University of Maryland

CMSC 420 Data Structures, Spring 2021

Current Announcements
  • Welcome to the Spring, 2021 edition of CMSC420, an on-line version of the Data Structures class that covers the same material as in prior semesters, but all of the coursework and grading assessments are on-line. Your exclusive source for everything course related is the ELMS CMSC420 page . This includes essential course information, TA office hours, lectures, and additional resources. We prefer to answer all course-related questions on piazza to give all students equal access to all information. This policy is extremely important when there are no scheduled on-campus meetings. The course syllabus contains more information regarding course procedures and content, including a discussion of relevant University Policies.
Latest Project Specification
  • Your project will be the same as that for Dr. Mount's Class.
Course Essentials
  • Lectures: no in-person lectures.
  • Instructor: Michelle Hugue 
  • Email: meeshATumd.edu 
  • Office: 1250 IRBs 
  • Hours: Remote, where anyone in the class can join(TBD); Live on campus(TBD) ; and by appt (TBD) 
  • Book(s): A Practical Introduction to Data Structures and Algorithms (Shaffer --Required (free versions) 
  • Design and Analysis of Spatial Data Structures (Samet--Optional) or Foundations of Multidimensional and Metric Data Structures (Samet--Optional) Morgan Kaufmann, San Francisco, CA, 2006.
    Course Content
    • Syllabus on Elms
    • Regular grading events:"Self Quizzes": extremely short on-line autograded quiz per week, with at least 2 dropped. (10%)
    Major Scheduled Grading Events
      Short Tests, available by noon on start day, submitted to gradescope by 11:59pm some later day. Start days: 2/10, 3/3, 3/24, 4/21, 5/5 (best 4 of 5)

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