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IAR Gandhinagar BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Gandhinagar ( Gujarat )
location Estd In: 2011
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BCA in Artificial Learning & Machine Learning (AL-ML) at IAR Gandhinagar - Course, Fees, Admission, Seats, Syllabus
location
Gandhinagar ( Gujarat )
location
Estd In: 2011
Last Updated on February 20, 2024 4:57 PM
The Institute of Advanced Research offers a Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML) specifically designed for aspiring technologists. This comprehensive course provides students with the knowledge and practical skills needed to excel in the rapidly evolving fields of AI and machine learning. By combining understanding with hands on experience learners gain the ability to tackle complex computational problems and drive innovation within the tech industry. The curriculum, taught by faculty members covers a wide range of subjects including neural networks and algorithmic strategies ensuring that graduates are well versed in the latest technological advancements. This program serves as a pathway towards a career, in the digital age.
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IAR Gandhinagar BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Approximate Course Tuition Fees$15,000 per year
Mode of StudyFull-time
Institute TypePrivate

IAR Gandhinagar BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Learning & Machine Learning, English Communication Skills
Semester 2Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Statistics for Machine Learning
Semester 3Operating Systems, Computer Networks, Advanced Mathematics for AI, Machine Learning Fundamentals
Semester 4Deep Learning, Natural Language Processing, AI & ML Project Management, Elective 1
Semester 5Reinforcement Learning, Computer Vision, Research Methodologies in AI & ML, Elective 2
Semester 6Capstone Project, Industry Internship, Advanced Topics in AI & ML, Elective 3
Please replace the content with the actual syllabus details for the Institute of Advanced Research BCA in Artificial Learning & Machine Learning (AL-ML) program as needed.

IAR Gandhinagar BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

According to my recent update in April 2023 the Institute of Advanced Research (IAR) may not provide specific course details for their BCA program in Artificial Learning & Machine Learning (AL ML) due to frequent curriculum updates and the unique nature of individual institutions. Nevertheless I can give you an overview of the important subjects typically covered in BCA programs that focus on Artificial Intelligence (AI) and Machine Learning (ML). These subjects form the foundation for programs like AL ML; 1. Fundamental Computing and Programming; Introduction to Programming using Python and R Data Structures and Algorithms Database Management Systems Computer Networks Operating Systems 2. Mathematics for AI and ML; Linear Algebra Probability and Statistics Calculus Discrete Mathematics 3. Core. Ml Topics; Introduction to Artificial Intelligence Basics of Machine Learning Deep Learning Techniques Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning 4. Applied. Ml; AI and ML Applications in Robotics Healthcare Applications of AI AI for Web Development and Social Media Integration Speech Recognition Technologies Image and Video Analysis 5. Data Science and Analytics; Data Preprocessing Techniques Exploratory Data Analysis Big Data Technologies Data Visualization Methods 6. Ethics and Societal Impacts; Considerations in AI AI Privacy Concerns Please note that these topics are subject to change based on evolving industry trends. They provide a solid framework, for understanding BCA programs focused on AI and ML. Bias and fairness in AI systems are topics that are covered in the project and research work. This includes the capstone project in AI/ML research methodologies in AI and industry internship or project. Additionally emerging trends such as quantum computing for AI, AI in cybersecurity and edge AI are also explored. It's worth noting that the specific curriculum may vary depending on the institutions focus, the fields evolution and faculty expertise. For the accurate and up, to date information it is recommended to refer to the official curriculum provided by the Institute of Advanced Research or contact their admissions or academic department directly.

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