BCA in Artificial Learning & Machine Learning (AL-ML) at Satyug Darshan Institute of Engineering & Technology - Course, Fees, Admission, Seats, Syllabus

Faridabad ( Haryana )

Estd In: 2012

Last Updated on February 21, 2024 5:27 PM

Satyug Darshan Institute of Engineering & Technology an institution located in the heart of India has recently launched an advanced Bachelor of Computer Applications (BCA) program specializing in Artificial Learning & Machine Learning (AL ML). This unique course is carefully crafted to meet the growing demand for professionals in the dynamic fields of artificial intelligence (AI) and machine learning (ML). Spread across a three year curriculum the program aims to provide students with a deep understanding of algorithms, data structures, computer systems and programming along with specialized expertise in artificial intelligence and machine learning techniques. The course curriculum combines knowledge with practical hands on experience to ensure that students are well prepared for the industry upon completion. Emphasizing real world applications the program includes hands on projects, internships and workshops conducted by industry experts. The BCA program in AL ML offered by Satyug Darshan Institute of Engineering & Technology is a choice for those looking to lead technological innovations and make meaningful contributions, to the digital realm.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Satyug Darshan Institute of Engineering & Technology BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
3 Years	Undergraduate	Varies by Year	Full Time	Private

Satyug Darshan Institute of Engineering & Technology BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Semester	Subjects
1st Semester	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Computer Fundamentals and Office Automation
2nd Semester	Data Structures, Database Management Systems, Object-Oriented Programming, Discrete Mathematics, Environmental Studies
3rd Semester	Operating Systems, Computer Networks, Introduction to Machine Learning, Web Technologies, Linear Algebra for Computing
4th Semester	Algorithms, Software Engineering, Deep Learning Fundamentals, Statistical Methods for AI and ML, Elective I (e.g., Natural Language Processing)
5th Semester	Advanced Machine Learning, Computer Vision, Big Data Analytics, Elective II (e.g., Robotics), Project Work I
6th Semester	Reinforcement Learning, Cloud Computing for AI and ML, Ethical and Social Issues in AI, Elective III (e.g., Internet of Things), Project Work II

This table is a simplified and generic representation. For the actual syllabus, including detailed course descriptions, prerequisites, elective options, and other program requirements, please refer to the official Satyug Darshan Institute of Engineering & Technology website or contact their academic department directly.

Satyug Darshan Institute of Engineering & Technology BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

As of my last update in April 2023, I don't have access to the specific curriculum details for the BCA in Artificial Learning & Machine Learning (AL-ML) program at Satyug Darshan Institute of Engineering & Technology. However, I can provide you with a general outline of important topics that are typically covered in such programs. For the most accurate and up-to-date information, please refer to the official website or contact the institution directly. Here's a general outline in a single-line HTML table format:

Module	Topics Covered
Introduction to AI & ML	History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning
Data Preprocessing	Data Cleaning, Normalization, Transformation, Feature Engineering
Machine Learning Algorithms	Supervised Learning, Unsupervised Learning, Reinforcement Learning
Deep Learning	Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Natural Language Processing	Text Processing, Sentiment Analysis, Chatbots
Computer Vision	Image Processing, Object Detection, Image Classification
AI Ethics and Society	Impact of AI, Ethical Considerations, Future of Work
Capstone Project	Real-world AI/ML Project, Team Collaboration, Project Presentation

This table provides a simplified overview and the actual curriculum may include more detailed or additional topics.

Satyug Darshan Institute of Engineering & Technology BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) specialization at Satyug Darshan Institute of Engineering & Technology?

The BCA in Artificial Learning & Machine Learning (AL-ML) specialization is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA AL-ML program at Satyug Darshan Institute of Engineering & Technology?

Candidates must have completed 10+2 or equivalent examination from a recognized board with Mathematics as a subject to be eligible for the BCA AL-ML program.

What is the admission process for the BCA AL-ML specialization at Satyug Darshan Institute of Engineering & Technology?

Admission to the BCA AL-ML program is based on the candidate's performance in the qualifying examination (10+2) and any entrance exam if applicable, followed by a counseling session.

What kind of career opportunities can I expect after completing the BCA in AL-ML from Satyug Darshan Institute of Engineering & Technology?

Graduates can expect opportunities in fields such as data analysis, machine learning engineering, artificial intelligence development, software development, and more in various industries including IT, healthcare, finance, and e-commerce.

Does Satyug Darshan Institute of Engineering & Technology provide placement assistance for BCA AL-ML students?

Yes, the institute has a dedicated placement cell that provides training and placement assistance to students. It collaborates with various industries to organize campus interviews and helps students in securing positions in reputable organizations.

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