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

Prayagraj ( Uttar Pradesh )

Estd In: 1998

Last Updated on February 15, 2024 4:18 PM

United University is excited to introduce its Bachelor of Computer Applications (BCA) program with a specialization in Artificial Learning & Machine Learning (AL ML). This innovative program aims to provide students with the knowledge and skills needed to excel in the rapidly evolving fields of artificial intelligence and machine learning. The curriculum is comprehensive covering a range of topics including data structures, algorithms, neural networks, natural language processing and cognitive computing. It offers students a rounded education encompassing both theoretical concepts and practical applications. At United University our faculty consists of professionals and academics who are leaders in the AL ML field. They bring their expertise and dedication to teaching into the classroom ensuring that students receive an education that's at the forefront of research and industry practices. The selection process for this program is rigorous as we aim to identify students who possess a strong aptitude for computational thinking and a genuine passion for technological innovation. The BCA in AL ML program at United University emphasizes project based learning and collaboration. By engaging in real world challenges our graduates are equipped to make contributions to technology and society as they enter the global job market. Additionally students have opportunities, for internships and research projects which further enhance their learning experience while improving their employability.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

United University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration	Fees	Mode of Study	Course Level	Institute Type
3 Years	Varies	Online/On-Campus	Undergraduate	University

United University BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Semester	Subjects	Topics
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence	Programming basics, Discrete Mathematics, Search algorithms, Machine learning overview
Semester 2	Data Structures and Algorithms, Probability and Statistics, Fundamentals of Machine Learning	Complexity, Sorting and Searching, Probability theories, Supervised learning
Semester 3	Database Management Systems, Computer Networks, Deep Learning Fundamentals	SQL, NoSQL, OSI Model, Neural Networks
Semester 4	Operating Systems, Natural Language Processing, Applied Machine Learning	Processes and Threads, Text processing, Regression models, Classification models
Semester 5	Web Technologies, Reinforcement Learning, Elective 1 (e.g., Robotics, Computer Vision)	HTML, CSS, JavaScript, Q-learning, Specific topics based on elective
Semester 6	Project Work, Elective 2 (e.g., Big Data Analytics, Internet of Things), Seminar on Current Trends in AL-ML	Project implementation, Specific topics based on elective, Recent advancements in AL-ML

This table is a simplified example and does not cover all aspects or potential variations of a BCA in AL-ML curriculum. Universities often update their syllabi to keep up with advancements in the field, so it's best to consult the official university website or contact the university directly for the most accurate and up-to-date information.

United University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Artificial Learning (AL) Topics	Machine Learning (ML) Topics
Introduction to Artificial Intelligence	Supervised Learning Techniques
Logic and Planning	Unsupervised Learning Techniques
Knowledge Representation	Neural Networks and Deep Learning
Expert Systems	Decision Trees and Random Forests
Natural Language Processing	Support Vector Machines
Robotics and Perception	Ensemble Learning
Search Algorithms	Model Evaluation and Fine-Tuning
Game Theory and Strategic Play	Feature Engineering and Dimensionality Reduction
Machine Ethics and AI Safety	Reinforcement Learning

United University BCA Course FAQs

What are the eligibility criteria for the BCA in Artificial Learning & Machine Learning (AL-ML) at United University?

To be eligible for the BCA in AL-ML at United University, candidates must have completed their 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects. They should have secured a minimum aggregate of 50% marks.

How much are the fees for the BCA in Artificial Learning & Machine Learning (AL-ML) program at United University?

The total fee for the BCA in AL-ML program at United University is approximately INR 1.5 lakhs per annum. This fee structure is subject to change, and students are advised to check the official university website for the most current information.

What is the selection process for the BCA in AL-ML program at United University?

The selection process for the BCA in AL-ML program at United University typically involves a review of the applicant's academic records, followed by a personal interview. Some candidates may also be required to take an entrance exam, depending on their previous academic performance.

Is there a cut off mark for admission into the BCA in AL-ML program at United University?

Yes, there is a cut off mark for admission into the BCA in AL-ML program at United University. The specific cut off mark varies each year based on the overall performance of applicants. It is recommended that prospective students check the university's official website or contact the admissions office for the most current cut off information.

What are the placement opportunities like for graduates of the BCA in AL-ML program at United University?

Graduates of the BCA in AL-ML program at United University have excellent placement opportunities. The university has a dedicated placement cell that works closely with leading companies in the technology sector. Past graduates have secured positions in areas such as data analysis, machine learning engineering, and artificial intelligence research at top firms.

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