IT 310: Data Structures and Algorithms
Covers fundamental data structures and algorithmic design techniques. Students analyze Big-O asymptotic notation, study arrays, linked lists, stacks, queues, hash tables, binary search trees, heaps, and graphs, alongside sorting and searching algorithms to…
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Common aliases: IT 310
Study Resources for Data Structures and Algorithms
Midterm (Exam 1) 2017
Midterm (Exam 2) 2017
Final Exam 2014
Midterm (Exam 1) 2018
Midterm (Exam 2) 2018
Midterm (Exam 1) 2019
Midterm (Exam 2) 2019
Midterm (Exam 1) 2020
Midterm (Exam 2) 2020
Comprehensive Study Guide
Review Quiz 1
Assessment Inventory for IT 310 (11 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2020 | Midterm | 2020 | Illustrative Archive |
| Midterm (Exam 2) 2020 | Midterm | 2020 | Illustrative Archive |
| Midterm (Exam 1) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 2) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2018 | Midterm | 2018 | Illustrative Archive |
| Midterm (Exam 2) 2018 | Midterm | 2018 | Illustrative Archive |
| Midterm (Exam 1) 2017 | Midterm | 2017 | Illustrative Archive |
| Midterm (Exam 2) 2017 | Midterm | 2017 | Illustrative Archive |
| Final Exam 2014 | Final | 2014 | Illustrative Archive |
| Comprehensive Study Guide | Study Guide | — | Illustrative Archive |
| Review Quiz 1 | Quiz | — | Illustrative Archive |
Complete inventory of all 11 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
Course Description
Covers fundamental data structures and algorithmic design techniques. Students analyze Big-O asymptotic notation, study arrays, linked lists, stacks, queues, hash tables, binary search trees, heaps, and graphs, alongside sorting and searching algorithms to optimize computational performance.
This archive catalogs 11 free educational resources and past exams for IT 310 (Data Structures and Algorithms) at Purdue University Global (Purdue Global), containing 8 midterm papers, 1 final examination, 1 quiz, and 1 study guide. Dated documents represent 5 distinct academic years between 2014 and 2020.
Core Exam Topics & Learning Objectives
- Asymptotic algorithmic complexity: Big-O, Big-Theta, and Big-Omega analysis of execution time and space in IT 310
- Linear and hierarchical data structures: linked lists, stacks, queues, binary search trees (BST), and AVL trees for Data Structures and Algorithms
- Hash table implementations: collision resolution techniques (chaining, open addressing) and hash functions in IT 310
- Graph algorithms and sorting efficiency: Dijkstra shortest path, BFS/DFS traversals, QuickSort, and MergeSort at Purdue Global
Frequently Asked Questions
Which assessment formats are cataloged in this IT 310 archive?
This collection for IT 310 at Purdue University Global (Purdue Global) catalogs 11 total resources across the following formats: Midterms, Finals, Quizzes, Study Guides. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this IT 310 collection?
Dated materials in this archive span from 2014 to 2020, representing 5 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free IT 310 past exams?
All cataloged IT 310 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Purdue University Global (Purdue Global) course syllabus.