Course Schedule - Spring Semester 2022

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
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COLL 134 001 (CRN: 25673)

SPEEDSOLVING THEORY

Long Title: FUNDAMENTALS OF TWISTY PUZZLE AND SPEEDSOLVING THEORY (LOVETT)
Department: College Courses
Instructor: Chang, Kevin L.
Meeting: 7:00PM - 7:59PM M (10-JAN-2022 - 22-APR-2022) 
Part of Term: Full Term - No WL Purge
Grade Mode: Satisfactory/Unsatisfactory
Course Type: Seminar
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 18
Section Enrolled: 13
Waitlisted: 0 (Max 99) 
Current members of the waitlist have priority for available seats.
Enrollment data as of: 11-OCT-2024 3:19PM
 
Additional Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
29-APR-2022  
2:00PM - 5:00PM F
 
Description: There are many ways to solve the Rubik’s Cube, often cited as the world’s most popular toy and the archetype of twisty puzzles, which vary greatly in difficulty and complexity. Unfortunately, when learning these methods, many beginners prioritize brute-force algorithm memorization over an intuitive understanding of twisty puzzle behavior and why these algorithms accomplish what they claim to do. Although advanced solution methods indeed are heavily reliant on algorithm memorization, learning introductory solution methods in this way will lead to rapid decay of their mastery. Thus, how does an intuitive understanding of twisty puzzles affect the long-term learning and application of their solution methods? In this course, students will learn the mathematical basis of twisty puzzle behavior, predominant methods of solving the Rubik’s Cube (3x3) and Rubik’s Revenge (4x4), and ways of constructing solves and critiquing their efficiency. Students should expect to spend time each week practicing solves of the 3x3 and 4x4, commentating on the choices they make to solve increasingly large portions of these puzzles. Students will also regularly analyze solution methods for the 3x3 and 4x4, through both physical manipulation and computer simulation of twisty puzzles.