Keith J. O'Hara

teaching

CMSC 201

Data Structures (S2017)

overview | logistics | schedule | labs | presentations | resources

Lecture: Mon & Wed 10:10am-11:30am (RKC 100)
Lab: Fri 10:30am-12:30pm (RKC 100)
Office Hours: Tue 3pm-4pm; Wed/Fri 9am-10am and by appointment (RKC 204)

Textbook

• Algorithms. Sedgewick and Wayne. 4th Edition. 2011. Pearson.

Grade Breakdown

• Exams (60%): Three closed book exams
• Labs (25%): Weekly programming assignments
• Homework & Quizzes (10%): Paper-and-pencil assignments
• Presentation (5%): Presentation of an advanced data structure

Policies

• Attend class.
• Be on time.
• Participate.
• Check moodle.
• Come to class prepared. Make sure to have read the required reading BEFORE class.
• Complete all assignments and start early.
• Network outages and other computer problems are not valid excuses for missing deadlines; take this into account in your planning.
• Cooperate, but don't copy.
  • Credit work, including all sources you used from the web, other books, etc.
  • Sharing ideas is encouraged, but blatantly copying work without attribution will be treated as scholastic dishonesty and receive no credit.
  • Keep your assignment and lab work private, a USB flash drive is recommended.
• In general, no credit will be given for programs that do not compile.
• Late work will not be accepted after one week; 10% of the total possible credit is lost per day.
• Quizzes and exams cannot be taken late without prior special permission.