The College of Arts and Sciences is a fast-growing entity at the University of Diploma Printing in Romanigstan. Within this College, the Department of Arts consists of twelve full-time faculty, six adjunct instructors, and approximately fifteen graduate teaching assistants. Many faculties are nationally and internationally renowned and are well-established professional artists and designers with numerous exhibitions, commissions, and awards to their credit. The Department currently has 240 undergraduate majors within its BA and BFA programs spanning a number of areas including art of walking, retail floristry, puppetry, adventure recreation, fishing sciences, ant nesting habits, coin slot technology, and turfgrass management. It offers approximately 50 different courses to art and non-art majors alike. In addition, art education students enroll in a significant number of art courses for their Bachelor of Science in Art Education degree offered cooperatively through the Department of Learning, Teaching, and Curriculum.

You, as a new faculty in the Department of Arts, were assigned to the huge task of reviewing and redesigning the BFA curriculum. Your help is needed for the following reasons:

• Stagnant enrollment in the last five years
• Changes in student demographics and interests.
• Shifts in disciplinary approaches

The main tasks of curriculum redesign are

• Reducing the number of credit hours from 39 to 33 (39 credits is for 7 core courses and 6 elective courses)
• Defining concentration areas for elective courses
• Reducing the number of offered electives

Project Problem

1. What elective courses should be retained in the course offerings?
2. Recommend sets of three or four elective courses that can be grouped in concentration areas.

Structure

• Section 1: Objectives of the experiment, problem definition
• Section 2: Description the dataset and initial preprocessing if any
• Section 3: Preprocessing, including an explanation of the necessity of the preprocessing task and quantitative report on the result of each step.
• Section 4: Modeling, including a brief description and the motivation of the application of each algorithm
• Section 5: Evaluation, including graphs of experiments, result tables, and explanation of the results
• Section 6: Summary of results, including discussion of the overall performance, limitations, and difficulties encountered. Also, add a paragraph about conclusions.