CS35 Spring 2011

Announcements

Final May 12th 2pm–5pm Sci 128

Introduction

This course completes the broad introduction to computer science begun in CS21. It provides a general background for further study in the field. Topics to be covered include object-oriented programming in C++, advanced data structures (such as priority queues, trees, hash tables, and graphs), advanced algorithms, as well as software design and verification. Students will be expected to complete weekly lab assignments illustrating the concepts presented.

Prerequisite: CPSC 21 or permission of the instructor. This course is designated as a Natural sciences and engineering practicum.

Goals for the course

Understand the basic principles of object-oriented programming and learn how to create programs in C++ using this paradigm.
Understand asymptotic growth and big-O notation.
Analyze the performance of algorithms in terms of big-O notation.
Given an algorithm, learn how to argue that it correctly solves the problem for which it was designed.
Given a description of a data structure and its operations, write code to implement the data structure in C++.
Understand the difference between an abstract interface and the implementation of that interface.
Given multiple implementations of a data structure, analyze the performance of each implementation in terms of run-time and memory use and understand the tradeoffs of using one approach over another.
Be able to combine multiple data structures in a coherent way to solve problems of moderate complexity.

Class information

Room: Science Center 128
Class: Tuesday, Thursday 1:15pm–2:30pm
Labs: Friday 1:00–2:30pm and 2:40–4:10pm
Text: Data Structures and Algorithms in C++ by Goodrich, Tamassia and Mount

Instructional staff

Professor: Andrew Danner
Office: Science Center 253
Phone: 328-8665
Office hours: by appointment. Drop by if my door is open, or email me to set up a time

Student Support: Betsy Horner
Office: Science Center 257
Phone: 957-6062

Student Mentors (aka Ninjas): Sarah Chasins, David D'Annunzio, Greg Rawson, Nick Rhinehart, Chloe Stevens

Schedule

WEEK	DATE	ANNOUNCEMENTS	TOPIC & READING	LAB
1	Jan 18		Introduction to C++ Ch1: pages 2-8, 10(strings), 16(using), 17-30	inclass: intro Lab 1
	Jan 20
2	Jan 25		Object-Oriented Design in C++ Ch1: pages 33-38, 46-56; Ch2: pages 62-88	inclass: OOP Lab 2
	Jan 27	Drop/Add ends (Jan 28)
3	Feb 01		Complexity Analysis Ch3: pages 108-134	Lab 3
	Feb 03
4	Feb 08		Stacks and Queues Ch4: pages 156-182	Lab 4
	Feb 10	Quiz 1 (Feb 11)
5	Feb 15		Linked Lists Ch5: pages 217-226	Lab 5
	Feb 17
6	Feb 22		Sorting Ch10: pages 484-497, 504-521	Lab 6
	Feb 24
7	Mar 01		Trees Ch6: pages 254-280, 414-420
	Mar 03
	Mar 08	Spring Break
	Mar 10
8	Mar 15		Balanced Search Trees Ch9.3,9.4: pages 437-448	Lab 7
	Mar 17
9	Mar 22		Priority Queues Ch7: pages 312-324, 330-348	Lab 8
	Mar 24	Last day to declare CR/NC or withdraw with a "W" (Mar 25)
10	Mar 29		Dictionaries	Lab 9
	Mar 31
11	Apr 05		Graphical User Interface	Lab 10
	Apr 07
12	Apr 12		Graphs Ch12: pages 576-594	Lab 11a
	Apr 14
13	Apr 19		More Graphs Ch12: pages 625-633	Lab 11
	Apr 21
14	Apr 26		Catch-Up/Review
	Apr 28
	May 12	Final 2pm–5pm Sci 128

Grading

Your overall grade in the course will be determined as follows:

40%	Lab assignments
30%	Quizzes
5%	Class Participation
25%	Final Exam

Lab assignment policy

Assignments will be introduced during lab on Fridays and will be due before midnight the following Wednesday night. You are strongly encouraged to start early and to attend the study sessions on Monday nights.

You will submit your assignments electronically using the handin35 program. You may submit your assignment multiple times, but each submission overwrites the previous one and only the final submission will be graded. Late assignments will not be accepted unless you contact me before the deadline, and even then extensions are only provided under extreme circumstances beyond student control. Even if you do not fully complete an assignment, you should submit what you have done to receive partial credit.

Study Sessions

Student mentors will assist me in class and run study sessions Mondays 7-11pm.

You are invited -- and encouraged -- to participate in these study sessions to prepare for quizzes, to discuss programming concepts, and to get friendly assistance in working on lab assignments. As an added bonus, snack may occasionally be provided.

Academic Accommodations

Academic accommodations are available for students with disabilities who are registered with Student Disability Services in the Dean's office.

If you believe that you need accommodations for a disability, please contact Tracey Rush in the Office of Student Disability Services, located in Parrish 113, or e-mail trush1 for an appointment to discuss your needs and the process for requesting accommodations. Tracey Rush is responsible for reviewing and approving disability-related accommodation requests and, as appropriate, she will issue students with documented disabilities an Accommodation Authorization Letter. Since accommodations may require early planning and are not retroactive, please contact her as soon as possible.

You are also welcome to contact me privately to discuss your academic needs. However, all disability-related accommodations must be arranged through Tracey Rush in the Office Of Student Disability Services.

Academic Integrity

Academic honesty is required in all work you submit to be graded. You may not submit work done with (or by) someone else. You may not examine or use work done by others to complete your own work. You may discuss assignment specifications and requirements with others in the class to be sure you understand the problem. In addition, you are allowed to work with others to help learn the course material. However, with the exception of the student mentors and your partner on group assignments, you may not work with others on your assignments.

All code you submit must be your own with the following permissible exceptions: code distributed in class, code found in the course text book, and code worked on with an partner. In these cases, you should always include detailed comments that indicates on which parts of the assignment you received help, and what your sources were.

"It is the opinion of the faculty that for an intentional first offense, failure in the course normally is appropriate. Suspension for a semester or deprivation of the degree in that year may also be appropriate when warranted by the seriousness of the offense." - Student Handbook (2010-2011, pg36 Section A.4.b.i)

Please see me if there are any questions about what is permissible.

CS35 — Data Structures and Algorithms