student will first enroll in the AU English Language program and/or prerequisite Math courses.

RECOMMENDED STUDY PLAN

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Semester 1

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
ENGL110 Technical Writing for Engineering - - 3 3 CM
MATH100 Calculus I - - 3 3 CM
PHYS100 Physics I - - 3 3 CM
COMP100 Computer Programming - - 3 3 CM
MECH120 Engineering Drawings - - 1 3 CM
COMP109 Computer Programming Lab - COMP100 1 2 CM
ENGI100 Introduction to Engineering - - 1 2 CM
Semester Total 15 19

Semester 2

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH101 Calculus II MATH100 - 3 3 CM
PHYS101 Physics II PHYS100 - 3 3 CM
COMP101 Advanced Computer Programming COMP100 - 3 3 DM
ELEC100 Electrical Circuits MATH100 - 3 3 DM
MECH100 Workshop I - - 1 3 CM
PHYS109 Physics Lab PHYS100 PHYS101 1 2 CM
COMP108 Advanced Computer Programming Lab - COMP101 1 2 DM
Semester Total 15 19

Semester 3

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
COMP200 Linear Algebra for ICT MATH101 - 3 3 DM
COMP210 Introduction to Artificial Intelligence COMP101 - 1 2 DM
COMP220 Principles of Algorithms and Data Structures COMP101 - 3 3 DM
ELEC230 Digital Logic ELEC100 - 3 3 DM
COMP229 Principles of Algorithms and Data Structures Lab - COMP220 1 2 DM
ELEC239 Digital Logic Lab - ELEC230 1 2 DM
- University Elective 1 - - 3 3 UEL
Semester Total 15 18

Semester 4

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH212 Statistics and Data Science MATH101 - 3 3 DM
COMP211 Principles of Machine Learning COMP200
COMP210
- 3 3 DM
COMP212 Artificial Intelligence Ethics and Policies COMP210 - 1 2 DM
COMP230 Cloud Computing for AI Applications COMP220 - 3 3 DM
COMP219 Principles of Machine Learning Lab - COMP211 1 2 DM
COMP239 Cloud Computing for AI Applications Lab - COMP230 1 2 DM
COMP290 Project 1 (PBL) COMP220 - 3 3 DM
Semester Total 15 18
Program Total 60 74
  • CM: College Mandatory Course
  • DM: Department Mandatory Course
  • UEL: University Elective Course
  • Apply mathematics, science, engineering fundamentals, and standard hardware/software tools to solve well-defined problems.
  • Conduct tests and experiments in the practice area and analyze and interpret data.
  • Provide support in performing tasks and procedures and assist in designing engineering systems and components.
  • Understand and apply relevant standards and codes of practice with an emphasis on health and safety aspects in the workplace.
  • Recognize the impact of engineering practice in global, economic, environmental, and societal contexts.
  • Apply common communication techniques in well-defined technical and non-technical engineering environments and select appropriate technical literature.
  • Function effectively as individuals and in diverse teams and use a foreign language if applicable.

AI Technician

Smart Systems Developer

Junior Data Analyst

Robotics Engineering Assistant

Technical Support Specialist for Smart Systems

Diploma of Computer Engineering – Networking 0-2

 Diploma Program  ·  60 Credit Hours  · 

60CH
Credit Hours
7
Learning Outcomes
4+
Career Pathways
2
Years Duration

The 60 CH of the Diploma of Computer Engineering – Networking program span university, college, and department requirements, offered as mandatory and elective courses.

A student may enroll in the Diploma program only after completing all foundation requirements in Math and English. Otherwise, the student will first enroll in the AU English Language Program and/or prerequisite Math courses.

RECOMMENDED STUDY PLAN

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Semester 1

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
ENGL110 Technical Writing for Engineering - - 3 3 CM
MATH100 Calculus I - - 3 3 CM
PHYS100 Physics I - - 3 3 CM
COMP100 Computer Programming - - 3 3 CM
MECH120 Engineering Drawings - - 1 3 CM
COMP109 Computer Programming Lab - COMP100 1 2 CM
ENGI100 Introduction to Engineering - - 1 2 CM
Semester Total 15 19

Semester 2

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH101 Calculus II MATH100 - 3 3 CM
PHYS101 Physics II PHYS100 - 3 3 CM
ELEC100 Electrical Circuits MATH100 - 3 3 DM
COMP101 Advanced Computer Programming COMP100 - 3 3 DM
MECH100 Workshop I - - 1 3 CM
PHYS109 Physics Lab PHYS100 PHYS101 1 2 CM
COMP108 Advanced Computer Programming Lab - COMP101 1 2 DM
Semester Total 15 19

Semester 3

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
COMP200 Linear Algebra for ICT MATH101 - 3 3 DM
COMP240 Introduction to Cybersecurity COMP101 - 1 2 DM
ELEC230 Digital Logic ELEC100 - 3 3 DM
COMP250 Principles of Computer Networks and Security COMP101 - 3 3 DM
COMP259 Principles of Computer Networks and Security Lab - COMP250 1 2 DM
ELEC239 Digital Logic Lab - ELEC230 1 2 DM
- University Elective 1 - - 3 3 UEL
Semester Total 15 18

