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Shri Shankaracharya Professional University BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Shankaracharya Professional University - Course, Fees, Admission, Seats, Syllabus

location Bhilai ( Chhattisgarh )
location Estd In: 2020
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BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Shankaracharya Professional University - Course, Fees, Admission, Seats, Syllabus
location
Bhilai ( Chhattisgarh )
location
Estd In: 2020
Last Updated on February 21, 2024 5:20 PM
Shri Shankaracharya Professional University provides a cutting edge Bachelor of Computer Applications (BCA) program specializing in Artificial Learning & Machine Learning (AL ML). This innovative course combines knowledge with hands on experience to prepare students for the ever changing landscape of AI and machine learning. Graduates are equipped to handle technological and data science challenges thanks to a curriculum that spans from basic programming skills to advanced algorithms. The program also highlights the aspects and societal implications of AI technologies shaping students into responsible leaders, in the digital era.
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Shri Shankaracharya Professional University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse FeeMode of StudyInstitute Type
3 YearsUndergraduateVariesFull-timeProfessional University

Shri Shankaracharya Professional University BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Creating a comprehensive semester-wise syllabus for a specific course like the BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Shankaracharya Professional University in a single line HTML format requires detailed and specific information that might not be readily available without direct access to the university's curriculum documents. However, I can provide you with a generic template based on common structures for such programs. This template can be customized once the specific details are known. Please note, the following is a hypothetical example and should be adapted to fit the actual course offerings and requirements of Shri Shankaracharya Professional University's BCA in AL-ML program.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
Semester 2Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning
Semester 3Advanced Mathematics for AI, Operating Systems, Computer Networks, Deep Learning Fundamentals
Semester 4Statistics for AI, Natural Language Processing, Computer Vision, Elective 1 (AI & Ethics/Quantum Computing)
Semester 5Reinforcement Learning, Cloud Computing for AI, Project Work (Part 1), Elective 2 (Robotics/Blockchain in AI)
Semester 6Advanced Machine Learning, AI in Healthcare, Project Work (Part 2), Elective 3 (Internet of Things/Big Data Analytics)
This table includes a basic structure where each semester lists subjects that might be part of an AL-ML curriculum. The actual subjects, their sequence, and the electives offered can vary greatly depending on the university's specific program structure, the evolution of the field, and the focus areas deemed most critical by the faculty. Always refer to the official university curriculum for accurate and up-to-date information.

Shri Shankaracharya Professional University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Important Topics in BCA AL-ML Course at Shri Shankaracharya Professional University
Introduction to Programming
Data Structures and Algorithms
Mathematics for Machine Learning
Principles of Artificial Intelligence
Machine Learning Algorithms
Deep Learning
Natural Language Processing
Computer Vision
Reinforcement Learning
Big Data Analytics
Cloud Computing for AI
AI Ethics and Law

Shri Shankaracharya Professional University BCA Course FAQs

What is the eligibility criteria for BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Shankaracharya Professional University?
The eligibility criteria for enrolling in the BCA in AL-ML program at Shri Shankaracharya Professional University require candidates to have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject. A minimum aggregate score of 50% (45% for reserved category candidates) is also required.
What are the fees for the BCA in AL-ML program at Shri Shankaracharya Professional University?
The total fees for the BCA in Artificial Learning & Machine Learning program at Shri Shankaracharya Professional University are approximately INR 1.5 lakhs per annum. However, students are advised to check the official university website or contact the admissions office for the most current fee structure.
Which entrance exams are accepted for admission into the BCA in AL-ML program at Shri Shankaracharya Professional University?
Shri Shankaracharya Professional University accepts scores from national level entrance exams such as JEE Mains, or state-level entrance exams for admissions into the BCA in AL-ML program. Additionally, the university may also conduct its own entrance examination or personal interview as part of the selection process.
What is the selection process for the BCA in AL-ML program at Shri Shankaracharya Professional University?
The selection process for the BCA in AL-ML program at Shri Shankaracharya Professional University typically involves a review of the candidate's academic record, scores from relevant entrance exams, and performance in a personal interview. The university may also consider other criteria such as extracurricular activities and achievements.
What are the placement opportunities for graduates of the BCA in AL-ML program at Shri Shankaracharya Professional University?
Graduates of the BCA in AL-ML program at Shri Shankaracharya Professional University have opportunities to be placed in leading IT and tech companies through the university's placement cell. The placement cell organizes campus drives, workshops, and training sessions to prepare students for their careers. Past recruiters include top firms in the technology sector, offering roles in software development, data analysis, machine learning engineering, and more.

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