Specifications
| Attribute | Value |
| Supplier | IXYS |
| Package / Case | Tube |
| Part Status | Obsolete |
| Diode Type | Schottky |
| Voltage - DC Reverse (Vr) (Max) | 100 V |
| Current - Average Rectified(Io) | 300A |
| Voltage - Forward (Vf) (Max) @ If | 990 mV @ 300 A |
| Speed | Fast Recovery =< 500ns, > 200mA (Io) |
| Current - Reverse Leakage @ Vr | 3 mA @ 100 V |
| Capacitance @ Vr F | 4.86nF @ 12V, 1MHz |
| Mounting Type | Chassis Mount |
| Supplier Device Package | SOT-227B |
Overview
Description
DSA300I100NA is likely a university-specific course code for an Introduction to Data Structures and Algorithms (DSA). I don’t have your institution’s exact syllabus, but a typical offering includes:
- Focus: develop ability to design, implement, and analyze data structures and algorithms for efficient problem solving.
- Core topics: Big‑O notation and complexity analysis; arrays, linked lists; stacks and queues; trees (BSTs, AVL/balanced variants); heaps; hash tables; graphs (adjacency, traversals); sorting and searching; recursion; dynamic programming; greedy algorithms; basic graph algorithms (BFS, DFS, Dijkstra).
- Tools/languages: usually a language like Python, Java, or C++; IDEs; version control (Git).
- Prereqs: solid programming experience and some discrete mathematics or algorithm basics.
- Assessments: labs/programming assignments, quizzes, midterm and final exams.
- Outcomes: read/understand algorithms, implement data structures from scratch, analyze efficiency, choose appropriate approaches, optimize solutions.
If you share the exact catalog link or syllabus, I can tailor this precisely.
- Focus: develop ability to design, implement, and analyze data structures and algorithms for efficient problem solving.
- Core topics: Big‑O notation and complexity analysis; arrays, linked lists; stacks and queues; trees (BSTs, AVL/balanced variants); heaps; hash tables; graphs (adjacency, traversals); sorting and searching; recursion; dynamic programming; greedy algorithms; basic graph algorithms (BFS, DFS, Dijkstra).
- Tools/languages: usually a language like Python, Java, or C++; IDEs; version control (Git).
- Prereqs: solid programming experience and some discrete mathematics or algorithm basics.
- Assessments: labs/programming assignments, quizzes, midterm and final exams.
- Outcomes: read/understand algorithms, implement data structures from scratch, analyze efficiency, choose appropriate approaches, optimize solutions.
If you share the exact catalog link or syllabus, I can tailor this precisely.
Manufacturer
Manufacturer: Delta Electronics, Inc. (Delta).
About the company: Delta is a Taiwanese multinational that designs and manufactures energy-efficient power management and automation solutions, including power supplies, motor drives/servo drives, inverters, and other industrial automation products.
About the company: Delta is a Taiwanese multinational that designs and manufactures energy-efficient power management and automation solutions, including power supplies, motor drives/servo drives, inverters, and other industrial automation products.
Package
Can't determine package from the part number alone. DSA300I100NA could come in multiple package types depending on the manufacturer (e.g., TO-220 or TO-263/D2PAK). Please provide the manufacturer or a datasheet.
