Workshop Conducted on FULL STACK WEB DEVELOPMENT -II BSC & II BCA Students

 

Faculty Development Program

 Faculty Development Program

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23AK Batch Final Year -Internship

  23AK Batch  

Career Guidance

 Department : Computer Science

Date & Time: 12-03-2026,2:00 to 4:00 pm

Nature of Activity : Career Guidance on Data Analytics

Place of Activity : LAB- III

Names of Faculty Involved: P Anvesh, K N Sireesha

EXTENSION ACTIVITY - CSR Program Sponsored by Samsung

CSR Program Sponsored by Samsung 

Department : Computer Science

Date & Time: 1st September to 25th October 2025

Nature of Activity : CSR Program Sponsored by Samsung

Place of Activity : LAB- III

Names of Faculty Involved: Aarthi Raju, SIC Program Trainer, K N Sireesha, G Deepthi

SUMMARY REPORT OF THE ACTIVITY

• Intro & Setup: Python basics, VS Code/Jupyter installation, first programs.

• Core Concepts: Variables, data types (int, float, str, bool), type conversion.

• Operators: Arithmetic, comparison, logical, and assignment operators.

• Flow Control: Conditional statements (if/elif/else), loops (for, while, break, continue, pass).

• Practice Exercises: FizzBuzz, prime checking, palindromes, factorial.

• Data Structures: Lists, tuples, slicing, nesting, methods; strings and string methods; dictionaries, sets, comprehensions.

• Functions: def, return values, parameters, *args/**kwargs, scope, lambda, closures.

• Mini-Projects: Calculator, contact book.

• OOP: Classes, objects, constructors, inheritance, special methods (__str__, __repr__, __len__), encapsulation.

• Data Structures & Algorithms: Stacks, queues, linked lists, hashing, bubble sort, insertion sort, merge sort, quick sort, time complexity, searching algorithms.

• Advanced Topics: Recursion, backtracking, file handling (TXT/CSV with context managers).

• Data Science Basics: NumPy arrays, operations, indexing; Pandas DataFrames/Series; filtering; visualization with Matplotlib and Seaborn; descriptive statistics.

• Mini Project: (Titanic EDA / Expense Tracker CLI / Student Grade System with files & charts).

Extension Activity - CSR Program Sponsored by IBM

CSR Program Sponsored by IBM 

Department : Computer Science

Date & Time: 15th September 2025(1 week)

Nature of Activity : CSR Program Sponsored by IBM

Place of Activity : T4

Names of Faculty Involved: Trainer, K N Sireesha, G Deepthi

SUMMARY REPORT OF THE ACTIVITY

• Communication and Personality Dynamics

• Introduction to Artificial Intelligence

• Natural Language Processing & Computer Vision

• Machine Learning

• Deep Learning

• Run AI Models with IBM Watson Studio

• AI Ethics

Faculty Forum session - Teach Smart

 Teach Smart

Faculty Forum session -15/10/2025

Speaker: Mr. Gupteswar Rao , Founder – School of AI, Visakhapatnam

Session Topic: Teach Smart
VENUE: Seminar Hall

Time: 3:00-4:00

The Speaker focused on modern teaching strategies under the theme “Teach Smart.” He emphasized leveraging technology, innovative methodologies, and AI tools to enhance learning outcomes and make teaching more effective and engaging. He discussed the importance of understanding students’ learning patterns, using interactive techniques, and designing content that caters to diverse learning styles.

The speaker also demonstrated practical approaches to integrate smart teaching methods into everyday classroom practices, including digital tools, visualization techniques, and collaborative learning platforms. Participants were encouraged to adopt these strategies to improve student engagement, optimize lesson delivery, and foster an adaptive learning environment that prepares students for future challenges.