COURSE CURRICULUM

The Bachelor of Science in Computer Science with a concentration in Artificial Intelligence at Lawrence Tech is designed to provide students with a comprehensive foundation in computer science while emphasizing the rapidly evolving field of AI. The program blends coursework in mathematics, statistics, and cognitive psychology with core computer science principles, enabling students to understand and develop AI systems, including machine learning, deep learning, data mining, and pattern recognition. Students begin with foundational courses such as calculus, programming, and introductory computer science, while engaging in activities like coding clubs to build practical experience. In the second year, they advance into discrete mathematics, data structures, software engineering, functional programming, and linear algebra, laying the groundwork for more specialized AI applications. The third year introduces database systems, computer architecture, operating systems, and introductory AI and data science courses, along with natural science electives and career pathways labs for practical skill development. In the final year, students focus on advanced topics including machine learning, neural networks, computer networks, comparative programming languages, theory of computation, and ethics of computation, culminating in senior projects that synthesize knowledge and provide hands-on experience in AI development. Throughout the program, students benefit from electives, seminars, and applied labs, preparing them for careers in AI, data science, software engineering, and related technology fields. The curriculum integrates theory, practical skills, and real-world applications to equip graduates to address complex computational challenges in a rapidly evolving digital landscape.