This is a YouTube channel with about three dozen short (15 min) talks about various topics related to learning and behavior or conditioning and learning. The talks cover the full range of topics typically included in a course on learning, including habituation, classical conditioning, instrumental conditioning, schedules of reinforcement, theories of reinforcement, behavioral economics, the Premack principle, extinction, stimulus control, and memory, The talks were written and delivered by Michael Domjan, Professor of Psychology at the University of Texas at Austin and are based on Domjan's popular textbooks, The Principles of Learning and Behavior (published by Cengage) and The Essentials of Conditioning and Learning (published by the American Psychological Association). The number of talks and range of topics is sufficient to make up all of the lectures needed for a course on learning.

The basic processes involved in manufacturing systems are demonstrated while students produce their own picture frames. They learn about cutting, shaping, assembly, joining and finishing, as well as attention to quality, safety and production quantity.

The course is structured around a core of fundamental concepts concerning how we view organizations, and the application of these concepts to basic domains of action crucial for contemporary businesses: sensemaking, learning, knowing, and change. We view organizations as enacted systems, wherein humans are continually shaping the structures that influence their action in turn. In other words, we create the systems that then create us.

This course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm.
More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. If time permits, it covers equalization of linear Gaussian channels.

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

By the end of this section, you will be able to:Define operant conditioningExplain the difference between reinforcement and punishmentDistinguish between reinforcement schedules