Dive into trees, graphs, hashing, and advanced algorithms for efficient data processing.
Learning Mode: Learn at ALC or at Home
Detailed Course Curriculum
Hands-on module breakdown aligned with MKCL production standards and industry requirements.
Introduction to Data Structures
Mathematical Notations
Contradiction
Mathematical Induction
Mathematical Prerequisites
Introduction to Algorithm
Asymptotic Notations
Variables and Datatypes
Decisions
Switch Case
Array
Functions
Pointers
Object Oriented Programming
Structure
Data Types
Union
Miscellaneous Problems and Solutions
Introduction
Loop
Recursion
Backtracking
Recursion and Backtracking: Problems
Introduction to Array
Array Operations
Introduction
Two Dimensional Array Operations
Array of Pointer
String Introduction
Programming String Operations
Array of String
Pointers and Strings
Pattern Matching
String Matching
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
Ready to start Advanced Data Structures and Algorithms in C and C++?
Join our upcoming batch at ZICA Kalyani center with certified instructors.
MKCL Certified Program
Admissions Open 2026
Flexible Offline & Hybrid Batches
Course Overview
Duration:30 hours
Track:Software Development
Skill Level:Beginner
Language:English
Mode:Learn at ALC or at Home
Certificate:Official MKCL
Key Course Highlights:
Understand and explain the role of data structures in efficient algorithm design.
Implement a variety of data structures and algorithms in C and C++.
Analyze the time and space complexity of algorithms.
Solve real-world problems using appropriate data structures and programming techniques.
Demonstrate proficiency in handling complex programming challenges using recursion, backtracking, and object-oriented programming.
Develop robust and efficient solutions to computational problems.