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OM Sterling Global University BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at OM Sterling Global University - Course, Fees, Admission, Seats, Syllabus

location Hisar ( Haryana )
location Estd In: 2008
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BCA in Artificial Learning & Machine Learning (AL-ML) at OM Sterling Global University - Course, Fees, Admission, Seats, Syllabus
location
Hisar ( Haryana )
location
Estd In: 2008
Last Updated on February 15, 2024 4:00 PM
OM Sterling Global University offers a Bachelors degree in Computer Applications (BCA) with a specialization in Artificial Learning & Machine Learning (AL ML). This program is designed to provide students with both advanced knowledge essential for the rapidly evolving fields of AI and ML. The focus is on skills and theoretical understanding enabling students to analyze, design and implement AI and ML solutions. The curriculum blends core computer science subjects with courses in artificial intelligence and machine learning ensuring that students are well equipped to tackle complex problems and drive innovation within the tech industry. The BCA program at OM Sterling Global University places emphasis on hands on learning. Students have the opportunity to apply their knowledge in real world scenarios through projects and lab sessions. The course structure has been carefully designed to cover algorithms, data structures, programming languages well as the latest advancements in AI and ML technologies. Graduates of this program find themselves well prepared for career paths such as software development, data analysis or AI research. Furthermore the universitys commitment to keeping up with advancements guarantees that students learn cutting edge practices and tools that make them highly sought after, in the job market.
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Table of Contents

OM Sterling Global University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

FeatureDetail
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries
Mode of StudyFull-time
Institute TypePrivate

OM Sterling Global University BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

As of my last update in April 2023, I don't have access to the specific syllabus details for the BCA in Artificial Learning & Machine Learning (AL-ML) program at OM Sterling Global University. However, I can provide you with a general template for how such a syllabus might be structured based on common subjects covered in similar programs. Please check the university's official website or contact the institution directly for the most accurate and up-to-date syllabus.
SemesterSubjects
1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
2Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Environmental Studies
3Object-Oriented Programming, Operating Systems, Statistics for Machine Learning, Elective I
4Computer Networks, Software Engineering, Deep Learning Fundamentals, Elective II
5Natural Language Processing, Big Data Analytics, Elective III, Project Work I
6Robotics and Automation, Advanced Machine Learning, Elective IV, Project Work II
This table is a simplified example and does not represent the actual syllabus of the BCA in AL-ML program at OM Sterling Global University. The subjects listed are common topics found in similar programs but may not match exactly with what is offered at OM Sterling Global University. Electives can vary widely and are typically chosen based on the student's interests and the specialties of the faculty. Always refer to the official curriculum for the most accurate information.

OM Sterling Global University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Important Topics in BCA in Artificial Learning & Machine Learning (AL-ML)
Introduction to Artificial Intelligence
Machine Learning Fundamentals
Python Programming
Data Structures and Algorithms
Statistics for Data Science
Deep Learning
Natural Language Processing
Computer Vision
Reinforcement Learning
Big Data Analytics
AI Ethics and Law
Project Work and Case Studies

OM Sterling Global University BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) program at OM Sterling Global University?
The BCA in Artificial Learning & Machine Learning (AL-ML) program at OM Sterling Global University is a 3-year undergraduate course.
How much are the tuition fees for the BCA in AL-ML program at OM Sterling Global University?
The tuition fees for the BCA in Artificial Learning & Machine Learning (AL-ML) program at OM Sterling Global University can vary each academic year. Prospective students are advised to check the university's official website or contact the admissions office for the most current fee structure.
What is the admission process for the BCA in AL-ML program at OM Sterling Global University?
The admission process for the BCA in AL-ML program at OM Sterling Global University typically involves submitting an online application through the university's website, followed by document verification. Depending on the university's criteria, there may also be an entrance exam or interview.
What is the syllabus for the BCA in AL-ML program at OM Sterling Global University?
The syllabus for the BCA in AL-ML program at OM Sterling Global University covers a wide range of topics including Programming Languages, Data Structures, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Neural Networks, and Project Work. For a detailed syllabus, students should refer to the official university curriculum or contact the academic department.
What are the selection criteria for the BCA in AL-ML program at OM Sterling Global University?
The selection criteria for the BCA in AL-ML program at OM Sterling Global University typically include academic performance in 10+2 or equivalent examinations, performance in any entrance exam conducted by the university (if applicable), and performance in personal interviews. Specific criteria may vary, so it's recommended to check the university's official admissions guidelines.

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