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Computer Science Department
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Computer Science Department

Courses Offering: B.Tech. (Computer Sc., Artificial Intelligence), Diploma, M.Tech. (Software Engineering)
Home > Computer Science Department

Computer Science and Engineering

The Department of Computer Science Engineering offers a wide range of programs tailored to meet the dynamic needs of the tech-driven world. We provide undergraduate courses such as B.Tech in Computer Science and B.Tech in Artificial Intelligence, Polytechnic Diploma in Computer Science, and advanced postgraduate programs like M.Tech in Software Engineering. Our curriculum emphasizes a strong foundation in theory, hands-on technical expertise, and innovative thinking to prepare students for successful careers in industry, research, and entrepreneurship.

Department Vision:

  • To nurture the students to become employable graduates who can provide solutions to the societal issues through ICTs.

Department Mission:

  • To focus on practical approach towards learning and exposing the students on the latest ICT Technologies.
  • To foster logical thinking among the student to solve the real time problems using innovative approaches.

 

Program Details:

B.Tech in Computer Science and Engineering

Affiliated to RTU, Kota

At Aravali Institute of Technical Studies, the B.Tech in Computer Science and Engineering program equips students with the knowledge, skills, and experience needed to excel in today’s digital world. This four-year undergraduate course provides a perfect blend of software, hardware, and theoretical computing knowledge.

What We Offer:

 

  • Core Subjects:
    Programming Languages (C, C++, Java, Python), Data Structures and Algorithms, Operating Systems, Database Management Systems, Computer Networks, Web Development, Artificial Intelligence, Cloud Computing, and Cybersecurity.
  • Practical Training:
    • Hands-on projects, coding bootcamps, internships, and live industry assignments.
    • Access to modern computer labs equipped with the latest hardware and software tools.
  • Industry-Oriented Curriculum:
    • Curriculum designed to meet global industry standards.
    • Regular updates to include trending technologies like Blockchain, IoT, Big Data, and DevOps.
  • Career Support:
    • Dedicated training for placements, aptitude development, and technical interviews.
    • Tie-ups with leading companies for internships and job opportunities.
  • Skill Development:
    • Emphasis on coding excellence, analytical thinking, leadership, teamwork, and entrepreneurial skills.

Future Career Opportunities:

  • Software Developer / Engineer
  • Web Developer
  • Systems Analyst
  • Data Scientist
  • Cloud Solutions Architect
  • Cybersecurity Specialist
  • Mobile App Developer

Why Choose Us?

  • Experienced and highly qualified faculty members.
  • Advanced computer labs and collaborative workspaces.
  • Strong focus on project-based learning, innovation, and research.
  • Regular workshops, seminars, tech fests, and hackathons to build real-world skills.

 

B.Tech in Artificial Intelligence

Affiliated to RTU, Kota

At Aravali Institute of Technical Studies, the B.Tech in Artificial Intelligence program is designed to prepare students for the future of technology. This four-year undergraduate program focuses on building strong foundations in AI concepts, machine learning, deep learning, data science, and robotics.

What We Offer:

  • Core Subjects:
    Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Data Analytics, Big Data, and Cloud Computing.
  • Practical Training:
    • Hands-on experience through real-world projects, hackathons, and internships.
    • Access to high-end AI labs and latest tools like Python, TensorFlow, Keras, and PyTorch.
  • Industry-Oriented Curriculum:
    • Designed with inputs from industry experts and aligned with current market needs.
    • Training on cutting-edge technologies like AI in Healthcare, Finance, Cybersecurity, and IoT.
  • Career Support:
    • Dedicated placement training, career counselling, and opportunities for internships with top tech companies.
    • Guidance for pursuing higher studies, certifications, and research in AI.
  • Skill Development:
    • Focus on critical thinking, problem-solving, coding skills, ethical AI practices, and innovation.

Future Career Opportunities:

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Robotics Engineer
  • Research Scientist
  • Business Intelligence Developer
  • NLP Engineer

Polytechnic Diploma in Computer Science

(Affiliated to BTER, Jodhpur)

At Aravali Institute of Technical Studies,, the Polytechnic Diploma in Computer Science is a three-year program designed to build a strong foundation in computer science and IT skills. Affiliated with the Board of Technical Education Rajasthan (BTER), Jodhpur, this diploma prepares students for rewarding careers in the fast-growing technology sector.