Semester 4

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH212 Statistics and Data Science MATH101 - 3 3 DM
COMP220 Principles of Algorithms and Data Structures COMP101 - 3 3 DM
COMP251 Network Ethics and Policies COMP240 - 1 2 DM
COMP252 Network Administration COMP250 - 3 3 DM
COMP229 Principles of Algorithms and Data Structures Lab - COMP220 1 2 DM
COMP258 Network Administration Lab - COMP252 1 2 DM
COMP292 Project 1 (PBL) COMP250 - 3 3 DM
Semester Total 15 18
Program Total 60 74
  • CM: College Mandatory Course
  • DM: Department Mandatory Course
  • UEL: University Elective Course
  • Apply mathematics, science, and engineering fundamentals, along with standard hardware and software tools, to solve well-defined engineering problems.
  • Conduct tests and experiments in computer engineering areas and analyze and interpret data.
  • Assist in the design, development, and maintenance of computer systems, including hardware and software components.
  • Understand and apply relevant standards and codes of practice, with an emphasis on health and safety in the workplace.
  • Recognize the impact of computer engineering practices in global, economic, environmental, and societal contexts.
  • Apply effective communication techniques in technical and non-technical environments and utilize appropriate technical documentation.
  • Function effectively both independently and within diverse teams, and use a foreign language when applicable.

Hardware Technician

IT Support Technician

Embedded Systems Assistant

Computer Engineering Technician

Computer Systems Technician

Technical Support Specialist

Diploma of Computer Engineering – Cybersecurity 0-2

 Diploma Program  ·  60 Credit Hours  · 

60CH
Credit Hours
7
Learning Outcomes
4+
Career Pathways
2
Years Duration

The 60 CH of the Computer Engineering – Cybersecurity Diploma program span over university, college, and department requirements as either mandatory or elective courses.

A student can enroll in the Diploma program only when all the foundation requirements in Math and English are met. Otherwise, the student will first enroll in the AU English Language program and/or prerequisite Math courses.

RECOMMENDED STUDY PLAN

Download PDF

Semester 1

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
ENGL110 Technical Writing for Engineering - - 3 3 CM
MATH100 Calculus I - - 3 3 CM
PHYS100 Physics I - - 3 3 CM
COMP100 Computer Programming - - 3 3 CM
MECH120 Engineering Drawings - - 1 3 CM
ENGI100 Introduction to Engineering - - 1 2 CM
COMP109 Computer Programming Lab - COMP100 1 2 CM
Semester Total 15 19

Semester 2

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH101 Calculus II MATH100 - 3 3 CM
PHYS101 Physics II PHYS100 - 3 3 CM
ELEC100 Electrical Circuits MATH100 - 3 3 DM
COMP101 Advanced Computer Programming COMP100 - 3 3 DM
MECH100 Workshop I - - 1 3 CM
PHYS109 Physics Lab PHYS100 PHYS101 1 2 CM
COMP108 Advanced Computer Programming Lab - COMP101 1 2 DM
Semester Total 15 19

Semester 3

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
COMP200 Linear Algebra for ICT MATH101 - 3 3 DM
COMP220 Principles of Algorithms and Data Structures COMP101 - 3 3 DM
COMP240 Introduction to Cybersecurity COMP101 - 1 2 DM
ELEC230 Digital Logic ELEC100 - 3 3 DM
COMP229 Principles of Algorithms and Data Structures Lab - COMP220 1 2 DM
ELEC239 Digital Logic Lab - ELEC230 1 2 DM
- University Elective 1 - - 3 3 UEL
Semester Total 15 18

Semester 4

Course Code Course Name Pre-R Co-R Credit Hours Contact Hours Course Type
MATH212 Statistics and Data Science MATH101 - 3 3 DM
COMP241 Cryptography Concepts COMP200
COMP240
- 3 3 DM
COMP242 Cybersecurity Ethics and Policies COMP240 - 1 2 DM
COMP243 Cyber Defense Techniques and Tools COMP220 - 3 3 DM
COMP248 Cyber Defense Techniques and Tools Lab - COMP243 1 2 DM
COMP249 Cryptography Concepts Lab - COMP241 1 2 DM
COMP291 Project 1 (PBL) COMP220 - 3 3 DM
Semester Total 15 18
Program Total 60 74
  • CM: College Mandatory Course
  • DM: Department Mandatory Course
  • UEL: University Elective Course
  • Apply mathematics, science, engineering fundamentals, and standard hardware/software tools to solve well-defined problems.
  • Conduct tests and experiments in the practice area and analyze and interpret data.
  • Provide support in performing tasks and procedures and assist in designing engineering systems and components.
  • Understand and apply relevant standards and codes of practice with an emphasis on health and safety aspects in the workplace.
  • Recognize the impact of engineering practice in global, economic, environmental, and societal contexts.
  • Apply common communication techniques in well-defined technical and non-technical engineering environments and select appropriate technical literature.
  • Function effectively as individuals and in diverse teams and use a foreign language if applicable.

Network Security Technician

Vulnerability Analyst

Penetration Tester

Technical Support

Data Protection Specialist

Network Monitoring

Digital Governance Support

Incident Analysis

Cyber Emergency Response