Computer Science and Engineering (Artificial Intelligence and Machine Learning)
AIML · Select a subject
Semester 1
Applied ChemistryBS1102
Applied Chemistry LabBS1103
Communicative EnglishHS1101
Computer Engineering WorkshopES1102
English Communication Skills LaboratoryHS1102
Environmental ScienceMC1101
Mathematics – IBS1101
Programming for Problem Solving using CES1101
Programming for Problem Solving using C LabES1103
Semester 2
Applied PhysicsBS1202
Applied Physics LabBS1203
Constitution of IndiaMC1201
Data StructuresCS1201
Data Structures LabCS1202
Digital Logic DesignES1201
Mathematics – IIBS1201
Python ProgrammingES1202
Python Programming LabES1203
Semester 3
Database Management SystemsCS304
Database Management Systems LabCS303P
Essence of Indian Traditional KnowledgeMC301
Introduction to Artificial Intelligence and Machine LearningCS302
Introduction to Artificial Intelligence and Machine Learning LabCS301P
Mathematical Foundations of Computer ScienceCS301
Mathematics IIIBS301
Mobile App DevelopmentSO301
Object Oriented Programming with JavaCS303
Object Oriented Programming with Java LabCS302P
Semester 4
Computer OrganizationCS401
Data Mining using Python LabCS402P
Data Warehousing and MiningCS402
Formal Languages and Automata TheoryES401
Managerial Economics and Financial AccountancyHS401
Natural Language Processing with PythonSO401
Probability and StatisticsBS401
R Programming LabCS401P
Web Application Development LabES401P
Semester 5
Compiler DesignPC501
Employability Skills-IMC501
Machine LearningPC503
Machine Learning LabPC502P
Open Elective-I / Optimization in Operations Research (Job oriented course)OE501
Operating SystemsPC502
Operating Systems & Compiler Design LabPC501P
Professional Elective-I (Software Engineering / Computer Vision / Data Visualization / DevOps / Machine Learning for Engineering and Science Applications)PE501
Skill Oriented Course - III (Continuous Integration and Continuous Delivery using DevOps)SO501
Summer InternshipPR501
Semester 6
Algorithms for Efficient Coding LabPC602P
Computer NetworksPC601
Computer Networks LabPC601P
Deep LearningPC602
Deep Learning with TensorflowPC603P
Design and Analysis of AlgorithmsPC603
Employability skills-IIMC601
Open Elective-II / MEAN Stack Development (Job Oriented Course)OE601
Professional Elective-II (Software Project Management / Distributed Systems / Internet of Things / Network Programming)PE601
Skill Oriented Course - IV (MEAN Stack Technologies-Module I- HTML 5, JavaScript, Node.js, Express.js and TypeScipt / Big Data : Apache Spark)SO601
Semester 7
Industrial/Research InternshipPR701
Open Elective-III / API and Microservices (Job Oriented Course)OE701
Open Elective-IV / Secure Coding Techniques (Job Oriented Course)OE702
Professional Elective-III (Reinforcement Learning / Soft Computing / Cryptography and Network Security / Block Chain Technologies / Speech Processing)PE701
Professional Elective-IV (Robotic Process Automation / Cloud Computing / Big Data Analytics / NOSQL Databases / Video Analytics)PE702
Professional Elective-V (Social Network Analysis / Recommender Systems / AI Chatbots / Object Oriented Analysis and Design / Semantic Web)PE703
Skill Oriented Course (Machine Learning with Go (Infosys Spring Board) / MEAN Stack Technologies-Module II- Angular JS and MongoDB)SO701
Universal Human Values 2: Understanding HarmonyHS701