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IMS Noida BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Noida ( Uttar Pradesh )
location Estd In: 1998
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BCA in Artificial Learning & Machine Learning (AL-ML) at IMS Noida - Course, Fees, Admission, Seats, Syllabus
location
Noida ( Uttar Pradesh )
location
Estd In: 1998
Last Updated on February 15, 2024 2:15 PM
The Institute of Management Studies (IMS) Noida has established itself as a tier educational institution specifically known for its Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML). This innovative course is meticulously designed to equip students with both knowledge and advanced skills necessary to excel in the ever evolving fields of artificial intelligence and machine learning. The curriculum strikes a balance between concepts and practical application ensuring that students are well versed in the latest technologies and methodologies. IMS Noida prides itself on its faculty, which consists of experienced academics and industry professionals who bring a wealth of knowledge and real world expertise into the classroom. This enriches the learning experience by providing students with insights into current industry practices as well as future trends. Admission to the BCA in AL ML program is highly competitive with a selection process that evaluates applicants based on their academic achievements, passion for technology and potential for innovation. The institute offers support to ensure that students not only excel academically but also develop holistically. Graduates from this program have access to attractive job opportunities due to IMS Noidas strong connections, with industries and its dedicated placement cell. The institutes alumni are highly sought after by leading technology companies and startups which speaks volumes about the quality of education and training provided by IMS Noida.
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Table of Contents

IMS Noida BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

FeatureDetail
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries
Mode of StudyFull Time
Institute TypePrivate

IMS Noida BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computing, Digital Electronics, English Communication, Environmental Studies
Semester 2Object-Oriented Programming, Data Structures, Discrete Mathematics, Principles of Management, Financial Accounting
Semester 3Database Management Systems, Operating Systems, Web Technologies, Soft Skills, Artificial Intelligence
Semester 4Computer Networks, Algorithm Analysis and Design, Python Programming, Machine Learning Basics, Business Analytics
Semester 5Deep Learning, Natural Language Processing, Big Data Analytics, Cloud Computing, Elective 1 (IoT, Robotics, etc.)
Semester 6Project Work, Internship, Advanced Machine Learning, Elective 2 (Advanced AI Techniques, etc.), Elective 3 (Blockchain Technology, etc.)

IMS Noida BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Core TopicsRelated Technologies/Concepts
Introduction to ProgrammingPython, Java
Data Structures and AlgorithmsArrays, Linked Lists, Sorting Algorithms
Mathematics for Machine LearningLinear Algebra, Calculus, Statistics
Introduction to Artificial IntelligenceHistory of AI, Applications of AI
Machine Learning FundamentalsSupervised Learning, Unsupervised Learning
Deep LearningNeural Networks, Convolutional Neural Networks
Natural Language ProcessingText Processing, Sentiment Analysis
Computer VisionImage Recognition, Object Detection
Reinforcement LearningQ-Learning, Policy Gradient Methods
Big Data TechnologiesHadoop, Spark
AI Ethics and SocietyPrivacy, Bias, and Fairness
This table provides a general overview of topics that are often part of a curriculum focusing on Artificial Learning and Machine Learning. For the most accurate and up-to-date information, please consult the official curriculum or contact the Institute of Management Studies, Noida directly.

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