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Data structures and algorithms are the building blocks of coding. The data structure concepts can be implemented in any programming language to optimise the code and make programming effortless.
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Course Details
- Commencement Date
- Duration 480 hours
- Language English
- Eligibility Criteria Diploma in Engineering or pursuing B.Tech/BCA/B.Sc
Minimum Age: 18 Years - Assessment
- Multiple intermediate assessments and one final assessment leading to certification.
- Final assessment date will be announced, 1 month in advance.
- NA
- NA
- Total Credits NA
Lecture Credits NAPractical Credits NA
- Course Format Online (Self-paced + Live Lectures + Hands-on Learning)
What you will learn in the Course
Course Summary
Data Structures and Algorithms are the building blocks of Software Engineering. Understanding data structures is integral to participate in competitive programming, as it helps in making decisions on what data structure is to be utilised to solve a given problem most efficiently. Competitive programmers use their acquaintance of data structures, logical reasoning and programming skills to solve difficult algorithmic problems. Competitive coding helps in getting better placement opportunities and career enhancement by appearing for coding tests or competitions like ACM-ICPC, Google Code Jam, Facebook Hacker Cup, and the like, on completion of this course.
The course will make learners get familiar with the data structures thoroughly. Beginning with bit and byte manipulations, learners will understand the mathematics behind it and know how to perform recursion efficiently, how to deal with arrays, strings, linked list, all linear and non-linear data structures. They will also be exposed to more complex problem statements to build logical thinking.
Certificate

Course Syllabus
The course syllabus will be delivered through a combination of learning resources, live lectures and community-based interactions.
- Analysis of algorithms
- Analysis of loops
- Space complexity
- Mathematics for data structures
- Bitwise operators
- Bit manipulation using bitwise operators
- Introduction
- Applications
- Recursion base cases
- Recursion problem-solving skills
- Introduction
- Vector in C++
- Operations on arrays
- Multidimensional array in C++
- Matrix manipulation
- Binary search
- Sort in C++ STL
- Merge sort
- Quick sort
- Hashing concepts
- Hashing functions
- Implementation of open addressing
- Basics of string
- Strings using C++
- Logic building of pattern searching
- Short comings of array data structures
- Introduction to linked list
- Linked list implementation
- Introduction to stack
- Implementation of stack
- Introduction to queue data structure
- Implementation of queue
- Introduction to Tree data structure
- Applications of Tree
- Search in BST using C++
- Graph
*Modules are subject to change based on Academic Partner’s discretion; learners will be informed of the final curriculum during the orientation.
Course Features

Digital Learning Resources

Digital Learning Resources
Enriching learning resources accessible anytime and anywhere

Live Lectures

Live Lectures
Live lectures delivered by Academic and Industry Experts

Academic Connect Community

Academic Connect Community
Moderated by an Academic Expert with a focus on building conceptual clarity

Industry Connect Community

Industry Connect Community
Moderated by an Industry Expert with a focus on building industry-oriented applied knowledge

Industry Assignments

Industry Assignments
Access to projects to offer

Intermediate Assessments

Intermediate Assessments
Continuous check for skills competency highlighting scope for improvement

Final Assessment

Final Assessment
End-term test of theoretical and applied knowledge

Digital Certification

Digital Certification
Certificate issued by Academia and Industry on successful completion of the learning programme

Internship Opportunity

Internship Opportunity
To provide on-the-job real-time industry exposure for learners in the respective learning programmes

Job Opportunity

Job Opportunity
Access to TCS iON Job Listing Portal - a hub of employment opportunities across sectors
- Digital Learning Resources Enriching learning resources accessible anytime and anywhere
- Live Lectures Live lectures delivered by Academic and Industry Experts.
- Academic Connect Community Moderated by an Academic Expert with a focus on building conceptual clarity
- Industry Connect Community Moderated by an Industry Expert with a focus on building industry-oriented applied knowledge
- Industry Assignments Access to projects to offer
industry-relevant practical exposure to learners - Intermediate Assessments Continuous check for skills competency highlighting scope for improvement
- Final Assessment End-term test of theoretical and applied knowledge
- Digital Certification Certificate issued by Academia and Industry on successful completion of the learning programme
- Internship Opportunity To provide on-the-job real-time industry exposure for learners in the respective learning programmes
- Job Opportunity Access to TCS iON Job Listing Portal - a hub of employment opportunities across sectors
Meet the Mentor(s)
J. G. Mante (Khurpade)
Programme Head,
Department of Computer Engineering,
MIT-WPU Pune

J. G. Mante is the Programme Head in Department of Computer Engineering at School of Polytechnic and Skill Development. She has completed M.E. in Computer Science Engineering and has 25+ years of experience. She is currently pursuing her PhD in Machine Learning with Network Security.
N. A. Jaybhaye (Dongre)
Lecturer in Computer Engineering,
MIT-WPU Pune

N. A. Jaybhaye is working as a Lecturer in the Department of Computer Engineering at School of Polytechnic and Skill Development. She has completed M.E. in Computer Science Engineering and has 11+ years of experience in teaching.
P. U. Nehete
Lecturer in Computer Engineering,
MIT-WPU Pune

P. U. Nehete is working as a Lecturer in the Department of Computer Engineering at School of Polytechnic and Skill Development. She has completed M.E. in Computer Science Engineering and has 10+ years of experience in teaching.
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