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College of Applied Education and Health Sciences BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at College of Applied Education and Health Sciences - Course, Fees, Admission, Seats, Syllabus

location Meerut ( Uttar Pradesh )
location Estd In: 2000
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BCA in Artificial Learning & Machine Learning (AL-ML) at College of Applied Education and Health Sciences - Course, Fees, Admission, Seats, Syllabus
location
Meerut ( Uttar Pradesh )
location
Estd In: 2000
Last Updated on February 20, 2024 6:06 PM
Welcome to the College of Applied Education and Health Sciences an institution dedicated to fostering the next generation of technology leaders and visionaries. Our Bachelor of Computer Applications (BCA) program specializing in Artificial Learning & Machine Learning (AL ML) is designed to equip students with the skills and knowledge to thrive in the rapidly evolving fields of artificial intelligence (AI) and machine learning (ML). **Overview of the Course;** The BCA program in AL ML spans three years divided into six semesters. It offers a curriculum that covers essential subjects such as computer science fundamentals, artificial intelligence concepts, machine learning algorithms, data analytics, deep learning techniques and neural networks. This course is meticulously structured to provide students with both foundations and practical expertise ensuring their preparedness for industry roles upon graduation. **Course Fees;** We have designed a fee structure for the BCA program in AL ML while prioritizing accessibility to high quality education. The total course fee is XYZ (Please note that exact fees may vary; prospective students are encouraged to refer to our official college website or contact the admissions office for up to date information). **Facilities for BCA, in AL ML Students;** Our college is fully committed to providing a learning environment that enriches our students educational journey.Some of the facilities provided to AL ML students at BCA include; State of the Art Laboratories; Equipped with the hardware and software to support projects related to artificial intelligence and machine learning. Library and Digital Resources; Access a collection of books, journals and digital resources in computer science, artificial intelligence and machine learning fields. Innovation Hub; A space that nurtures creativity and innovation enabling students to work on real world projects and prototypes. Career Services; Specialized services to assist students in finding internships, job placements and career guidance. Placements; The College of Applied Education and Health Sciences has a track record in terms of placements. This is possible due to our placement cells efforts as well as strong industry connections. Our graduates have secured positions in leading tech companies, startups and research institutions. The placement cell also organizes workshops, seminars and mock interviews to help students prepare for their job search. Notable recruiters from the tech industry have offered roles such as AI/ML Engineer, Data Analyst, Research Scientist among others. Why Choose BCA in AL ML at Our College? Expert Faculty; Learn from faculty members who are recognized experts, in their respective fields.
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College of Applied Education and Health Sciences BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration4 Years
Course LevelUndergraduate
Course Tuition FeesVaries by region
Mode of StudyFull Time
Institute TypeCollege of Applied Education and Health Sciences

College of Applied Education and Health Sciences BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Certainly! Below is a simplified example of a single-line HTML table for a semester-wise syllabus of a BCA in Artificial Learning & Machine Learning (AL-ML) course. Please note that the actual course names and the structure might vary based on the specific curriculum offered by the College of Applied Education and Health Sciences. This is a hypothetical example:
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
Semester 2Data Structures and Algorithms, Object-Oriented Programming, Linear Algebra, Principles of Machine Learning
Semester 3Database Management Systems, Operating Systems, Statistics for Data Science, Deep Learning Fundamentals
Semester 4Computer Networks, Web Technologies, Applied Machine Learning, Research Methodologies
Semester 5Natural Language Processing, Computer Vision, Big Data Analytics, Elective I (IoT/Blockchain Technology/Quantum Computing)
Semester 6Capstone Project, Elective II (Robotics/Augmented Reality/Virtual Reality), Industry Internship
This table includes a basic structure with two columns: one for the semester and another for the subjects taught in that semester. Each row after the header row represents a different semester and lists subjects that might be part of an AL-ML course curriculum. Remember, this is a simplified example, and actual course offerings can be more detailed and varied.

College of Applied Education and Health Sciences BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Sure, here's a simplified example of how the important topics for a BCA in Artificial Learning & Machine Learning (AL-ML) at the College of Applied Education and Health Sciences might be presented in a single-line HTML table format:
ModuleTopics
Introduction to AL & MLHistory of AI, Basics of Machine Learning, Difference between AI, ML, and Deep Learning
Python for MLPython Basics, Libraries for ML (NumPy, Pandas, Matplotlib), Data Handling
Data Science & StatisticsDescriptive Statistics, Inferential Statistics, Probability, Data Distribution
Machine Learning AlgorithmsSupervised Learning, Unsupervised Learning, Reinforcement Learning, Algorithms like Linear Regression, Logistic Regression, Decision Trees, SVM, KNN, Clustering, Dimensionality Reduction
Deep LearningNeural Networks, CNN, RNN, GANs, TensorFlow and Keras
Natural Language Processing (NLP)Text Processing, Sentiment Analysis, Chatbots, NLP Libraries
AI & ML Project ManagementProject Lifecycle, Agile and Scrum for AI Projects, Ethics in AI, Deployment and Maintenance
This table includes a column for the module name and another for the topics covered within each module, providing a concise overview of the curriculum. Please note that the actual curriculum might vary based on the institution and the specific program structure.

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