Csc 212 data structures
Download
1 / 21

CSC 212 – Data Structures - PowerPoint PPT Presentation


  • 92 Views
  • Uploaded on

CSC 212 – Data Structures. Prof. Matthew Hertz WTC 207D / 888-2436 [email protected] Objectives Met in CSC212. Design computational solutions Decompose a problem into logically grouped subprograms Develop and analyze algorithms Program well Code in a high-level language

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' CSC 212 – Data Structures' - metea


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Csc 212 data structures

CSC 212 –Data Structures

Prof. Matthew Hertz

WTC 207D / 888-2436

[email protected]


Objectives met in csc212
Objectives Met in CSC212

  • Design computational solutions

    • Decompose a problem into logically grouped subprograms

    • Develop and analyze algorithms

  • Program well

    • Code in a high-level language

    • Debug a program

    • Write and use a test plan

    • Document a program

    • Work independently

  • Organize data for effective use

    • Use fundamental data structures

    • Implement data structures

  • Understand the role of computing and the computer professional

    • Present or explain ideas

    • Weigh different solutions and explain or argue why one was preferable


High level objectives
High-level Objectives

  • Become excellent coders via deeper understanding of programming process

  • Develop algorithmic “toolbox” of solutions

  • Have fun


Expectations of me
Expectations of Me

  • Lectures are prepared and organized

  • Environment where all students can learn

  • Give interesting and thoughtful problems

  • Be (reasonably) available to answer questions

  • Be honest and forthright


Teaching style
Teaching Style

  • Interested in reasoning over answer

    • Will not face the same question again

    • Answer meaningless if just a lucky guess

    • Mastery means being able to explain how & why

  • Participation is vital

    • Cannot help until I know where you are having trouble

    • Keep all students active and involved


Teaching methodology
Teaching Methodology

  • Adult Learning

    • Students read material before class

    • (Short) lecture explains key topics & ideas

      • Provides 1st opportunity answer questions

      • Keeps class moving and interesting

    • Students work in teams to solve problems

      • Develop deeper understanding of material

      • (Nearly) Penalty-free chance to make mistakes


Expectations of you
Expectations of You

  • Work hard

  • Come to class prepared

  • Be polite and a good teammate

  • Ask for help early and often

  • Let me know what you are thinking


Attendance
Attendance

  • Attendance is mandatory

  • You are responsible for every class

  • Missing class is not acceptable excuse

  • Best way to earn a poor grade: skip class


Deadlines
Deadlines

  • Work must be submitted by time it is due

    • Late work will not be accepted

    • Make-ups will not be given

  • Talk to me as soon as you know making a deadline will be difficult

    • Talking to me sooner improves chance we can work something out


Attack of real life
Attack of Real Life

  • When life happens…

    • Get a note from the Dean

    • Be prepared to show documentation

    • Talk to me as soon as you can

  • We will find a workable solution


Course grading
Course Grading

  • Midterms given on Oct. 2nd and Nov. 20th

  • Final covers entire semester

  • ~6 programming projects during semester


Course grading goals
Course Grading Goals

  • Lots of opportunities to learn and improve

  • Present material in variety of ways

  • Develop thorough understanding expected in later classes

  • Catch and correct problems early

  • I am mean & like watching students suffer


Grading rubric

“A”

Know material

Few small mistakes

“B”

Good understanding of topic

Miss a few “boundary cases”

“C”

Know idea, fuzzy on details

Miss large number of boundary cases -or-

Solution is close, but not quite correct

“D”

Vague on idea, details are a blur

Only solves general case -or-

Solution usually incorrect -or-

Solution rarely crashes

“F”

Started day before its due

Solution rarely correct -or-

Crashes regularly -or-

Code cannot compile

Grading Rubric


Learning styles
Learning Styles

  • People have different ways in which they best take in and process information

  • Important for each student to discover what is best for them

  • Will try presenting material visually, verbally, written, and kinetically

    • Let me know what works for you

    • Let me know what DOESN’T work for you


Collaboration
Collaboration

  • Fellow students are a great resource

    • Different styles of learning yields multiple levels of understanding

    • Get together, discuss material, and study

    • Answer lingering questions you have

    • Clarify what a problem is asking

    • (Most of you) take many classes together, may as well start interacting


Collaboration1
Collaboration

  • Work you submit must be done by you

  • If discussing homework or projects

    • Leave conversation with memories only

    • Wait at least 15 minutes before writing anything

    • Never seen 2 people submit similar solutions when they actually wait

  • When in doubt, ask me


Textbook
Textbook

  • Michael Goodrich and Roberto Tamassia:Data Structures and Algorithms in Java, 4th edition, Wiley, 2006.

  • Available at bookstore

  • CSC 212 covers half of the book

    • Remainder covered in CSC213


Course website
Course Website

http://cs.canisius.edu/~hertzm/csc212f06

  • Contains slides, announcements, other important information

  • Does not replace actually attending class


Personal information sheet
Personal Information Sheet

Name: Matthew Hertz

Year: 2nd year

Major: Computer Science

Previous Computer Experience: B in CS1 at MBHS

I am in this course because: Enjoy helping novice coders and seeing them develop and grow

I chose Canisius because… Wanted a school which values teaching & had students with

whom I could work.


ad