This course provides students with a broad overview, understanding, and application of visual communication elements, principles and theories, focusing particularly on their use in integrated strategic communication to create persuasive, strategic visual messages for clients. As an ISC professional, it is important to speak the language of visual communication to clearly communicate with designers using industry- standard terminology.

This course examines the fundamentals of digital web design in the context of integrated strategic communication. Students will be introduced to industry-standard code, terminology and design principles. Emphasis is placed on strategic processing and planning for specified target audiences.

Social and digital media are continuously changing the communications landscape. In this course, students will examine the strategic approach to social and digital media. Emphasis is placed on strategic planning for specified target audiences.

This course is designed to introduce students to various digital media strategies that professionals can employ using paid advertising platforms. This course focuses on how those strategies, including search engine optimization, paid search, display advertising, shopping advertising, email marketing, and video advertising, are incorporated into the marketing process. The course provides the balance between the practical and theoretical concepts professionals must consider if they are to effectively operate in the digital marketplace within an integrated strategic communication perspective.

This course will include two major parts: machine learning theories and applications. Machine learning theories will cover legacy techniques (e.g., support vector machine, Bayesian inference) and then go deeper into deep learning (convolutional and recurrent neural network). The application part will cover some practical studies on how can we leverage the machine learning techniques to analyze the data collected from factory floors. Also, programming of the machine learning techniques (e.g., Python) will be covered in the class as well.

This course will include two major parts: machine learning theories and applications. Machine learning theories will cover legacy techniques (e.g., support vector machine, Bayesian inference) and then go deeper into deep learning (convolutional and recurrent neural network). The application part will cover some practical studies on how can we leverage the machine learning techniques to analyze the data collected from factory floors. Also, programming of the machine learning techniques (e.g., Python) will be covered in the class as well.

Introduction to Audio Engineering is an undergraduate-level course designed to train students in the use of a variety of audio recording technologies. Topics covered include the proper utilization of microphones, best practices for recording sessions, basic and intermediate use of digital audio workstations, and the audio mixing/mastering process.

Independent study on a research question or problem in nutritional sciences; the topic is selected in collaboration with a faculty mentor, and the research is conducted under the supervision of a faculty member. The goal of this course is for students to have an authentic research experience working directly with a faculty member and/or a graduate student or postdoctoral fellow in data collection and analysis, as well as conducting a portion of the research project independently.

Independent study on a research question or problem in Pharmacology. The topic is selected in collaboration with a faculty mentor, and the research is conducted under the supervision of a faculty member. The goal of this course is for students to have a meaningful research experience working directly with a faculty member and/or a graduate student or postdoctoral fellow in data collection and analysis, as well as conducting a portion of the research project independently.

Introduction to the basic concepts, theories, and research on human cognitive processes. Specific topics include perception, attention, memory, language, decision making, and problem solving.