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Global Institute of Management Science BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Bangalore ( Karnataka )
location Estd In: 1999
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BCA in Artificial Learning & Machine Learning (AL-ML) at Global Institute of Management Science - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 1999
Last Updated on February 20, 2024 6:01 PM
The Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML) offered by the Global Institute of Management Science is a state of the art course that aims to equip students with the skills and knowledge to thrive in the dynamic fields of artificial intelligence and machine learning. This program is carefully designed to cover a range of subjects, such as data structures, algorithms, neural networks, natural language processing and robotics. It ensures that students gain an understanding of both theoretical concepts and practical applications. Spanning over three years the curriculum emphasizes project based learning and hands on experience ensuring that graduates are well prepared for industry roles. The selection process for this program involves an entrance examination followed by a personal interview to identify candidates with strong computational thinking abilities and problem solving skills. The fee structure for the BCA in AL ML at the Global Institute of Management Science is designed to be competitive making it accessible for a range of students. The institute prides itself on its placement cell, which actively collaborates with leading companies in the technology industry to provide job opportunities, for its graduates. The placement department also provides training and guidance to assist students in navigating their career paths. In general pursuing a BCA in AL ML at the Global Institute of Management Science presents a prospect, for individuals aspiring to establish themselves in the ever evolving domains of artificial intelligence and machine learning.
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Global Institute of Management Science BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Sure, I'll provide a simplified version of what a syllabus for a BCA in Artificial Learning & Machine Learning (AL-ML) at the Global Institute of Management Science might look like. Please note that this is a hypothetical example, as specific course offerings and structures can vary widely between institutions.
YearSemesterCore CoursesElective CoursesLab Work
11Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial IntelligenceEnvironmental Science, English for CommunicationProgramming Lab, AI Concepts Lab
12Data Structures and Algorithms, Database Management Systems, Statistics for Machine LearningPrinciples of Management, Foreign LanguageData Structures Lab, DBMS Lab
21Operating Systems, Machine Learning Fundamentals, Object-Oriented ProgrammingSoft Skills, Cyber Security FundamentalsMachine Learning Lab, OOP Lab
22Computer Networks, Deep Learning, Web TechnologiesEntrepreneurship, Digital MarketingDeep Learning Lab, Web Technologies Lab
31Advanced Machine Learning, Natural Language Processing, Cloud ComputingProject Management, Intellectual Property RightsAdvanced ML Lab, Cloud Services Lab
32Big Data Analytics, Robotics and Automation, Capstone ProjectBusiness Analytics, Human Resource ManagementBig Data Lab, Robotics Lab
This table is a general representation and should be adapted or expanded based on the specific curriculum and requirements of the Global Institute of Management Science's BCA in AL-ML program.

Global Institute of Management Science BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

ModuleImportant Topics
Introduction to AI & MLHistory of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning
Python for AI & MLPython Basics, Libraries for AI & ML (NumPy, Pandas, Matplotlib)
Machine Learning FundamentalsSupervised Learning, Unsupervised Learning, Reinforcement Learning
Deep LearningNeural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Natural Language Processing (NLP)Text Processing, Sentiment Analysis, Language Models
AI & ML ProjectProject Planning, Dataset Collection, Model Training and Evaluation
This table is a simplified representation and should be adapted to include the specific topics, modules, or any additional content as per the Global Institute of Management Science's curriculum for the BCA in Artificial Learning & Machine Learning (AL-ML) program.

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