What We Offer:

  • Core Subjects:
    Fundamentals of Computers, Programming in C and C++, Data Structures, Web Development, Database Management Systems, Networking, Operating Systems, and Basic Electronics.
  • Practical Training:
    • Emphasis on hands-on learning through practical labs, project work, and internships.
    • Training on software tools, website development, and basic app development.
  • Industry-Focused Curriculum:
    • Curriculum structured to meet industry and academic standards set by BTER.
    • Exposure to emerging technologies like Cloud Computing, AI Basics, and Cybersecurity fundamentals.
  • Career Support:
    • Placement training, skill development workshops, and industry interaction.
    • Opportunities for higher studies like B.Tech (Lateral Entry) or direct job placements.
  • Skill Development:
    • Development of strong programming, troubleshooting, and technical communication skills.

Future Career Opportunities:

  • Computer Operator
  • Junior Software Developer
  • Web Designer
  • Technical Support Engineer
  • Network Technician
  • IT Assistant

Why Choose Us?

  • Affiliation with BTER, Jodhpur ensuring quality education and recognized certification.
  • Experienced faculty dedicated to practical and skill-based learning.
  • Well-equipped computer labs with latest software and networking infrastructure.
  • Focus on preparing students for real-world IT and industry needs.

M.Tech in Software Engineering

(Affiliated to RTU, Kota)

At Aravali Institute of Technical Studies, the M.Tech in Software Engineering program is a two-year postgraduate course focused on advanced software development practices, design methodologies, and innovative engineering solutions. Affiliated with the prestigious Rajasthan Technical University (RTU), Kota, the program is tailored for students aiming to specialize in high-end software solutions and system architecture.

What We Offer:

  • Core Subjects:
    Advanced Software Engineering, Software Architecture and Design, Cloud Computing, Data Analytics, Machine Learning, Agile Methodologies, Cybersecurity, DevOps Practices, and Emerging Technologies.
  • Practical Training:
    • Real-world projects, case studies, industrial training, and research opportunities.
    • Access to modern development tools, collaboration platforms, and high-tech software labs.
  • Industry-Oriented Curriculum:
    • Syllabus aligned with the latest trends in software development, research, and technology innovation.
    • Workshops and guest lectures from industry experts and academic leaders.
  • Career Support:
    • Personalized career counseling, research guidance, and assistance for placements in leading tech companies.
    • Preparation support for competitive exams, certifications, and academic publishing.
  • Skill Development:
    • Focus on research aptitude, technical writing, project management, leadership, and innovation.

Future Career Opportunities:

  • Software Architect
  • Project Manager (IT)
  • Systems Designer
  • Data Engineer
  • Research & Development Engineer
  • DevOps Engineer
  • IT Consultant

Why Choose Us?

  • Affiliation with RTU, Kota, ensuring a recognized and respected qualification.
  • Highly experienced faculty with expertise in research and software development.
  • Strong focus on innovation, practical skills, and academic excellence.
  • Opportunities for participation in national and international conferences, workshops, and research projects.

Programme Educational Objectives (PEOs)

  • PEO-1: Prepared to be employed in IT Industries and be engaged in learning, understanding and applying new ideas.
  • PEO-2: Prepared to be professional in their domain of interest.
  • PEO-3: Able to apply their technical knowledge as professional and engaged in higher education.
  • PEO-4: Able to work efficiently as an individual and professionally in team environment.

Program Outcomes (Pos)

Engineering Graduates will be able to apply:

  • Scientific knowledge: Apply the knowledge of mathematics, science, and computing to the solution of complex scientific problems.
  • Problem analysis: Identify, formulate, research literature, and analyze complex scientific problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and applied sciences.
  • Design/development of solutions: Design solutions for complex problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tools usage: Create, select, and apply appropriate techniques, resources, and modern computing and IT tools including prediction and modeling to complex scientific activities with an understanding of the limitations.
  • The software engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional practice.
  • Environment and sustainability: Understand the impact of the professional software engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the scientific practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex activities with the scientific community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Project management: Demonstrate knowledge understanding of the scientific and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Program Specific Outcomes (PSO’s)

  • PSO-1: Core Engineering Skills: Exhibit fundamental concepts of Data Structure, DBMS, Operating System, Computer Network, Theory of Computation, Advanced Programming Concepts.
  • PSO-2: Standard Software Engineering Practices: Demonstrate an ability to design, develop, test, debug, troubleshoot, maintain and secure software.
  • PSO-3: Future Endeavours: Recognize the need to have knowledge of higher education institute/ organization/ companies related to Computer Science Engineering.

