The document provides tips on how to give a good seminar or project presentation, including choosing an interesting topic, knowing the audience, clearly outlining the presentation, practicing delivery, and concluding by addressing the objectives; it also lists common mistakes to avoid such as waiting until the last minute to prepare, reading slides verbatim, and distracting gestures or speech patterns.

1. How to Give a Good
Seminar /Project Presentation
Seminar /Project Presentation Orientation Session
Mr.Saravanakumar Viswanathan, M.E.,
Assistant Professor,
Dept. of Computer Science & Engg.
MITS.
GSM: 9994358761
: saravanakumar@mits.ac.in
Time : 8 am – 8 pm ( Except Class Timing)

2. Outline
1. Self Introduction
2. Time Table
3. Pick a good topic
4. Know your audience
5. Begin with a title slide and
show a brief outline or list of
topics to be covered
6. Methodology
7. Data presentation is the heart
of a successful talk
8. Always give a synthesis or
conclusion
9. Answer questions thoroughly
and thoughtfully
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No one is out to get you!

3. Faculty Introduction
3
Experience 12 + Years Teaching & 8 Months Industry
Qualification B.E (CSE)- College Gold Medalist, M.E (CSE) FWD
University Anna University, Chennai
Area of Research Data Structures, Data Mining, Cloud Computing, Machine Learning, Software Testing
Additional Certification IBM – 2 , Google – 5, Cisco -1 , Others- 5
Worked Location Tamil Nadu (Namakkal-2.5, Trichy-2.5 Chennai-3), Oman (Muscat-5 Years), Andhra (Madanapalle)
Software Developed • Student Project Evaluator Software
• Paperless Virtual Notice Board for Academic Institutions
Publications National & International – 18+
Patent National & International Patent – 01
Events Organized 15+
Events Attended National & International – 40+
Professional Bodies ISTE, IAEngg,ESRII,UACEE,SDIWC,CSTA
Professional & Social Identification • Researcher ID: AAV-2816-2020
• Open Researcher and Contributor (ORCID : 0000-0002-6823-0182)
• Google Scholar: https://scholar.google.co.in/citations?user=R9MH-nEAAAAJ&hl=en
• Research Gate: https://www.researchgate.net/profile/ Saravanakumar Viswanathan
• Linkedin: https://www.linkedin.com/in/saravanakumar-viswanathan-a3ab1b35
• https://www.youtube.com/channel/UCiTtjqONWqqd2QxxsUsz0Gg
• https://www.slideshare.net/saravanakumarviswana
Professional & Social Services • Reviewer – IJERT,IJSDR, IJRAR
• Technical Associate in Creaseline Technologies, Coimbatore
• VRS Technologies Private Limited, Entrepreneur, Free of Cost
• Friday Challenges
• Sunday Online Classes (Academicians, Industrial Person, etc)

4. Seminar / Project Presentation
DO’s:
1. Practice
2. Look professional
3. Preview your slides
4. Clearly state your objectives and goals
5. Speak clearly and at a good pace
6. Always identify your axes, define all technical terms and spend time on your data
(graphs, tables)
7. Quote appropriate references and distinguish your work from literature sources
8. Make a lot of eye contact with your audience
9. Conclude your talk with statements that address your objectives and finish your story
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5. Seminar / Project Presentation
DON'T:
1. Wait until the last minute to prepare
2. Make slides that are impossible to read or understand, e.g. complicated figures, large
tables, Picasso-like graphs.
3. Read your talk verbatim, either from notes or from your slides!! Know your material well
without reading.
4. Make distracting gestures when you talk (play with a pointer, rock back and forth, play
with your hair, pick your nose, etc.).
5. Speak too rapidly, too slowly, too quietly or too loudly. Don't speak in a monotone and try
not to mumble.
6. Talk to one person or the screen.
7. Panic. Staying calm and focused is very important, especially if you hate speaking publicly.
8. Try to be too funny. Humor has its place in your seminar, but use it judiciously.
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6. Data Structures
An Introduction
A Sample Presentation

7. Data Structures
• Way of Organizing, Processing and Storing the data in mathematical
manner.
Data Types
int - 1, 2,-6
float - 3.14
Char - ‘A’
Primitive Non-Primitive
Structure
Union
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8. Types of Data Structures
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9. Array
• Collection of Similar data types in consecutive memory location and
accessed randomly
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10. Linked List
• Linear Data Structure – non-contiguous - consisting of a group of
nodes where each node points to the next node by means of a
pointer.
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11. Stack
• Principle : LIFO
• Linear Data Structures – insert and delete at one end – TOS
• Applications : Recursion , Function calls, Evaluation of Expression
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12. Queue
• Principle : FIFO
• Linear Data Structures – insert at rear and delete at front end
• Applications : Job Scheduling, Shared Printer,
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13. Tree
• Hierarchical Structure – Parent –child relationship
Binary Tree:
• each node has at most two children
generally referred as left child and right
child.
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14. Graph
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15. • http://home.sandiego.edu/~kaufmann/envi_mars495/envi_mars495
_handout.html
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References:

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