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Curriculum |
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Related Courses
CSD 301 Anatomy and Physiology of the Vocal Mechanism (1): Anatomical and physiological mechanisms of breathing, phonation, and articulation. Laboratories include dissection and participation in physiological research.
CSD 302 Anatomy and Physiology of the Peripheral Hearing Mechanism (1): Gross and fine structure; function of the peripheral auditory system. Prerequisites: CSD 307 or permission of instructor.
CSD 306 Psychoacoustics (1): Principles underlying perception of pitch, loudness, auditory space, auditory patterns, and speech; psychophysical procedures for studying psychoacoustics and impact of hearing impairment are considered.
CSD 310 Biological Foundations of Speech and Music (1): Anatomy and physiology of the central auditory pathway, experience-related neural plasticity, right/left brain specialization, audiovisual integration, auditory learning and perception; neural encoding of speech and music.
CSD 402 Speech Perception (1): Theories, issues, and major research findings in the field of speech perception. Prerequisites: CSD 307, LING 350.
CSD 507 Neural Mechanisms of Language Processing (1): Topics in brain-behavior relationships, emphasizing normal and abnormal speech and language.
EECS 332 Digital Image Analysis (1): Introduction to computer and biological vision systems, image formation, edge detection, image segmentation, texture, representation, analysis of two-dimensional geometric structures, and representation and analysis of two- and three-dimensional structures. Prerequisites: EECS 311 and permission of instructor.
EECS 349 Machine Learning (1): The study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genteic Algorithms, Neural Networks, Markov Models and Reinforcement Learning. Prerequisites: EECS 348, graduate standing, or permission of instructor.
EECS 359 Digital Signal Processing (1): Discrete time signals and systems, discrete-time Fourier transform, z-transform, discrete Fourier transform, digital filters.
EECS 420 Digital Image Processing (1): Fundamentals of image processing. Image compression, enhancement, and restoration. Image reconstruction from projections and partial information. Prerequisites: EECS 359 or equivalent.
LING 330 Research Methods in Linguistics (1): Methods of linguistic data collection, management, and analysis with an emphasis on the use of computational, experimental, and statistical methods
LING 350 Fundamentals of Laboratory Phonology (1): Articulatory phonetics. Syllable structure and phonotactics. Fundamentals of experimental design and data analysis. Prerequisites: Permission of instructor.
LING 360 Fundamentals of Syntax (1): Introduction to principles of syntactic theory through the analysis of various syntactic phenomena, based mainly on data from English. Emphasis on linguistic argumentation. Prerequisites: Permission of instructor.
LING 370 Fundamentals of Meaning (1): An in-depth overview of central issues in lexical semantics and pragmatics and a foundation in the analytical skills necessary for advanced research on meaning. Prerequisites: Permission of instructor.
MUS_THRY 351 Music Cognition (1): Survey of issues and research methods in music cognition. Areas such as music listening, memory for music, the development of skills, and emotionare covered.
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