B.Tech CSE in Artificial Intelligence & Machine Learning | K.R. Mangalam
banner

B.Tech Computer Science and Engineering in AI & ML with Samatrix and IBM

icon

School of Engineering & Technology

Duration

4Years

Fees Structure

Semester-I

Rs.1,00,000/-

Semester-II

Rs.1,00,000/-

Total Fee

Rs.2,00,000/-

Overview

B.Tech in Computer Science Engineering (CSE) with Specialization in Artificial Intelligence and Machine Learning is a course featured by K.R. Mangalam University’s School of Engineering and Technology (SOET) which helps its students to gain a practical understanding of various Artificial Intelligence (AI) and Machine Learning (ML) functions and grows individual networks through cross-functional relationships.

K.R. Mangalam University (KRMU) has developed this course with the help of industry experts keeping in mind the advancement and increased demand of the use of AI and ML in today’s industries. KRMU has joined hands with Samatrix to develop this advanced curriculum to focus on developing the critical understanding of Linear Algebra and Statistics that are the foundation of AI and ML concepts.

This course also covers the foundations of Python coding language to create a strong base in programming with the help of live projects. Students get to train under highly proficient Industry experts and academicians who will not only clear their concepts in the field but also make them ready to reach heights in this industry.

Programme Highlights

  • Students enrolling in this course get a chance to be trained by IBM and Samatrix experts.
  • The curriculum focuses on the building of Software applications using Machine Learning, Deep Learning Algorithms, Data Cleaning and Visualization, Natural language Processing and Computer Vision.
  • Regular classes are being held by industry professionals in the campus only
  • LMS access has been provided to all the students enrolled in this course. LMS is a collection of a large number of data-sets, projects, puzzles, assignments and interview questions which not only increases the student’s theoretical and practical knowledge but also helps them in getting placed at a world-class organization.
  • KRMU issues a certificate after successful completion of the program which has been acclaimed and recognized globally.
  • Students enrolled in this course are given free participation in Hackathon to display their skills and earn laurels.
  • Students having an inclination towards startups are given exposure to in-house Incubation Cell which have been nurturing various startups since its inception.
  • Job Opportunities includes Machine Learning Engineer, AI Developer, Data Analytics etc.
artifical
artifical
artifical
artifical
artifical

 

Programme Structure

Semester 1
Course Title Credit
Applied Mathematics-I 4
Engineering Physics 4
Environmental Studies 3
Programming for Problem Solving(With Python +Clean Coding offered by IBM) 3
Programming for Problem Solving(With Python +Clean Coding offered by IBM) Lab 1
Open Elective-I(Overview of AI, Data Science, Ethics and Foundation of Data Analysis) 2
Open Elective-I(Overview of AI, Data Science, Ethics and Foundation of Data Analysis)Lab 1
Engineering Physics Lab 1
Basics of Electrical & Electronics Engineering 4
Basics of Electrical & Electronics Engineering Lab 1

Semester 2
Course Title Credit
Applied Mathematics-II 4
Communication Skills 4
Engineering Chemistry 4
Engineering Graphics Lab 1.5
Engineering Chemistry Lab 1
Data Analysis using Python, Numpy, Pandas, Matplotlib, and Seaborn
2
Workshop Practices  1.5
Data Analysis using Python, Numpy, Pandas, Matplotlib, and Seaborn Lab 1

Semester 3
Course Title Credit
Applied Mathematics–III 4
Probabilistic Modelling and Reasoning with Python 2
Foundation of Computer Systems 4
Data Structures 4
Disaster Management 3
R Programming for Data Science and Data Analytics 2
Data Structures Lab 1
Probabilistic Modelling and Reasoning with Python Lab 1
R Programming for Data Science and Data Analytics Lab 1
Business Communication Skills- I 1

Semester 4
Course Title Credit
Computer Organization & Architecture 4
Analysis and Design of Algorithms 4
Database Management Systems 4
Machine Learning and Pattern Recognition 3
Fundamentals of Management( With Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow) 5
Database Management Systems Lab 1
Analysis and Design of Algorithms Lab 1
Business Communication Skills- II 1

Semester 5
Course Title Credit
Big Data Analystics offered by IBM 3
Theory of Computation 4
Operating Systems 4
Computer Networks 4
Computer Networks Lab 1
Big Data Analytics Lab  1
iOS Development Lab 1
Operating System Lab 1
Practical Training I 1
Quantitative Aptitude Reasoning - I 1

Semester 6
Course Title Credit
Compiler Design 4
Neural Networks and Deep Learning  3
Deep Learning Practical  with Python, TensorFlow and Keras 2
Data Science - Tools and Techniques 2
Natural Language Processing 2
Quantitative Aptitude Reasoning - II 1
Data Science - Tools and Techniques Lab 1
Natural Language Processing Lab 1
Graph Theory 3
Distributed Computing Systems 3
Advanced Computer Architecture 3

Semester 7
Course Title Credit
Computer Vision 2
Minor Project 6
Computer Vision Lab 1
Practical Training II 2
Data Visualization and Story Telling 2
Data Visualization and Story Telling Lab 1
Cloud Computing 4
Cloud Computing Lab 1
Internet of Things 4
Internet of Things Lab 1
Data Warehousing and Data Mining 4
Data Warehousing and Data Mining Lab 1

Semester 8
Course Title Credit
Major Project 6
Elective 3
Elective 4

 

Eligibility Criteria

Candidates who have a knack for learning the intricacies of the computer and also want to get hands-on experience in the field of Artificial Intelligence and Machine Learning should opt for this course at K.R. Mangalam University for having a bright future in this field. This course will not only enhance their already acquired skills but also make them goal-oriented.

Get in touch with us