About BCA Department Vision & Mission HOD Desk Faculty Program Outcomes B.C.A.Course Outcomes Syllabus Home

Department of BCA (Bachelor of Computer Application)

About Department

BCA in AI & Machine Learning is a specialized three-year degree program that imparts as in-depth understanding of Computer Applications, Information Technology and Programming Training.
BCA in AI & Machine Learning course curriculum focuses on exposing students to diverse domain like Statistics with R, Python, Data visualization, AI (Artificial Intelligence), Machine Learning and Programming Analytic which provides them with the possibilities and means for students to transform themselves into the professional in the diverse field of IT.
Apart from the curriculum , we equip students with abundant options to comprehend in-demand technologies like Big Data, Cyber Security, Machine Learning, .NET Framework, Data Warehousing, Data Mining , Mobile Application Development, Cloud, IoT, and numerous more.
The Department of BCA (Bachelor of Computer Applications) focuses on providing students with a strong foundation in computer science and applications. It covers essential topics such as programming, database management, web development, and software engineering. The curriculum is designed to equip students with both theoretical knowledge and practical skills, preparing them for careers in IT and software development. Additionally, the department often emphasizes projects, internships, and industry collaborations to enhance real-world experience and employability.

Department of Electronics & Telecommunication Engineering

Vision

To be recognized as a Centre of Excellence in the country that is capable of transforming learners of Computer Science to Professionals working for the upliftment of computing technology, society and the world as a whole through their life-long learning experiences by providing value based, exceptional learning environment for education, research and training in Computer Science and Applications.

Mission

  • M 01:- To develop the creativity of problem solving through computer science in the learners through our continuously improving academic environment and excellent computing infrastructure.
  • M 02:- To provide value based education and training through high impact teaching that inculcate excellent basics, sound practical knowledge of automating various kinds of systems through effective programming skills.
  • M 03:- To develop the youth into professionals who can work in team, possess high analytical abilities, and help in solving complex problems of various domains through principles of computer science and applications.
  • M 04:- To focus on building professional skills that is useful in Entrepreneurship and development of relevant technological projects for a larger section of the society.
  • M 05:- To grow as a nurturing environment of computer professionals for imparting a lifelong learning skill.

Prof . Pragati Dnyaneshwar Khade

Designation - HOD, Asst. Professor Qualification - MCA 6 Years Specialization - C, Data Structure , Python ,Software Engineering Area of Interest - Computer Application Publications - Published Paper “Python Programming -Application & Future “in an International Multidisciplinary Research Journal at Peer Reviewed Referred and UGC Listed Journal. Jr N0. 47037 Impact Factors 5.756. Volume –X FDP - 1. FDP Organized by AICTE Universal Human Values Level -1
2. FDP on “Energy, Sustainability & Climate” Change organized by AICTE
3. National Level FDP on “National Education Policy 2020 & Teachers Role.”
4. FDP on “ Linux “ Organized Computer & Engineering Department at JSPM
5. FDP organized BY STC College on “AI Innovation & Matlab Solution “

The Department of Computer Applications offers BCA in Artificial Intelligence &Machine Learning courses under SGBAU University, Amravti . The Department accentuates value-based quality education through dedicated, well-qualified, highly technocratic faculty members involved in the latest areas of research such as cloud computing, computer networking, information retrieval and data mining. The well-designed curriculum of BCA courses along with co-curricular activities such as Seminars, Technical Quiz, Project displays, Paper Presentations etc facilitate the students to compete in the corporate world and for higher studies. Department of Computer Applications provides the students ability to serve the competitive and corporate world in field like Information Technology, Project management, Information Systems, ERP, System & Application Programming, System Analysis & Design, E-Business, etc.
We inculcate problem solving attitude in our students; at the same time we encourage them to grow as effective team players with a strong set of ethics, communication skills and zeal to outshine in the global arena.
A rigorous monitoring is used to evaluate the progress of students through a well-formed continuous evaluation and feedback mechanism. The mentorship system helps the students to improve their overall performance.
With the honest intention of making the vision of ‘Digital India’ come true; the whole department welcomes you to the STC Family .



