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CSE373: Data Structures & Algorithms Lecture 23: Course Victory Lap

This lecture covers the final exam details and logistics, as well as a review of the main themes of the course. It also includes course evaluations and feedback. The victory lap highlights the achievements of the course and expresses gratitude to TAs and students. The lecture concludes with reflections on the course and advice for students.

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CSE373: Data Structures & Algorithms Lecture 23: Course Victory Lap

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  1. CSE373: Data Structures & AlgorithmsLecture 23: Course Victory Lap Dan Grossman Fall 2013

  2. Today • Finish parallel-program analysis • Rest-of-course logistics: exam, etc. • Review of main course themes • Course evaluations • Thoughtful and constructive feedback deeply appreciated • (Including what you liked) CSE373: Data Structures & Algorithms

  3. Final Exam As also indicated on the web page: • Next Tuesday, 2:30-4:20 • Cumulative but topics post-midterm-2 worth about 2/3 of the points • See information on course web-page • Not unlike the midterms in style, structure, etc. • Tough-but-fair exams are the most equitable approach • And/but 110 minutes will make a big difference CSE373: Data Structures & Algorithms

  4. Victory Lap A victory lap is an extra trip around the track • By the exhausted victors (that’s us)  Review course goals • Slides from Lecture 1 • What makes CSE373 special CSE373: Data Structures & Algorithms

  5. Thank you! Big thank-you to your TAs • Amazingly cohesive “big team” • Prompt grading and question-answering • Optional TA sessions weren’t optional for them! CSE373: Data Structures & Algorithms

  6. Thank you! And huge thank you to all of you • Great attitude • Good class attendance and questions for the largest-ever (?) CSE373 • Thoughts on how to “make it feel smaller” appreciated • Occasionally laughed at stuff  CSE373: Data Structures & Algorithms

  7. Now threeslides, completely unedited, from Lecture 1 • Hopefully they make more sense now • Hopefully we succeeded CSE373: Data Structures & Algorithms

  8. Data Structures • Introduction to Algorithm Analysis • Lists, Stacks, Queues • Trees, Hashing, Dictionaries • Heaps, Priority Queues • Sorting • Disjoint Sets • Graph Algorithms • May have time for other brief exposure to topics, maybe parallelism CSE373: Data Structures & Algorithms

  9. What 373 is about • Deeply understand the basic structures used in all software • Understand the data structures and their trade-offs • Rigorously analyze the algorithms that use them (math!) • Learn how to pick “the right thing for the job” • More thorough and rigorous take on topics introduced in CSE143 (plus more new topics) • Practice design, analysis, and implementation • The elegant interplay of “theory” and “engineering” at the core of computer science • More programming experience (as a way to learn) CSE373: Data Structures & Algorithms

  10. Goals • Be able to make good design choices as a developer, project manager, etc. • Reason in terms of the general abstractions that come up in all non-trivial software (and many non-software) systems • Be able to justify and communicate your design decisions Dan’s take: • Key abstractions used almost every day in just about anything related to computing and software • It is a vocabulary you are likely to internalize permanently CSE373: Data Structures & Algorithms

  11. Last slide What do you think was good about 373? What could be improved? Advice: • Make the most of your time at UW and beyond • You have learned the key ideas for organizing data, a skill that far transcends computer science CSE373: Data Structures & Algorithms

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