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

Given the constraints of the request and the lack of specific data available to me as of my last update in April 2023, I'll provide a generic example of how such a table could be structured in HTML. Please replace the placeholder text with the actual data when you have it.

Highlight	Details
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs. 1,20,000 (Approx)
Mode of Study	Full-time
Institute Type	Private

This table structure includes a header row with "Highlight" and "Details" as column headings, followed by rows for each of the requested pieces of information: Course Duration, Course Level, Course Tuition Fees, Mode of Study, and Institute Type. Please note that the tuition fees and other details are placeholders and should be updated with the actual figures for Dayanand Academy of Management Studies' BCA in Artificial Learning & Machine Learning (AL-ML) program.

As of my update in April 2023 I don't have the exact syllabus for the BCA program in Artificial Learning & Machine Learning (AL ML) at Dayanand Academy of Management Studies (DAMS). However I can give you an overview of what such a program might cover based on typical BCA curricula that focus on Artificial Intelligence (AI) and Machine Learning (ML) in different institutions. Please note that for the accurate and up, to date syllabus it's best to directly contact Dayanand Academy of Management Studies or visit their official website. Principles of Machine Learning; Environmental Studies Year 2; Core Concepts and Development Semester 3; Advanced Data Structures and Algorithms Operating Systems Web Technologies Statistics for Machine Learning AI & ML Project I (A project focusing on the application of basic ML algorithms) Semester 4; Computer Networks Software Engineering Deep Learning Fundamentals Elective I (Options may include Natural Language Processing, Robotics, etc.) AI & ML Project II (An project possibly involving deep learning) Year 3; Specialization and Advanced Studies Semester 5; Cloud Computing for AI & ML Big Data Analytics Elective II ( topics in AI/ML or related fields) Elective III Industrial Training/Internship (Focused on AI and ML projects) Semester 6; Ethics in AI Advanced Machine Learning Models IV Major Project (A capstone project that requires students to solve a real world problem using AI/ML) Electives; Electives provide an opportunity to specialize further in areas such as; Reinforcement Learning Computer Vision The Internet of Things (IoT) for AI Blockchain Technologies Cybersecurity Fundamentals Additional Components; Workshops on current tools and technologies, in the field of AI & ML. Seminars conducted by industry experts. Group. Presentations aimed at improving soft skills. Please note that this is an outline and there may be some variations depending on the specific curriculum.

Sure, here's a simplified representation of the important topics taught in the BCA in Artificial Learning & Machine Learning (AL-ML) course at Dayanand Academy of Management Studies, formatted in a single-line HTML table:

Module	Topics
Introduction to AL & ML	History of AI, Basics of Machine Learning, Difference between AI, ML, and Deep Learning
Python for ML	Python Basics, Libraries for ML (NumPy, Pandas, Matplotlib), Data Handling
Data Preprocessing	Data Cleaning, Data Transformation, Feature Scaling, Handling Missing Values
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, CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks)
Natural Language Processing (NLP)	Text Preprocessing, Word Embeddings, Sentiment Analysis, Chatbots
Reinforcement Learning	Introduction to Reinforcement Learning, Q-Learning, Policy Gradient Methods
Project Work	Real-world ML Project, Project Documentation, Presentation Skills

This table provides a concise overview of the curriculum, including foundational topics, programming skills, various learning paradigms, and practical project work. Please note that the actual curriculum may vary and it's always best to check the latest course details directly from the institution.