 

 

C Programming Lab

The C Programming Lab at Aravali Institute of Technical Studies provides a strong foundation in structured programming, algorithmic problem-solving, and code optimization using the C language. This lab is designed to enhance students’ logical thinking and prepare them for core programming challenges in the field of Computer Science and Engineering

Objective

  • To develop problem-solving techniques and coding practices.
  • To familiarize students with structured programming using C.
  • To implement algorithms and understand basic programming constructs.
  • To prepare students for advanced programming languages and system-level programming.

Key Learning Outcomes

By the end of the lab, students will be able to:

  • Write and debug modular and efficient C programs.
  • Use control structures (loops, conditionals, functions) effectively.
  • Work with arrays, strings, pointers, and structures.
  • Understand memory management in C using dynamic allocation.
  • Implement searching, sorting, and basic data structure operations.

Lab Infrastructure

  • Lab Name: C Programming Lab
  • Software Used: Turbo C / GCC Compiler / Code::Blocks
  • Systems: 30+ high-performance computers with Linux/Windows OS
  • Internet: High-speed internet connectivity for programming resources
  • Projector: For instructor-led demonstrations

Sample Lab Experiments

  1. Basics of C syntax, variables, and data types.
  2. Control flow: if, else, switch, while, for, do-while.
  3. Functions: declaration, definition, recursion.
  4. Arrays, strings, and multi-dimensional arrays.
  5. Pointers and pointer arithmetic.
  6. Structures, unions, and file handling.
  7. Implement sorting (bubble, selection) and searching (linear, binary) algorithms.
  8. Mini-project: Student Record System / Library Management System using C.

 

Networking Lab

Overview

The Networking Lab at Aravali Institute of Technical Studies offers a comprehensive environment for students to understand the fundamentals of computer networks, networking protocols, and real-time data communication systems. This lab is dedicated to giving hands-on experience in designing, configuring, and troubleshooting networks.

Objective

  • To understand the principles of computer networking and internet communication.
  • To provide practical exposure to network configuration and protocol analysis.
  • To simulate and analyze network behavior using modern tools.
  • To prepare students for networking certifications and real-world scenarios.

Key Learning Outcomes

After successful completion, students will be able to:

  • Understand and implement different networking topologies and models (OSI, TCP/IP).
  • Configure and troubleshoot routers, switches, and firewalls.
  • Use simulation tools to design and evaluate network performance.
  • Analyze packet-level communication using tools like Wireshark.
  • Set up peer-to-peer and client-server networks.

Lab Infrastructure

  • Lab Name: Networking and Data Communication Lab
  • Hardware: Cisco Routers, Switches, LAN Cables, Patch Panels
  • Software: Cisco Packet Tracer, Wireshark, NetSim, Putty
  • Systems: 30+ network-enabled computers
  • Connectivity: Structured LAN setup with internet access
  • Projector: For live demonstrations and simulations

Sample Lab Experiments

  1. Network device identification and IP configuration.
  2. Implementing LAN using star and bus topology.
  3. Subnetting and IP addressing schemes.
  4. Static and dynamic routing configuration (RIP, OSPF).
  5. Packet analysis using Wireshark.
  6. DNS, DHCP, FTP, and HTTP protocol setup and testing.
  7. Designing and simulating networks using Packet Tracer.
  8. Firewall setup and basic cybersecurity practices.

 

DSA LAB

 Overview

The DSA Lab at Aravali Institute of Technical Studies is designed to build a strong foundation in data structures, algorithmic thinking, and problem-solving skills. This lab is essential for understanding how data can be organized, accessed, and modified efficiently, which is fundamental for software development and competitive programming.

Objective

  • To understand the core concepts of data structures and algorithm design.
  • To implement and analyze various data structures and their applications.
  • To solve real-world computational problems through optimized code.
  • To build a foundation for advanced subjects like Operating Systems, DBMS, and Machine Learning.

