csc 212 – data structures prof. matthew hertz wtc 207d / 888-2436 hertzm@canisius.edu
Post on 21-Dec-2015
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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
Become excellent coders via deeper understanding of programming process
Develop algorithmic “toolbox” of solutions Have fun
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
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
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
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 is mandatory You are responsible for every class Missing class is not acceptable excuse Best way to earn a poor grade: skip class
Deadlines
Work must be submitted by time it is dueLate work will not be acceptedMake-ups will not be given
Talk to me as soon as you know making a deadline will be difficultTalking to me sooner improves chance we
can work something out
Attack of Real Life
When life happens…Get a note from the DeanBe prepared to show documentationTalk to me as soon as you can
We will find a workable solution
Course GradingItem Worth
Midterms 32%
Final 25%
Weekly Assignments 14%
Daily Exercises 5%
Projects 24%
Midterms given on Oct. 2nd and Nov. 20th
Final covers entire semester ~6 programming projects during semester
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
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 kineticallyLet me know what works for youLet me know what DOESN’T work for you
Collaboration
Fellow students are a great resourceDifferent styles of learning yields multiple
levels of understandingGet together, discuss material, and studyAnswer lingering questions you haveClarify what a problem is asking(Most of you) take many classes together,
may as well start interacting
Collaboration
Work you submit must be done by you If discussing homework or projects
Leave conversation with memories onlyWait at least 15 minutes before writing
anythingNever seen 2 people submit similar solutions
when they actually wait When in doubt, ask me
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
http://cs.canisius.edu/~hertzm/csc212f06
Contains slides, announcements, other important information
Does not replace actually attending class
Personal Information SheetName: Matthew HertzYear: 2nd yearMajor: Computer SciencePrevious Computer Experience:
B in CS1 at MBHSI am in this course because:
Enjoy helping novice coders and seeing them develop and growI chose Canisius because…
Wanted a school which values teaching & had students with whom I could work.
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