Artificial Intelligence bachelor`s degree Program

  • College Of Computing & Information Technology |
  • English

Program Description


Artificial Intelligence (AI) is developed to be the systematic study of intelligent systems and computational methods for simulating human intelligence. The body of knowledge resulting from this discipline contains theories for understanding machine learning, neural networks, algorithms for decision-making, natural language processing, and tools for building intelligent agents. Moreover, it extends to cutting-edge developments in areas such as robotics, computer vision, reinforcement learning, and AI ethics. We can think of the work of AI specialists as falling into three categories. They design and implement AI-driven systems. AI experts tackle complex challenges in building intelligent machines that can learn from data, adapt to new environments, and make autonomous decisions. They also supervise teams developing AI models, ensuring they follow the latest advancements in AI techniques. They devise new ways to integrate AI into various industries. Progress in AI research has enabled the automation of tasks, improved decision-making, and innovations in fields such as healthcare, finance, and transportation. Now, AI researchers collaborate with professionals from other domains to create intelligent systems that can revolutionize areas like personalized medicine, autonomous vehicles, and smart cities. They develop effective methods to solve AI challenges. For example, AI researchers create more efficient algorithms for training deep learning models, improving computer vision accuracy, and refining natural language understanding. Their theoretical foundation helps them push the boundaries of what AI can achieve, while their practical experience with model optimization and data analysis leads to better AI solutions. AI spans the range from theory through application. Curricula reflecting this breadth are sometimes criticized for not immediately preparing graduates for specialized AI roles. However, AI programs provide a comprehensive foundation that allows graduates to adapt to new technological developments and evolving AI applications.

Learning Outcomes

  • Artificial Intelligence Program Objectives:

    Graduates of the Artificial Intelligence program at CCIT are expected, within a few years of graduation, to:
    1. Master AI, machine learning, and data science, applying innovative solutions to real-world problems to have successful careers across various industries.
    2. Commit to responsible AI development, effectively communicating and collaborating across diverse teams to create positive societal impacts.
    3. Continuously adapt to AI advancements, demonstrating leadership and innovation while further enhancing their skills in communication, teamwork, leadership, critical thinking, and time management and commit to ethical, legal, and societal considerations.

    Artificial Intelligence Student Outcomes:

    Graduates of the program will have an ability to:
    1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
    2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program discipline.
    3. Communicate effectively in a variety of professional contexts.
    4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
    5. Function effectively as a member or leader of a team engaged in activities appropriate to the program discipline.
    6. Apply computer science theory and software development fundamentals to produce computing-based solutions.
    7. Apply AI models and algorithms using state-of-the-art tools, frameworks, and programming languages effectively to solve complex problems in various domains.

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Admission Requirements

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Tests & Prerequisites

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Accreditation

Brief


Artificial Intelligence (AI) is the systematic study of intelligent systems and computational methods that simulate human thinking and behavior. It encompasses machine learning, neural networks, decision-making algorithms, and cutting-edge developments like robotics, computer vision, and AI ethics. AI professionals focus on three main areas: designing and implementing intelligent systems, creating new methods to apply AI across industries, and solving complex AI challenges. This broad discipline prepares graduates to adapt to emerging technologies and advancements, offering a strong foundation in both theory and practice.
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