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CSE 3358 Note Set 1

CSE 3358 Note Set 1. Data Structures and Algorithms. CSE 3358 . Data Structures Lectures: TTh 8:00 – 9:20am., SIC 362 Labs: N11: Tu 3:30 – 4:50, Junkins 102 N12: F 1:00 – 2:20, Junkins 102. Instructor Contact Info. Mark Fontenot SIC 351B mfonten@lyle.smu.edu 214-768-2854

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CSE 3358 Note Set 1

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  1. CSE 3358 Note Set 1 Data Structures and Algorithms

  2. CSE 3358 • Data Structures • Lectures: • TTh 8:00 – 9:20am., SIC 362 • Labs: • N11: Tu 3:30 – 4:50, Junkins 102 • N12: F 1:00 – 2:20, Junkins 102

  3. Instructor Contact Info • Mark Fontenot • SIC 351B • mfonten@lyle.smu.edu • 214-768-2854 • Office Hours: • MW 11 – 12 • Feel free to stop by any time my office door is open • Contact Debra McDowell (debra@lyle.smu.edu) to make an appointment

  4. TA • WaelKdouh • wkdouh@smu.edu • Office Hours: • SIC 317 • Wed 1 - 4

  5. Book • Required: • Mark Allen Weiss. Data Structures and Algorithm Analysis in C++, Third Ed. Addison Wesley • Supplemental: • Adam Drozdek. Data Structures and Algorithms in C++, Third Ed. Thompson/Course Technology.

  6. Overview of Course Material • Introduction to classic data structures • Complexity Analysis • Review of elementary data structures (lists, stacks, queues) • Trees • Hashing • Heaps/Priority Queues • Graphs • Sorting Algorithms • Advanced topics (as time permits)

  7. Evaluation • Two Additional Caveats: • An average of less than 60% on exams will result in maximum grade of D in the course • An average of less than 60% on programming projects/assignments will result in maximum grade of D in the course

  8. Attendance • Vitally Important • Attendance will be occasionally/randomly collected • Bottom Line: Come to class!

  9. Academic Honesty • Talking about concepts with friends is OK • Solving homework problems together is NOT OK! • Form Study Groups to study for test, review concepts. • Don’t do your homework assignments together.

  10. Lab • Lab is Mandatory • Lab time will be used in various ways • Help with implementation projects • Problem solving sessions • Introduction to different technologies as appropriate

  11. Assignment Submission • For each homework assignment • Submit written solutions at the beginning of class or on Blackboard on due date indicated on assignment • For each implementation project • Submit source code to BlackBoard buy due date • Submit lab report at beginning of class immediately following due date • Late assignments will not be accepted without approval from Prof. Fontenot

  12. Announcement • Next Thursday – No Class • Follows a Monday schedule.

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