Key Learning Outcomes

Students completing this lab will be able to:

  • Understand time and space complexities of algorithms.
  • Implement linear and non-linear data structures such as arrays, stacks, queues, linked lists, trees, and graphs.
  • Apply sorting and searching algorithms effectively.
  • Use recursion and backtracking in problem-solving.
  • Evaluate algorithm performance and choose optimal solutions.

Lab Infrastructure

  • Lab Name: DSA Lab / Data Structures Lab
  • Software Used: C/C++, Python (IDLE, Code::Blocks, Dev C++)
  • Systems: 30+ high-configuration computers
  • Additional Tools: Visualization tools for data structures and algorithm flow
  • Connectivity: High-speed LAN with internet access
  • Projector: For live coding sessions and algorithm demos

Sample Lab Experiments

  1. Array implementation and manipulation.
  2. Stack and Queue operations using arrays and linked lists.
  3. Singly, Doubly, and Circular Linked List programs.
  4. Tree traversals (inorder, preorder, postorder).
  5. Binary Search Tree (BST) creation and operations.
  6. Graph representation (Adjacency Matrix/List) and traversals (DFS, BFS).
  7. Sorting techniques: Bubble, Insertion, Merge, Quick sort.
  8. Searching algorithms: Linear, Binary Search.
  9. Implementation of Hashing and Collision Resolution Techniques.
  10. Mini-project: Student record management / Expression evaluation system.

 

DBMS Lab / SQL Lab

Overview

The DBMS Lab at Aravali Institute of Technical Studies is dedicated to teaching students the fundamentals of data management, database design, and hands-on SQL programming. This lab enables students to model, design, create, and query relational databases—skills essential for software development, web applications, and enterprise systems.

Objective

  • To provide practical experience with relational database design and management.
  • To master SQL commands for data definition, manipulation, and control.
  • To understand concepts of normalization, indexing, and transactions.
  • To build real-world database applications using SQL and PL/SQL.

Key Learning Outcomes

Upon completion, students will be able to:

  • Create and manage databases using SQL.
  • Perform operations like INSERT, UPDATE, DELETE, and SELECT.
  • Design Entity-Relationship (ER) diagrams and map them to relational schemas.
  • Normalize database tables to eliminate redundancy.
  • Use constraints, triggers, procedures, and cursors for advanced data handling.

Lab Infrastructure

  • Lab Name: DBMS / SQL Programming Lab
  • Software Used: Oracle, MySQL, SQLite, PostgreSQL, SQL Server
  • Systems: 30+ computers with database connectivity
  • Connectivity: Centralized database server with LAN and internet access
  • Additional Tools: phpMyAdmin, DBeaver, or SQL Developer
  • Projector: For live database demos and query analysis

Sample Lab Experiments

  1. Creating databases and tables using DDL commands.
  2. Inserting and modifying records using DML commands.
  3. Querying single and multiple tables using SELECT statements.
  4. Implementing SQL constraints: Primary Key, Foreign Key, Unique, Not Null.
  5. Using JOINs: INNER, LEFT, RIGHT, and FULL JOIN.
  6. Applying aggregate functions and GROUP BY clauses.
  7. Creating views, indexes, sequences, and synonyms.
  8. Writing stored procedures, functions, and triggers using PL/SQL.
  9. Transaction control with COMMIT, ROLLBACK, and SAVEPOINT.
  10. Mini-project: Library Management System / Online Student Database.

 


Computer Lab 1


Computer Lab 2


Computer Lab 3


Computer Lab 4


Computer Lab 5


Computer Lab 6


Computer Lab 7

 

 

B.Tech CSE & AI

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Academic Excellence Award

We extend our heartfelt congratulations and profound appreciation to the faculty members of AITS who achieved a remarkable 100% result in their respective subjects during the academic session 2024-25! Their commitment to academic excellence and their ability to effectively guide and mentor our students have been instrumental in their success.

 

 

Student Achievements

This poster proudly highlights the outstanding academic achievements of our students throughout their respective semesters. It stands as a testament to their hard work, dedication, and commitment to excellence in the field of Computer Science and Artificial Intelligence. At AITS, we honor and encourage such brilliance, shaping future innovators and leaders.

