Data Structures and Algorithms in Python
CSE-41347
Elevate Your Python Programming Mastery with Data Structures and Algorithms
Our algorithm and data structures course will teach you how to write code that scales with large data sets and identify hidden performance bottlenecks. While the concepts covered in this course are addressed in Python, they can be applied to all programming languages and software development domains. By the end of this course, you’ll have a strong understanding of fundamental algorithms and data structures and be equipped to answer commonly asked interview questions.
Course Highlights:
- Algorithmic Foundations
- Search and Analysis
- Sorting Techniques
- Lists Mastery
- Stacks and Queues
- Hash Tables
- Tree Structures
- Advanced Algorithms
Course Learning Outcomes:
- Write code that is scalable and performs optimally with large datasets
- Analyze and optimize algorithmic efficiency to identify and rectify performance bottlenecks
- Gain foundational knowledge applicable to standard libraries in Python and other programming languages
- Excel in algorithm and data structure questions frequently encountered in programming job interviews
- Develop object-oriented solutions and apply advanced Python programming techniques
Required Textbook: This course will utilize an interactive STEM zyBook ISBN: 979-8-203-39723-2. Students can begin subscribing 9/10/24. The cutoff to subscribe is 11/20/24. Subscriptions will last until 12/07/24. A subscription costs $69.00.
In order to acquire your subscription follow these simple instructions.
- Sign in or create an account at learn.zybooks.com
- Sign in Enter zyBook code: UCSDCSE41347GappyFall2024
- Subscribe
Course Typically Offered: Online in Spring and Fall quarters.
Prerequisite: CSE-41273 Python Programming Fundamentals or equivalent knowledge and experience.
Next Step: After completing this course, consider taking other course in our Python Programming Certificate.
Contact: For more information about this course, please email infotech@ucsd.edu.
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 9/30/2024
Schedule:
Instructor:
James Gappy, M.S.
Senior Software Engineer, Sony
James Gappy earned his master's in Computer Science/Engineering from Wayne State University. He is a professor at Mesa College where he teaches programming.
