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Ganga Institute of Technology and Management BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Ganga Institute of Technology and Management - Course, Fees, Admission, Seats, Syllabus

location Jhajjar ( Haryana )
location Estd In: 2008
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BCA in Artificial Learning & Machine Learning (AL-ML) at Ganga Institute of Technology and Management - Course, Fees, Admission, Seats, Syllabus
location
Jhajjar ( Haryana )
location
Estd In: 2008
Last Updated on February 20, 2024 4:50 PM
GITAM, known as Ganga Institute of Technology and Management is renowned for its standards in higher education particularly in the domain of computer applications. With a commitment to nurturing talented individuals who can navigate the complexities of the digital realm GITAM offers a comprehensive and cutting edge Bachelor of Computer Applications (BCA) program. This program aims to provide students with a foundation in computer science while also equipping them with practical skills in software development and information technology. Understanding the needs of both industries and students GITAM offers an impressive range of specializations within its BCA program. Students have the opportunity to choose from five specializations; Cloud Computing, Internet of Things (IoT) Data Science, Cyber Security and Artificial Intelligence & Machine Learning. Each specialization at Ganga Institute of Technology and Management is carefully designed to empower students with the knowledge and skills required for success in their chosen fields. As a result GITAM has become a destination, for aspiring computer professionals.
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Ganga Institute of Technology and Management BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Approximate Course Tuition FeesINR 1.5 Lakhs (Total)
Mode of StudyFull Time
Institute TypePrivate

Ganga Institute of Technology and Management BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
Semester 2Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Environmental Studies
Semester 3Operating Systems, Object-Oriented Programming, Statistics for Machine Learning, Soft Skills
Semester 4Computer Networks, Advanced Database Management Systems, Deep Learning, Minor Project
Semester 5Natural Language Processing, Big Data Analytics, Elective 1 (e.g., Robotics), Industrial Training
Semester 6Cloud Computing, Elective 2 (e.g., Internet of Things), Major Project, Seminar on Current Trends in AL & ML
Please replace the content with the actual syllabus from the Ganga Institute of Technology and Management once you have it for an accurate representation.

Ganga Institute of Technology and Management BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Basics of Computer Systems, Mathematics for Computer Science
Semester 2Data Structures, Object-Oriented Programming, Database Management Systems
Semester 3Operating Systems, Web Technologies, Discrete Mathematics
Semester 4Algorithms Analysis and Design, Computer Networks, Introduction to Artificial Intelligence
Semester 5Machine Learning Fundamentals, Deep Learning, Natural Language Processing
Semester 6Advanced Machine Learning, Project Work (AL-ML), Emerging Trends in AI and ML

Ganga Institute of Technology and Management BCA Course FAQs

What is the eligibility criteria for BCA in Artificial Learning & Machine Learning (AL-ML) at Ganga Institute of Technology and Management?
The eligibility criteria for enrolling in the BCA in Artificial Learning & Machine Learning (AL-ML) program at Ganga Institute of Technology and Management 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% is typically required.
How much are the fees for the BCA in AL-ML program at Ganga Institute of Technology and Management?
The fee structure for the BCA in Artificial Learning & Machine Learning (AL-ML) program at Ganga Institute of Technology and Management is subject to change annually. Prospective students are advised to check the institute's official website or contact the admissions office directly for the most current fee information.
What is the selection process for the BCA in AL-ML program at Ganga Institute of Technology and Management?
The selection process for the BCA in AL-ML program at Ganga Institute of Technology and Management typically involves a review of the applicant's academic records, performance in qualifying examinations, and any other criteria as specified by the institute. Some years, the institute may also conduct personal interviews or entrance tests as part of the selection process.
Is there a cut off mark for enrolling in the BCA in AL-ML program at Ganga Institute of Technology and Management?
Yes, there is a cut off mark for enrolling in the BCA in Artificial Learning & Machine Learning (AL-ML) program at Ganga Institute of Technology and Management. The specific cut off mark varies each year depending on the overall performance of applicants and the number of available seats. Prospective students should check the institute's official website or contact the admissions office for the current year's cut off mark.
What are the placement opportunities for graduates of the BCA in AL-ML program at Ganga Institute of Technology and Management?
Graduates of the BCA in Artificial Learning & Machine Learning (AL-ML) program at Ganga Institute of Technology and Management have good placement opportunities with various tech companies and startups. The institute's placement cell actively works to facilitate interactions between students and potential employers, offering career guidance, workshops, and on-campus recruitment drives. Past graduates have secured positions in fields such as data analysis, machine learning engineering, software development, and more.

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