Prof Ganesh Devrao Mali

Designation - Assistant Professor Qualification - MCA Experience - 1 Year Area of Specialization - Data Science, OS, Web Technology Area of Interest - AI & Data Science Publications - NA FDP - NA

Prof. Vaishnavi Vijay Raut

Designation - Assistant Professor Qualification - MCA Experience - 1 Year Area of Specialization - Computer Application Area of Interest - Web development, Data Analysis Email ID - darshanasarnaik@gmail.com Publications - NA FDP - Next Gen Employability Program on Building Web development Solutions with Cloud computing under taken by edunet From 02/092024 to 06/09/2024

Programme Outcomes (POs) of B.C.A.

The under-graduate students, after completing their study of B.C.A. Program would acquire the following characteristics attributes of a science graduate:

  1. Scientific Knowledge and Experimental Skills: Demonstrate fundamental concepts in computer science and apply them in specialized areas like research, teaching, and public services.
  2. Communication skills: Transmit complex technical information in a clear and concise manner related to computer hardware, software, and applications.
  3. Critical Thinking & Problem Solving Ability: Employ critical thinking and problem-solving skills to solve computer technology problems.
  4. Team Leading and Working Capability: Work independently as well as in a team as a leader or member.
  5. Project Management: Identify need, scope, and beneficiaries to develop projects responsibly, ethically, and securely.
  6. Digital Proficiency: Learn and use modern technology such as data mining, AI, robotics, and data management tools.
  7. Environmental and Societal Consciousness: Use knowledge to address environmental and societal problems.
  8. Ethics and Human Values: Behave ethically at the workplace and maintain harmony with others through human values.
  9. National Perspective: Develop a national perspective in career to contribute to national development.
  10. Lifelong Learning: Embrace lifelong learning to stay updated with emerging technology and research.

Course Outcomes (COs) of B.C.A.

Year: First      Semester: I

Mathematics Foundation to Computer Science (101CC101)
  • CO1: Understand fundamental mathematical concepts such as sets, functions, matrix algebra, and discrete mathematics.
  • CO2: Apply mathematical models and techniques to computer science problems.
  • CO3: Use mathematical principles to abstract and analyze problems efficiently.
Problem Solving Using C (101SEC101)
  • CO1: Understand basic terminology of computers, programming, and language evolution.
  • CO2: Design solutions using structured programming constructs.
  • CO3: Translate algorithms into C programs.
  • CO4: Test and debug C programs.
Computer Architecture (101CC102)
  • CO1: Understand digital electronics and binary systems.
  • CO2: Learn combinational circuit implementation.
  • CO3: Learn sequential circuit implementation.
  • CO4: Understand basic computer organization.
General English - I (101AEC101)
  • CO1: Practice LSRW skills in English.
  • CO2: Perform tasks through guided instruction and materials.
  • CO3: Integrate English with employability skills.
  • CO4: Gain experience through case studies and presentations.
Indian Knowledge System (101MDE101)
  • CO1: Understand Indian culture and civilization context.
  • CO2: Learn about ancient Indian knowledge, arts, and values.
  • CO3: Study India's scientific heritage.
  • CO4: Understand contributions to modern science and tech.
Environmental Science and Sustainability (101VAC101)
  • CO1: Understand basic environmental concepts and business relevance.
  • CO2: Make environmentally responsible decisions.
  • CO3: Become environmentally sensitive managers.

Year: First      Semester: II

Object Oriented Programming using C++ (101CC103)
  • CO1: Understand code organization and decomposition using data types.
  • CO2: Understand programming for storage, processing, and communication of knowledge.
Data Structures (101CC104)
  • CO1: Understand basic data structure concepts and applications.
  • CO2: Develop problem-solving skills using data structures.
  • CO3: Implement data structures in C.
Operating Systems (101CC105)
  • CO1: Understand general concepts of operating systems.
  • CO2: Learn about system software and its functions.
  • CO3: Understand types and structures of OS.
  • CO4: Learn OS functions.
  • CO5: Know open-source OS.
Web Technologies (101SEC103)
  • CO1: Understand how the World Wide Web works.
  • CO2: Create multimedia-integrated web pages.
  • CO3: Plan responsive websites.
  • CO4: Learn SEO techniques.
  • CO5: Gain professional web programming skills.
Object Oriented Programming using Java (101SEC102)
  • CO1: Learn object-oriented programming concepts.
  • CO2: Understand Java syntax and semantics.
  • CO3: Develop modular Java programs.
  • CO4: Set up and use the JDK environment.
Syllabus
BCA Scheme BCA SGBAU SYLLABUS
BCA Syllabus&Scheme_240820_115513