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Speech Sound Analysis | LING 260
Speech Sound Analysis | LING 260
Anya Lunden, Associate Professor
This course connects the acoustic signal of speech sounds to sound patterns within different human languages. Students will learn to use phonetics software to examine, measure, and analyze human speech sounds. The acoustic differences between different speech sounds, such as what distinguishes consonants from vowels, will be introduced and explored. We'll also examine what influences people's perceptions of sounds.
Software Development | CSCI 301
Software Development | CSCI 301
Peter Kemper, Associate Professor
An introduction to principled software development, emphasizing design at the module level as well as tools and techniques. Topics include object-oriented class design and implementation, abstraction techniques, debugging techniques, defensive programming, development and analysis tools, and testing. Emphasizes the role of the individual programmer in large software development projects.
Biochemistry | CHEM 314
Biochemistry | CHEM 314
Randolph A. Coleman, Professor of Chemistry
The molecular basis of living processes; the chemistry of important constituents of living matter, biosynthesis, metabolism, bioenergetics, enzyme kinetics, metabolic control, transport mechanisms. Section 01 primarily for life science majors; 02 for physical science majors.
Nutrition in Health & Disease | KINE 354
Nutrition in Health & Disease | KINE 354
Kenneth Kambis, Professor
This course is designed to present both core nutrition information as well as nutrition guidelines regarding the reduction of risk of chronic diseases as well as diet therapy during illness. Coverage of current research topics will elucidate specialty areas and advanced subjects. Another component of this course is to help students of nutrition evaluate information and products available from the media, colleagues, and the marketplace.
Programming for Data Science | CSCI 140
Programming for Data Science | CSCI 140
Dana Willner, Lecturer
An introduction to computational problem solving in the context of data science and commonly used data analysis software. Students can receive credit for only one of CSCI 140 and CSCI 141.
Data Structures | CSCI 241
Data Structures | CSCI 241
James Deverick, Lecturer
Continuation of fundamental concepts of computer science: data abstraction, data structures, and data representation. Lists, stacks, queues, trees, balanced trees, priority queues, hashing, and applications. The implementation of abstract data structures using classes gives this course a significant programming component.
Probability & Statistics | MATH 351
Probability & Statistics | MATH 351
Marylou Zapf, Senior Lecturer
Basic concepts in probability and statistical inference. Topics include: probability laws, counting techniques, discrete and continuous random variables, probability and cumulative distribution functions, sampling distributions, central limit theorem, point estimation, confidence intervals and one and two-sample tests of hypotheses. Mathematics majors are encouraged to take the more theoretical courses Math 451 and Math 452. Math 351 cannot not be taken concurrently with Math 451, nor after receiving credit for Math 451.
Cognitive Psychology | PSYC 311
Cognitive Psychology | PSYC 311
Jennifer A. Stevens, Associate Professor
The course examines human cognition. Topics include: perception, action, attention, memory, thinking, and language. Students will be introduced to the major theoretical perspectives and important empirical research findings from related fields of cognitive psychology, cognitive science and cognitive neuroscience.
Elementary Statistics | PSYC 301
Elementary Statistics | PSYC 301
Christopher Ball, Associate Professor
An introduction to statistics, both descriptive and inferential, including analysis of variance and correlation. Hypothesis testing and the analysis of research data are strongly emphasized.
Physiological Psychology | PSYC 313
Physiological Psychology | PSYC 313
Paul Kieffaber, Associate Professor of Psychological Sciences
Physiological basis of behavior with emphasis on mechanisms in perception, learning, emotion and motivation.
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