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

Based on my update in April 2023 it may be challenging to find specific details about the BCA in Artificial Learning & Machine Learning (AL ML) program at Maharishi Markandeshwar University (MMU) Mullana. Universities often update their course offerings making it difficult to provide information. However I can offer you a template based on the typical characteristics of similar programs. For the up to date and precise information I recommend visiting the official MMU Mullana website or contacting the university directly. Here are some key features you can expect from this program; Course Duration; Typically lasts for 3 years but keep in mind that this duration may vary depending on how the program is structured. Course Level; This is an undergraduate program. Tuition Fees; The fees can vary depending on factors like the year and specific program details. Generally tuition fees for institutions offering specialized fields like Artificial Learning and Machine Learning range from tens of thousands to over a lakh per annum in INR. Mode of Study; Full time attendance is usually required, but there might be part time or distance learning options available for certain courses. Institute Type; MMU Mullana is an university. Please note that tuition fees for programs such as Artificial Learning and Machine Learning can differ significantly due to factors like the nature of the program itself laboratory and equipment fees as well, as additional services provided by the institution. Furthermore universities frequently revise their curriculum. Course options to stay abreast of advancements in the field and meet the evolving demands of industries. These updates may have an impact on the duration and structure of courses. To obtain the precise and current information about the BCA in AL ML program, at Maharishi Markandeshwar University, Mullana it is advisable to visit the official website or reach out to their admissions office. They will provide information regarding the curriculum, faculty and admission requirements.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Environmental Studies
Semester 2	Data Structures, Discrete Mathematics, Principles of Machine Learning, Database Management Systems, Digital Electronics
Semester 3	Algorithms, Operating Systems, Statistics for Machine Learning, Object-Oriented Programming, Web Technologies
Semester 4	Computer Networks, Software Engineering, Deep Learning, Artificial Neural Networks, Elective 1
Semester 5	Natural Language Processing, Computer Vision, Big Data Analytics, Elective 2, Project Work 1
Semester 6	Robotics and Automation, Reinforcement Learning, Elective 3, Elective 4, Project Work 2

This table is a simplified representation and does not cover all details such as lab work, internships, or specific elective options. For detailed information, please refer to the official curriculum provided by the university.