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Main
UQU Programs
Computer Engineering and Networks

Introduction to Intelligent Systems

CEN3902
3 hours English

Introduction to Intelligent Systems

Introduction to Intelligent Systems
MTH2143 Differential equations and Linear Algebra
3 hours No requisites
MTH1602 Statistics and Probabilities in Computing
3 hours No requisites
1 Introduction to intelligent systems and ethics of using AI
2 Rule-based systems
3 Machine learning techniques
4 Fuzzy logic
5 Genetic algorithms for optimization
6 Neural networks and deep learning
7 Case studies: design and selection, planning, control
1.1 Mapped to: K1

An ability to identify and explain the fundamental knowledge and comprehension of concepts, principles, theories, processes and methodologies in the domain of Intelligent Systems

Teaching Strategy One or more of the following strategies may be used: • Classroom lectures • PowerPoint slides • Reading assignments
Assessment Methods One or more of the following strategies may be used: • Written exams • Home assignments • Oral questions
1.2 Mapped to: K1

An ability to identify and explain the broad in-depth knowledge and comprehension of concepts, principles, theories, processes and methodologies in the domain of Intelligent Systems

Teaching Strategy One or more of the following strategies may be used: • Classroom lectures • PowerPoint slides • Reading assignments
Assessment Methods One or more of the following strategies may be used: • Written exams • Home assignments • Oral questions
2.1 Mapped to: S1 (S1 in ABET)

Cognitive Skills: An ability to identify, formulate, and solve problems in the domain Intelligent Systems

Teaching Strategy One or more of the following strategies may be used: Classroom lectures • PowerPoint slides • Reading assignments • Problem solving practice • Tutorials
Assessment Methods One or more of the following strategies may be used: • Written exams • Home assignments • Oral questions
2.2 Mapped to: S4 (S3 in ABET)

Communication Skills: an ability to communicate effectively in the domain of Intelligent Systems

Teaching Strategy One or more of the following strategies may be used: • Classroom lectures • PowerPoint slides
Assessment Methods One or more of the following strategies may be used: • Written assignments or project reports • Oral presentations
3.1 Mapped to: V2 (S7 in ABET)

Autonomy: An ability to acquire new knowledge as needed, using appropriate learning strategies

Teaching Strategy One or more of the following strategies may be used: • Design activities through problem-based learning • Design examples • Open-ended design tasks • Classroom lectures • PowerPoint slides • Reading assignments • Problem solving • Tutorials
Assessment Methods One or more of the following strategies may be used: • Projects • Written exam • Home assignments • Oral presentations
3.2 Mapped to: V3 (S5 in ABET)

Responsibility: an ability to function effectively in a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objective

Teaching Strategy One or more of the following strategies may be used: • Discussion on various aspects of teamwork such as: (1) how to establish goals, plan tasks, and meet objective (2) how the group shares responsibilities and makes decisions together to foster collaboration • Classroom lectures • PowerPoint slides
Assessment Methods One or more of the following strategies may be used: • Project breakdown structure • Minutes of meeting
Assessment
Weight
Midterm
20%
Final Exam
40%
Quizes and Assignments
20%
Projects
20%
Total
100%