The Artificial Intelligence (AI) is the attempt to build artificial systems that have intelligent behavior. The students study this program from the engineering perspective at UoB, rather than computer science alone. There are two main directions in this program. One is to enable students to comprehend natural intelligence through the utilization of computer models.
The other enables students to develop methods and innovation to build systems capable of intelligent decisions and engineering actions. In this way, the AI that students learn is both a science and engineering disciplines. Applications of AI range from “smart” controllers for household devices to computers that can converse in natural languages such as English, play computer games, conduct intelligent web searches, or act as the brain of a robot.
The recent major trend is the Fourth Industrial Revolution or Industry 4.0 for establishing a “smart factory”. It is an integration of Computer Engineering and smart solutions, for the automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of Things, cloud computing, and cognitive computing.
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
ARAB 100 |
Arabic Language |
1 & 2 |
FENG 003 |
3.0 |
SOCI 100 |
Oman Society |
1 & 2 |
FENG 003 |
1.0 |
CHEM 110 |
Chemistry |
1 |
|
3.0 |
MATH 100 |
Calculus I for Engineers |
1 |
FMAT/P 002 |
3.0 |
PHYS 110 |
Physics I |
1 & 2 |
MATH 100(Co.R) |
3.0 |
ENGR 130 |
Fundamentals of Engineering |
1 |
|
2.0 |
ESPU 140 |
English for Special Purposes (Engineering) |
1 & 2 |
|
3.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
ENGR 105 |
Engineering Drawing |
1 & 2 |
FENG 003 |
3.0 |
HIST 100 |
Oman History |
1 & 2 |
FENG 003 |
2.0 |
COMP 110 |
Problem Solving through Programming |
1 & 2 |
|
3.0 |
ENGR 120 |
Engineering Workshop |
1 & 2 |
|
2.0 |
PHYS 125 |
Physics II |
1 & 2 |
PHYS 110 |
3.0 |
MATH 130 |
Calculus II for Engineers |
1 & 2 |
|
3.0 |
ENGR 140 |
Engineering Ethics |
2 |
|
2.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
ENGR 250 |
Engineering Economy |
1 |
MATH 130 |
3.0 |
ENGR 260 |
Technical Writing |
1 |
ESPU 140 |
2.0 |
ECEN 219 |
Computer Architecture |
1 |
COMP 110 |
3.0 |
AINT 201 |
Object Oriented Programming in Python |
2 |
COMP 110 |
3.0 |
AINT 206 |
Digital Logic Design |
1 |
PHYS 125 |
3.0 |
AINT 211 |
Introduction to Computer Systems |
1 |
COMP 110 |
3.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
ENGR 300 |
Entrepreneurship: Creativity and Innovation |
1 |
ENGR 250 |
3.0 |
MATH 204 |
Differential Equations for Engineers |
1 |
MATH 130 |
3.0 |
ECEN 224 |
Programming II |
1 |
ECEN 219 |
3.0 |
AINT 221 |
Data Structures and Algorithms |
1 |
AINT 201 |
3.0 |
AINT 222 |
Data Visualization |
1 |
AINT 413 |
3.0 |
AINT 223 |
AI: Representation and Problem Solving |
1 |
|
3.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
MATH 203 |
Linear Algebra and Multivariate |
2 |
MATH 130 |
3.0 |
ECEN 308 |
Discrete Mathematics |
1 |
MATH 130 |
3.0 |
AINT 311 |
Web Technology |
1 |
|
3.0 |
AINT 312 |
Communication and Networking Fundamentals |
1 |
ECEN 219 |
3.0 |
AINT 313 |
Software Engineering Fundamentals |
1 |
AINT 211 |
1.0 |
AINT 314 |
Database Systems |
1 |
AINT 211 |
3.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
MATH 302 |
Probability and Statistics for Engineers |
1 |
MATH 130 |
3.0 |
MATH 301 |
Numerical Methods |
1 |
MATH 204 |
3.0 |
AINT 321 |
Advanced Artificial Intelligence |
1 |
AINT 223 |
3.0 |
AINT 322 |
Digital Image Processing |
2 |
MATH 203 |
3.0 |
AINT 323 |
Natural Language Processing |
2 |
AINT 221 |
3.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
AINT 331 |
Internship |
2 |
75.0 C.H. |
3.0 |
AINT 411 |
Machine Learning |
1 |
AINT 321 |
3.0 |
AINT 413 |
Graduation Project I |
2 |
100.0 C.H. |
3.0 |
AINT 412 |
Computer Vision |
2 |
MATH 302 |
3.0 |
|
Program Electives |
|
|
6.0 |
Course Code | Course Title | Sem | Prerequisite | Credit Hour |
---|---|---|---|---|
AINT 426 |
Deep Learning |
1 |
AINT 411 |
3.0 |
AINT 421 |
Robotics |
2 |
AINT 321 |
3.0 |
AINT 429 |
Graduation Project II |
1 |
|
2.0 |
|
Program Electives |
|
|
3.0 |
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