Data Structures & Algorithms using Java
Original price was: ₹6,999.00.₹5,999.00Current price is: ₹5,999.00.
Description
Topics covered in the course includes: data abstraction, a survey of linear data structures, nonlinear data structures, a discussion of more advanced internal and external sort and search algorithms, and The algorithm analysis and trade-offs study shall be done. Implementations and their efficiency in C Language shall be considered in the implementation.
This course is encapsulated with following key materials –
- Warm up on the concepts with topic-wise tutorials.
- Prepare with comprehensive Topic-wise tutorial Materials.
- Data abstraction and information hiding.
- Linear data structures and their applications in problem solving and programming.
- Nonlinear data structures and their applications in problem solving and programming.
- Internal and external sort and search techniques.
- Highly Qualified and Experience Technical Team to help each trainee.
- Small Batch Size for focused Learning analysing the career path of the student.
Prerequisites:
- C Programming
- Willingness to improve and compete with the best.
- Curiosity to learn more and code.
Key Learning Outcomes:
When you complete this Course Curriculum, you will be able to accomplish the following:
- Crack placement of Top-Tier IT companies.
- Career enhancement and advancement.
- New ways of solving problems, and the ability to solve more complex problems.
- Finding algorithmically fast solutions.
- Writing bug-free code.
Target Audience:
- Students who want to get selected in Top-Tier IT Companies like TCS, Infosys, Microsoft, Samsung, Wipro and all leading MNCs of the world.
- Students who wish to compete, crack and win Coding Competitions by improving their logic and programming skills
- Students who want to learn a different Problem-Solving Approach.
- M.Tech/B.Tech/MCA/BCA/Any Graduate or Diploma Holder
Test & Evaluation
- During the program, the participants will have to take all assignments given to them for better learning.
- At the end of the program, a final assessment will be conducted
Certification
- All successful participants will be provided with a certificate of completion.
- Students who do not complete the course / leave it midway will not be awarded any certificate.
Duration: 60 hours (including lectures, hands-on labs, assignments, and assessments).
Delivery Mode: 100 % Online Live Instructor LED Training
| 1 | Introduction to Time and Space Complexity |
| Analysis of Algorithms | |
| Time and Space Complexity notations | |
| Why Big O dominates other notations | |
| Standard categories of measuring the complexity | |
| Graph representation of standard categories | |
| Graph representation of standard categories | |
| Counting the no. of operations in an algorithm/code | |
| Role of constant terms in measuring the complexity | |
| Methods of measuring the runtime of algorithm | |
| Measuring auxiliary space requirements |
| 2 | Array And String |
| Introduction to Arrays | |
| Types for Arrays | |
| Introduction to 1-D Arrays | |
| Operations on 1-D Arrays | |
| Frequency Array Technique | |
| Two Pointers Technique | |
| Sliding Window Technique | |
| Prefix/Postfix Sum approach | |
| Solving problems on Ranges | |
| Introduction to 2-D Arrays | |
| Operations on 2-D Arrays |
| 3 | Introduction to Recursion |
| Introduction to Recursion | |
| Need of recursion | |
| How recursion works | |
| Recursion vs Iteration | |
| Building the base conditions | |
| Types of Recursion with examples | |
| Introduction to Divide & Conquer(D&C) techniquec | |
| Discussion of solutions to problems from Competitive Programming platforms | |
| Discussion of solutions to interview questions |
| 4 | Searching & Sorting |
| Introduction to Searching & Sorting | |
| Need for Searching & Sorting | |
| Linear search | |
| Binary search | |
| Sorting techniques | |
| Selection sort | |
| Bubble sort | |
| Insertion sort | |
| Shell sort | |
| Merge Sort | |
| Quick Sort |
| 5 | Linked List |
| Introduction to Self-referential objects | |
| Linked Lists – Terminology | |
| Types of Linked Lists | |
| Representation of Linked Lists | |
| Single Linked List | |
| Circular Single Linked List | |
| Double Linked List | |
| Circular Double Linked List | |
| Operations on Linked Lists |
| 6 | Stack and Queue |
| Concept of Stack | |
| Examples of Stack | |
| Preliminary operations on Stack | |
| Stack implementation | |
| Implementation of two Stacks in Array | |
| Introduction to Infix, Postfix and Prefix expressions | |
| Limitation of Infix representation | |
| Applications of Stack | |
| Concept of Queue | |
| Examples of Queue | |
| Preliminary operations on Queue | |
| Types of Queues | |
| Queue using Stacks – Implementation | |
| Applications of Queues | |
| 7 | Tree |
| Tree | |
| Binary Tree | |
| Binary Search Tree | |
| AVL Tree | |
| 8 | Graph |
| Graph | |
| Graph Implementation | |
| BFS Algorithm | |
| DFS Algorithm |
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