代写CSE 101 Introduction to Data Structures and Algorithms Winter 2024代做C/C++编程

CSE 101

Introduction to Data Structures and Algorithms

Winter 2024

Description: Introduction to abstract data types and basics of algorithms. Linked lists, stacks, queues, hash tables, trees, heaps, and graphs will be covered. Students will also be taught how to derive big-Oh analysis of simple algorithms. All assignments will be in C/C++.

Prerequisites:   CSE 12 or BME 160; CSE 13E or ECE 13 or CSE 13S; and CSE 16; and CSE 30; and MATH 11B or MATH 19B or MATH 20B or AM 11B.

Lecture:  TTh 3:20pm - 4:55pm  Kresge 3105

Class Webpage:https://people.ucsc.edu/~ptantalo/cse101/Winter24/

Instructor:  Patrick Tantalo  https://users.soe.ucsc.edu/~ptantalo/ Email: ptantalo@soe.ucsc.edu

Office Hours:  Wednesday: 10:00am - 12:00pm & 2:00pm - 4:00pm Zoom Link  (Uses CruzID GoldMeeting ID: 950 0400 0649

Dates: Wednesday January 10 - Wednesday March 13

Teaching Assistants:

Vincent Tan                            ([email protected])

Engin Tekin                            ([email protected])

Saeed Kargar                          ([email protected])

Sai Venkat Malreddy              ([email protected])

Akashleena Sarkar                  ([email protected])

Amin Karbas                          ([email protected])

Jacqueline Yan                       ([email protected])

Karthik K Bhat                       ([email protected])

Course Tutors:  TBA

LSS Large Group Tutors:

Tony Umemoto                      ([email protected])

Xavier Thompson                   ([email protected]du)

Required Text:

Introduction to Algorithms (3rd  edition) by Cormen, Leiserson, Rivest and Stein. MIT Press 2009 (ISBN 978-0-26-203384-8)

Recommended Texts:

Open Data Structures (pseudo-code edition) by Pat Morin.https://opendatastructures.org/

Data Abstraction & Problem Solving with C++ (6th edition) by Carrano & Henry.  Pearson 2013 (ISBN 978-0-13-292372-9)

Coursework:

50% Programming Assignments:  Eight projects due at roughly 7-8 day intervals 15% Midterm Exam 1:  Thursday, February 1  (3:20-4:25pm, lecture to follow)   15% Midterm Exam 2:  Thursday, February 29  (3:20-4:25pm, lecture to follow) 20% Final Exam:   Monday, March 18 (4:00-5:30pm)

All scores are rounded to the nearest 10th  of a percent. They will not be rounded further.  No scores are curved.  The following letter grade boundaries will be used to determine your grade in the class.

Grading scale:

A+       99.0% - 100%

A         94.0% - 98.9% 

A-        91.0% - 93.9%

B+       89.0% - 90.9%

B         84.0% - 88.9% 

B-        81.0% - 83.9%

C+       79.0% - 80.9%

C         70.0% - 78.9% 

C-        68.0% - 69.9%

D+       65.0% - 67.9%

D         61.0% - 64.9% 

D-        59.0% - 60.9% 

F              0% - 58.9%




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