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This introductory course in improvisation will investigate spontaneous problem solving as a means of generating movement for dance composition. Students will be called upon to explore and respond to various forms of stimuli in a safe and supportive learning environment within solo and group work. Integrated with credit DANC-1201. For questions regarding dance classes, please contact Catherine Solaas csolaas@austincc.edu.
A playful approach conducive to the beginner, this class allows any individual an opportunity to experience living in the imaginary world of a character and a story while expanding their own self-expression and emotional life. Students will learn how to investigate a script as well as explore their own intuition through games, exercises, and scenes from film and stage. The class is designed to be taken more than once, as it is different in meaningful ways each time — ever-changing with the instructor, fellow students, and the material chosen for the class. In addition, while we are a professional training school, our beginning courses are for anyone who is curious about acting, seeking to expand their creativity, wanting a new challenge, or just to have fun.
An examination of major theories of various treatment modalities. Topics include reality therapy, psychodynamics, grief therapy, person-centered therapy, rational emotive therapy, and cognitive behavioral approaches. (R) Integrated with college credit PSYT 2339. (LCDC, SW)
Introduces Portuguese through rhythm of the language by exploring vocabulary and phonemic (sound) awareness. Students are invited to learn about some aspects of Brazilian culture, for instance, music, fashion, culinary and dance. Participants will be engaged in activities, such as skits and playing games that help develop basic conversation skills.
Data Analytics
Course Code: ITNW-2074
Program Area: Computer Science & Information Technology
This course introduces the student to the scope and application of data analysis. It covers data manipulation, data visualization, predictive analytics, and decision analytics tools. Learn how to review data and present it in an understandable format to facilitate making business decisions. Suggested prerequisites: Analytics with Excel or equivalent knowledge. Required textbook: Data Analytics Made Accessible: 2020 edition (Kindle Edition) by Maheshwari, Anil. ASIN: B00K2I2JL8.
Continuation of CHIN 1411 with more advanced conversation, basic writing, listening and reading comprehension, vocabulary building, grammar, and culture. This course fosters deeper understanding of Chinese-speaking people through cultural comparison and development of written and spoken communication. Prerequisite: Students must have completed a first semester college Chinese course of at least four semester hours with a grade of C or better, or have equivalent credit by examination.