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

Kottayam ( Kerala )

Estd In: 2017

Last Updated on February 06, 2024 10:08 PM

CMS College provides a Bachelor of Computer Applications (BCA) program with a range of specializations to cater to students diverse interests in the field of computer science. The college focuses on learning and industry relevant skills preparing students for the constantly evolving IT industry. Currently CMS College offers five BCA specializations; Software Development, Data Analytics, Cybersecurity, Web Development and Artificial Intelligence. These specializations enable students to tailor their education according to their career goals and interests. With faculty members and modern facilities CMS College creates an ideal environment for students to excel and become competent professionals, in the dynamic world of computer applications.

Introduction
Specializations Highlights
Specializations Important Topics
FAQs

CMS Kottayam BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
3 years	Undergraduate	INR 50,000 per year	Full-time	Private

CMS Kottayam BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Topic	Description
Introduction to Machine Learning	Overview of ML, types of learning, applications
Python for Machine Learning	Python basics, libraries for ML (NumPy, Pandas, Matplotlib, Scikit-learn)
Data Preprocessing	Handling missing data, feature scaling, data cleaning
Supervised Learning	Linear regression, logistic regression, decision trees, support vector machines
Unsupervised Learning	K-means clustering, hierarchical clustering, PCA (Principal Component Analysis)
Neural Networks and Deep Learning	Basics of neural networks, deep learning frameworks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks)
Natural Language Processing (NLP)	Text preprocessing, sentiment analysis, machine translation
Reinforcement Learning	Introduction to RL, Q-learning, policy gradients
Ethics in AI	Understanding ethical implications, bias in AI, privacy concerns

CMS Kottayam BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) course at CMS College?

The BCA in Artificial Learning & Machine Learning (AL-ML) course at CMS College is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA AL-ML course at CMS College?

To enroll in the BCA AL-ML course at CMS College, candidates must have completed their 10+2 or equivalent examination with Mathematics as a subject and secured a minimum aggregate percentage as specified by the college.

Does CMS College provide placement assistance for BCA AL-ML graduates?

Yes, CMS College provides placement assistance to BCA AL-ML graduates. The college has a dedicated placement cell that organizes campus recruitment drives and training sessions to help students secure positions in reputed companies.

What are the key topics covered in the BCA AL-ML curriculum at CMS College?

The BCA AL-ML curriculum at CMS College covers a wide range of topics including Programming Languages, Data Structures, Algorithms, Database Management Systems, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, and several project works related to AL and ML.

Are there any internship opportunities available for BCA AL-ML students at CMS College?

Yes, CMS College encourages BCA AL-ML students to undertake internships during their course. The college has tie-ups with various industries and organizations where students can gain practical experience and enhance their learning.

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

Table of Contents

CMS Kottayam BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

CMS Kottayam BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

CMS Kottayam BCA Course FAQs

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