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Stained Glass Workshop (Copper Foil Technique). Learn the basics of stained glass in this introductory hands-on class. Each student will learn the skills to complete a beautiful stained glass panel, including glass cutting, grinding, soldering, and finishing following the copper foil method (derived by L. C. Tiffany). No previous experience with glass is required. All tools, materials, and necessary equipment will be provided.
Students with mild to moderate intellectual and developmental disabilities will benefit from the course. The course will focus on appropriate social behavior at school or work. Students will practice appropriate workplace behavior, learn about building healthy friendships and how to handle conflict. This course is geared toward supporting students with intellectual and developmental disabilities. Contact Christine Price at (512) 223-7856 or via email to cprice12@austincc.edu for additional information.
Introduction to Laban Movement Analysis is a LABAN/Bartenieff Institute of Movement Studies endorsed introductory course. After successful completion of this course, students will receive a certification through LIMS. Introduction to the major themes of Laban Movement Analysis, through theoretical and experiential hands-on work. This course will be taught in person. Instructor email is ellen.bartel@austincc.edu. For questions regarding this program, contact Katherine Brady at katherine.brady@austincc.edu.
Computer applications specific to business-related software. Emphasizes the concurrent development of office skills and computer knowledge. This skill development specifically includes MS Windows and Outlook. This course covers the required skill sets on the Microsoft Office Specialist (MOS) specialist-level exam for Outlook. Formerly known as POFI 1204 Computer Fundamentals: MS Windows/Outlook.
Required textbook (e-book) is available through Blackboard at acconline.austincc.edu.
Suggested prerequisites: POFT 1070 Administrative Assistant
Python Data Analysis
Course Code: ITSE-2072
Program Area: Computer Science & Information Technology
This course is meant for everyone who wants to use Python for analyzing data and/or data science, whether they are veteran Python users, experienced programmers, statisticians, or looking to take basic python skills to the next level. The course will cover topics covering the whole analysis pipeline, including reading data, visualization, data manipulation, modeling, and machine learning. Suggested prerequisite is basic Python knowledge or ITSE 2079 Introduction to Python.
Continuation of Precious Metals I with a focus on productivity, incorporating precision elements such as mechanisms, fancy-shaped stone settings, and/or highly symmetric structures, with an introduction to working with platinum. Prerequisite: JLRY-2035. Combined with credit JLRY-2436.