Artificial Intelligence Engineering program

Program Detail

Course Description

The program considers developing smart software that depends on machine learning and deep learning that depends on artificial neural networks and how to apply this software in Engineering systems.

Learning Outcomes

• Over 37 lectures and 55.5 hours of content!
• Testing Training Included.
• Learn Software Testing and Automation basics.
• Practical assignments at the end of every session.
• the learning experience with live project work and examples.
• Information packed practical training starting from basics
• Advanced testing techniques.

Graduate attributes

In addition, the graduate of the Artificial Intelligence Engineering program has all the modules of graduates of computer engineering programs. The graduates have the following characteristics intensively:

• The ability to develop smart software that uses machine learning and deep learning.
• The ability to apply smart software to engineering applications.

Job Opportunities

Self-driving car manufacturers (or manufacturing companies) – Factories and companies operating in smart systems– robot’s manufacturers – Smart home components manufacturers – Ministries and government agencies related to smart cities – Manufacturers of smart personal health devices

Getting started

• Semester 1
  7 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  MEC011	Engineering Drawing (1)	1	2	2	0	5	2	135	4
  CSE014	Structured Programming	3	3	0	0	6	3	180	6
  PHY212	Introduction to Engineering Physics	2	2	0	0	4	3	150	6
  MAT111	Mathematics I	3	1	0	0	4	3	150	6
  MAT123	Mechanics	2	2	0	0	4	3	150	6
  UC1	University Requirement (1)	2	0	0	0	2	2	90	4
  UE1	Elective University (1)	2	0	0	0	2	2	90	4

• Semester 2
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  CSE015	Object Oriented Programming	3	3	0	0	6	3	180	6
  CSE113	Electric & Electronic Circuits	1	3	2	0	6	3	180	6
  PHY211	Physics II	2	2	0	0	4	3	150	6
  MAT114	Analytical Geometry & Calculus I	3	2	0	0	5	4	195	8
  MAT131	Statistics	1	2	0	0	3	2	105	4
  UC2	University Requirement (2)	2	0	0	0	2	2	90	4

• Semester 3
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  ELE115	Electrical Circuits & Measurements	2	2	1	0	5	3	165	5
  CSE111	Data Structures	3	3	0	0	6	3	180	6
  CSE131	Logic Design	3	2	2	0	7	3	195	6
  AIE111	Artificial Intelligence	3	3	0	0	6	3	180	6
  MAT313	Differential Equations & Numerical Analysis	3	2	0	0	5	4	195	8
  UC3	University Requirement (3)	2	0	0	0	2	2	90	4

• Semester 4
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  ELE432	Digital Signal Processing	2	1	1	0	4	3	150	6
  CSE112	Design & Analysis of Algorithms	3	3	0	0	6	3	180	6
  CSE132	Computer Architecture & Organization	3	2	0	0	5	3	165	6
  CSE315	Discrete Mathematics	2	0	2	0	4	3	150	6
  AIE121	Machine Learning	3	3	0	0	6	3	180	6
  UC4	University Requirement (4)	2	0	0	0	2	2	90	4

• Semester 5
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  CSE233	Operating Systems	3	2	0	0	5	3	165	6
  CSE261	Computer Networks	3	2	0	0	5	3	165	6
  CSE281	Image Processing	3	3	0	0	6	3	180	6
  AIE231	Neural Networks	3	3	0	0	6	3	180	6
  AIE241	Natural Language Processing	3	3	0	0	6	3	180	6
  UE2	Elective University (2)	2	0	0	0	2	2	90	4

• Semester 6
  7 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  CSE221	Database Systems	3	3	0	0	6	3	180	6
  CSE272	Embedded Systems	3	3	0	0	6	3	180	6
  CSE383	Computer Vision	3	3	0	0	6	3	180	6
  AIE212	Knowledge-Based Systems	3	3	0	0	6	3	180	6
  AIE213	Optimization Techniques	3	0	3	0	6	3	180	6
  AIE291	Field Training 1 In AI Engineering	2	0	0	0	2	1	30	2
  UC5	University Requirement (5)	2	0	0	0	2	2	90	4

• Semester 7
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  ELE215	Electronics & Digital Circuits	2	1	1	0	4	2	105	4
  AIE314	AI-Based Programming	3	3	0	0	6	3	180	6
  AIE322	Advanced Machine Learning	3	3	0	0	6	3	180	6
  E1	Elective Course (1)	2	2	0	0	4	3	150	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6
  UC6	University Requirement (6)	2	0	0	0	2	2	90	4

• Semester 8
  6 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  AIE323	Data Mining	3	3	0	0	6	3	180	6
  AIE332	Deep Learning	3	3	0	0	6	3	180	6
  AIE351	Robotics Design	3	3	0	0	6	3	180	6
  AIE392	Field Training 2 In AI Engineering	2	0	0	0	2	1	30	2
  E1	Elective Course (1)	2	2	0	0	4	3	150	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6

• Semester 9
  5 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  AIE425	Intelligent Recommender Systems	3	3	0	0	6	3	180	6
  AIE493	Graduation Project 1	2	0	0	0	2	3	120	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6
  UC7	University Requirement (7)	2	0	0	0	2	2	90	4

• Semester 10
  5 Courses

  Code	Course Name	LCT	LAB	TUT	OTH	CNTCT	CH	SWL	ECTS
  AIE424	Intelligent Decision Support Systems	3	3	0	0	6	3	180	6
  AIE494	Graduation Project 2	2	0	0	0	2	3	120	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6
  E2	Elective Course (2)	3	3	0	0	6	3	180	6
  UE3	Elective University (3)	2	0	0	0	2	2	90	4