 

 

Honoring All-Round Excellence

This poster showcases the remarkable achievements of our students, not only in academics but also in various sports activities. At Aravali Institute of Technical Studies, we take pride in nurturing well-rounded individuals who excel both in the classroom and on the field. Their dedication, discipline, and passion reflect the true spirit of holistic development that we strive in every learner

 

 

 

 

Placement: Session 2024-25

E-Learning Hub for Computer & AI Engineering Students

Department of Computer Science & Artificial Intelligence, AITS

Welcome to the E-Learning Hub @ AITS

In today’s rapidly evolving technological landscape, continuous learning is essential. This E-Learning Hub serves as your centralized platform for accessing high-quality academic resources, industry-relevant tools, and skill-building opportunities.

Whether you’re reinforcing core concepts, exploring specialized AI topics, or preparing for placements, this platform is designed to support your academic and professional journey.

  1. Core & Advanced Course Materials
  2. Lecture Notes & Presentations

Access downloadable PDFs, lecture slides, and supplementary materials:

  1. Video Lectures

Recorded lectures by expert faculty, featuring in-depth explanations and practical demonstrations:

  1. Problem Sets & Solutions

Practice your problem-solving skills:

  1. Previous Year Question Papers

Prepare with previous question papers from RTU:

  1. Syllabus & Curriculum

Latest RTU curriculum links for all B.Tech semesters:

  1. Programming & Software Proficiency
  2. Programming Language Tutorials

Master the most in-demand languages:

  • Python – AI/ML, data science
  • Java – Enterprise applications, Android development
  • C/C++ – Systems programming, competitive coding
  • JavaScript (React, Node.js) – Web development (frontend/backend)
  1. IDEs & Version Control

Get hands-on with:

  • VS Code, IntelliJ IDEA
  • Git & GitHub
  1. Operating Systems & Networking

Understand OS fundamentals and networking concepts:

  • Linux, Windows
  • Basic and advanced network structures
  1. Database Management Systems

Work with:

  • SQL databases like MySQL
  • NoSQL databases like MongoDB

 

 

III. Artificial Intelligence & Machine Learning Specialization

  1. AI/ML Fundamentals

Explore machine learning algorithms, neural networks, and AI logic.

  1. Deep Learning Frameworks

Hands-on with TensorFlow, Keras, and PyTorch.

  1. Natural Language Processing (NLP)

Learn text processing, language modeling, and chatbot design.

  1. Computer Vision

Focus on image recognition, detection, and visual AI systems.

  1. Data Science & Analytics

Tools like Pandas, NumPy, Scikit-learn, R for data manipulation and modeling.

  1. AI Ethics & Bias

Understand responsible AI, fairness, and societal impacts.

  1. Reinforcement Learning

Explore decision-making systems and intelligent agents.

  1. Advanced Learning & Career Readiness
  2. NPTEL Courses

Enroll in IIT and IISc-led online courses with certification:

  1. Online Course Platforms

Explore top-rated platforms:

  1. Cloud Computing Platforms

Introduction to AWS, Microsoft Azure, and Google Cloud.

  1. Open Source Contributions

Guidance on contributing to real-world projects via GitHub.

  1. GATE & Placement Preparation

Mock tests, aptitude prep, and interview guidance.

  1. Industry Blogs & Tech News

Stay updated with:

  1. Webinars & Tech Talks

Access to upcoming and recorded tech sessions.

  1. Collaborative & Interactive Learning
  2. Discussion Forums

Engage in peer discussion, Q&A, and topic-specific threads.

  1. Live Coding Sessions / Workshops

Participate in sessions led by faculty and industry professionals.

  1. Project Showcase

Display and explore student-led innovative projects.

How to Make the Most of This Hub

  • Take initiative to explore beyond the classroom
  • Practice through coding challenges and real-world projects
  • Engage actively in discussions and knowledge sharing
  • Embrace a lifelong learning mindset

We Value Your Feedback

Your suggestions help us improve this platform. Share your ideas and help us shape a more effective learning environment.

Unleash Your Potential – Happy Learning!

Computer Science & AI Department
Aravali Institute of Technical Studies (AITS)

 

 

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Polytechnic Diploma in Computer Science

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