Study of principles and practices of psychological measurement, including test construction, validity, and interpretation.
Examination of materials used in medical applications, including their properties, interactions with biological systems, and design considerations.
Introduction to mathematical structures fundamental to computer science, including logic, set theory, combinatorics, graph theory, and discrete probability.
An introduction to the fundamental principles of chemistry, including atomic structure, chemical bonding, stoichiometry, and thermodynamics. Laboratory experiments complement theoretical concepts.
An exploration of fundamental data structures and algorithms, including arrays, linked lists, stacks, queues, trees, and graphs. Emphasis on implementation and analysis.
Application of statistical techniques to psychological data, including descriptive statistics, hypothesis testing, and regression analysis.
Examination of network vulnerabilities and defense mechanisms, including firewalls, encryption, and intrusion detection systems.
Examination of the biological basis of behavior, including neural mechanisms of learning, memory, emotion, and mental disorders.
This course provides a comprehensive overview of the fundamental principles of psychology, including the study of human behavior, cognition, and development. Students will explore key concepts such as perception, learning, memory, and social interaction.
Interdisciplinary field combining engineering and life sciences to develop biological substitutes for restoring, maintaining, or improving tissue function.
Introduction to the design of digital circuits and systems, including Boolean algebra, logic gates, and sequential circuits.
Survey of AI concepts and techniques, including knowledge representation, search algorithms, machine learning, and natural language processing.
Study of how sensory information is detected, processed, and interpreted, covering visual, auditory, and other sensory systems.
Overview of legal principles affecting business operations, including contracts, torts, intellectual property, and business organizations.
Study of biological bases of behavior, including brain structure and function, hormones, and genetics.
Study of techniques for planning, executing, and controlling projects, including scheduling, risk management, and stakeholder communication.
Introduction to quantum mechanics principles applied to computation, including quantum algorithms and potential applications.
Advanced study of algorithm design and analysis. Topics include sorting, searching, dynamic programming, graph algorithms, and computational complexity.