Welcome to the official site for employment opportunities at MICA. At MICA, we empower our employees to use their talent in a variety of ways. We are pleased that you are interested in career opportunities offered at MICA. General purpose: To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional
perspective. Summary of Essential Functions: Develop and maintain an engaging asynchronous online learning environment via Canvas. Collaborate and coordinate with Program leadership and faculty. Hold virtual office hours for the duration of the class. Provide core instruction to satisfy primary learning objectives of the course. Provide timely feedback on and assessment of student work. Work directly with the
curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas. Essential Duties & Responsibilities: Prepare asynchronous lesson plans for the duration of the course. This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program
learning objectives. Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums. Maintain consistent communication with students: Holding at least one hour of regular virtual office hours every week. Replying to any student communication within 24 hours. Evaluate and provide feedback on student work. This includes providing timely written and/or
audio/video feedback via Canvas and keeping a current gradebook. Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules. Perform other related duties as assigned. Knowledge, Skills, and Abilities: Knowledge of Data Analysis and Visualization subject matter. Courses in this degree
include: Foundations of Data Analytics and Visualization Literacy Statistics and Analysis I Statistics and Analysis II Visual Storytelling I Visual Storytelling II Design Lab: The Industry Challenge Capstone I & II Applicants should have experience and expertise in at least one of the above areas of knowledge. Applicants should be comfortable with using technology in an online learning environment, including Canvas
Summary from the source posting. Always confirm details on the institution's official career page.